Research Portfolio
Foundational Data Analytics
Foundational Vision-Language Models
(1/85) Method and system for meaningful counterfactual explanations
Authors: LOPEZ, Pau RODRIGUEZ and Caccia, Massimo and Zamparo, Lee and Laradji, Issam and Lacoste, Alexandre and BERMUDEZ, David VAZQUEZ
Year: 2024
Published at US Patent 11,961,287
(2/85) LitLLM: A Toolkit for Scientific Literature Review
Authors: Agarwal, Shubham and Laradji, Issam H and Charlin, Laurent and Pal, Christopher
Year: 2024
Published at arXiv
(3/85) IntentGPT: Few-Shot Intent Discovery with Large Language Models
Authors: Rodriguez, Juan A and Botzer, Nicholas and Vazquez, David and Pal, Christopher and Pedersoli, Marco and Laradji, Issam H
Year: 2024
Published at arXiv
(4/85) WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
Authors: Drouin, Alexandre and Gasse, Maxime and Caccia, Massimo and Laradji, Issam H and Del Verme, Manuel and Marty, Tom and Boisvert, L{\'e}o and Thakkar, Megh and Cappart, Quentin and Vazquez, David and others
Year: 2024
Published at ICML
(5/85) BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks
Authors: Ramesh, Amrutha Varshini and Ganapathiraman, Vignesh and Laradji, Issam H and Schmidt, Mark
Year: 2024
Published at arXiv
(6/85) InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
Authors: Sahu, Gaurav and Puri, Abhay and Rodriguez, Juan and Drouin, Alexandre and Taslakian, Perouz and Zantedeschi, Valentina and Lacoste, Alexandre and Vazquez, David and Chapados, Nicolas and Pal, Christopher and others
Year: 2024
Published at arXiv
(7/85) MixSumm: Topic-based Data Augmentation using LLMs for Low-resource Extractive Text Summarization
Authors: Sahu, Gaurav and Laradji, Issam H
Year: 2024
Published at arXiv
(8/85) Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments.
Authors: Gontier, Nicolas and Rodr{\'\i}guez, Pau and Laradji, Issam H and V{\'a}zquez, David and Pal, Christopher
Year: 2023
Published at CoRR
(9/85) Workflow discovery from dialogues in the low data regime
Authors: Laradji, Issam H and Raimondo, Stefania and Vazquez, David and Rodriguez, Pau and Pal, Christopher and others
Year: 2023
Published at Transactions on Machine Learning Research
(10/85) Method and system for localization with supervision
Authors: Laradji, Issam Hadj and BERMUDEZ, David VAZQUEZ and LOPEZ, Pau RODRIGUEZ and Pardinas, Rafael
Year: 2023
Published at US Patent App. 17/759,785
(11/85) Explaining Visual Counterfactual Explainers
Authors: Velazquez, Diego and Rodriguez, Pau and Lacoste, Alexandre and Laradji, Issam H and Roca, Xavier and Gonz{\`a}lez, Jordi
Year: 2023
Published at Transactions on Machine Learning Research
(12/85) FigGen: Text to Scientific Figure Generation
Authors: Rodriguez, Juan A and Vazquez, David and Laradji, Issam and Pedersoli, Marco and Rodriguez, Pau
Year: 2023
Published at ICLR TinyPapers
(13/85) Affinity Learning With Blind-Spot Self-Supervision for Image Denoising
Authors: Zhou, Yuhongze and Zhou, Liguang and Laradji, Issam Hadj and Lam, Tin Lun and Xu, Yangsheng
Year: 2023
Published at ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
(14/85) Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images
Authors: Mounsaveng, Saypraseuth and Laradji, Issam and V{\'a}zquez, David and Perdersoli, Marco and Ayed, Ismail Ben
Year: 2023
Published at arXiv
(15/85) TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification
Authors: Botzer, Nicholas and Vasquez, David and Weninger, Tim and Laradji, Issam
Year: 2023
Published at EMNLP Findings
(16/85) Promptmix: A class boundary augmentation method for large language model distillation
Authors: Sahu, Gaurav and Vechtomova, Olga and Bahdanau, Dzmitry and Laradji, Issam H
Year: 2023
Published at EMNLP
(17/85) The Unsolved Challenges of LLMs as Generalist Web Agents: A Case Study
Authors: Assouel, Rim and Marty, Tom and Caccia, Massimo and Laradji, Issam H and Drouin, Alexandre and Rajeswar, Sai and Palacios, Hector and Cappart, Quentin and Vazquez, David and Chapados, Nicolas and others
Year: 2023
Published at NeurIPS 2023 Foundation Models for Decision Making Workshop
(18/85) Capture the Flag: Uncovering Data Insights with Large Language Models
Authors: Laradji, Issam and Taslakian, Perouz and Rajeswar, Sai and Zantedeschi, Valentina and Lacoste, Alexandre and Chapados, Nicolas and Vazquez, David and Pal, Christopher and Drouin, Alexandre
Year: 2023
Published at NeurIPS FMDM
(19/85) Can AI Read the Minds of Corporate Executives?
Authors: Chapados, Nicolas and Fan, Zhenzhen and Goyenko, Ruslan and Laradji, Issam Hadj and Liu, Fred and Zhang, Chengyu
Year: 2023
Published at Available at SSRN
(20/85) Enchancing semi-supervised learning for extractive summarization with an llm-based pseudolabeler
Authors: Sahu, Gaurav and Vechtomova, Olga and Laradji, Issam H
Year: 2023
Published at arXiv
(21/85) LLM aided semi-supervision for Extractive Dialog Summarization
Authors: Mishra, Nishant and Sahu, Gaurav and Calixto, Iacer and Abu-Hanna, Ameen and Laradji, Issam H
Year: 2023
Published at EMNLP Findings
(22/85) Machine learning prediction of workflow steps
Authors: El Hattami, Amine and Pal, Christopher Joseph and Berm{\'u}dez, David Mar{\'\i}a V{\'a}zquez and Laradji, Issam Hadj and Raimondo, Stefania Evelina
Year: 2023
Published at US Patent App. 17/751,464
(23/85) Starvector: Generating scalable vector graphics code from images
Authors: Rodriguez, Juan A and Agarwal, Shubham and Laradji, Issam H and Rodriguez, Pau and Vazquez, David and Pal, Christopher and Pedersoli, Marco
Year: 2023
Published at arXiv
(24/85) Language Decision Transformers with Exponential Tilt for Interactive Text Environments
Authors: Gontier, Nicolas and Rodriguez, Pau and Laradji, Issam and Vazquez, David and Pal, Christopher
Year: 2023
Published at arXiv
(25/85) Cvpr 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions
Authors: Lomonaco, Vincenzo and Pellegrini, Lorenzo and Rodriguez, Pau and Caccia, Massimo and She, Qi and Chen, Yu and Jodelet, Quentin and Wang, Ruiping and Mai, Zheda and Vazquez, David and others
Year: 2022
Published at Artificial Intelligence (AI)
(26/85) A survey of self-supervised and few-shot object detection
Authors: Huang, Gabriel and Laradji, Issam and V{\'a}zquez, David and Lacoste-Julien, Simon and Rodriguez, Pau
Year: 2022
Published at Transactions on Pattern Analysis and Machine Intelligence (PAMI)
(27/85) Neural point light fields
Authors: Ost, Julian and Laradji, Issam and Newell, Alejandro and Bahat, Yuval and Heide, Felix
Year: 2022
Published at Conference on Computer Vision and Pattern Recognition (CVPR)
(28/85) Kubric: A scalable dataset generator
Authors: Greff, Klaus and Belletti, Francois and Beyer, Lucas and Doersch, Carl and Du, Yilun and Duckworth, Daniel and Fleet, David J and Gnanapragasam, Dan and Golemo, Florian and Herrmann, Charles and others
Year: 2022
Published at Computer Vision and Pattern Recognition (CVPR)
(29/85) A Soft Labeling Approach to Develop Automated Algorithms that Incorporate Uncertainty in Pulmonary Opacification on Chest CT using COVID-19 Pneumonia
Authors: Lensink, Keegan and Lo, Fu Jorden and Eddy, Rachel L and Law, Marco and Laradji, Issam and Haber, Eldad and Nicolaou, Savvas and Murphy, Darra and Parker, William A
Year: 2022
Published at Academic Radiology (AR)
(30/85) Challenges in leveraging GANs for few-shot data augmentation
Authors: Beckham, Christopher and Laradji, Issam and Rodriguez, Pau and Vazquez, David and Nowrouzezahrai, Derek and Pal, Christopher
Year: 2022
Published at CoLLAs 2022
(31/85) Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Authors: Sahu, Gaurav and Rodriguez, Pau and Laradji, Issam H and Atighehchian, Parmida and Vazquez, David and Bahdanau, Dzmitry
Year: 2022
Published at NLP4ConvAI 2022
(32/85) Workflow Discovery from Dialogues in the Low Data Regime
Authors: Hattami, Amine El and Laradji, Issam and Raimondo, Stefania and Vazquez, David and Rodriguez, Pau and Pal, Chris
Year: 2022
Published at TMLR
(33/85) Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence
Authors: Nutini, Julie and Laradji, Issam and Schmidt, Mark
Year: 2022
Published at Journal of Machine Learning Research (JMLR)
(34/85) Constraining Representations Yields Models That Know What They Don't Know
Authors: Monteiro, Joao and Rodriguez, Pau and Noel, Pierre-Andre and Laradji, Issam and Vazquez, David
Year: 2022
Published at ICLR 2023
(35/85) OCR-VQGAN: Taming Text-within-Image Generation
Authors: Rodriguez, Juan A and Vazquez, David and Laradji, Issam and Pedersoli, Marco and Rodriguez, Pau
Year: 2022
Published at WACV 2023
(36/85) Overcoming challenges in leveraging GANs for few-shot data augmentation
Authors: Beckham, Christopher and Laradji, Issam and Rodriguez, Pau and Vazquez, David and Nowrouzezahrai, Derek and Pal, Christopher
Year: 2022
Published at arXiv
(37/85) Stochastic polyak step-size for sgd: An adaptive learning rate for fast convergence
Authors: Loizou, Nicolas and Vaswani, Sharan and Laradji, Issam Hadj and Lacoste-Julien, Simon
Year: 2021
Published at Artificial Intelligence and Statistics (AISTATS)
(38/85) Learning data augmentation with online bilevel optimization for image classification
Authors: Mounsaveng, Saypraseuth and Laradji, Issam and Ben Ayed, Ismail and Vazquez, David and Pedersoli, Marco
Year: 2021
Published at Winter Conference on Applications of Computer Vision (WACV)
(39/85) A weakly supervised consistency-based learning method for covid-19 segmentation in ct images
Authors: Laradji, Issam and Rodriguez, Pau and Manas, Oscar and Lensink, Keegan and Law, Marco and Kurzman, Lironne and Parker, William and Vazquez, David and Nowrouzezahrai, Derek
Year: 2021
Published at Winter Conference on Applications of Computer Vision (WACV)
(40/85) Beyond trivial counterfactual explanations with diverse valuable explanations
Authors: Rodr{\'\i}guez, Pau and Caccia, Massimo and Lacoste, Alexandre and Zamparo, Lee and Laradji, Issam and Charlin, Laurent and Vazquez, David
Year: 2021
Published at International Conference on Computer Vision (ICCV)
(41/85) A deep learning localization method for measuring abdominal muscle dimensions in ultrasound images
Authors: Saleh, Alzayat and Laradji, Issam H and Lammie, Corey and Vazquez, David and Flavell, Carol A and Azghadi, Mostafa Rahimi
Year: 2021
Published at Journal of Biomedical and Health Informatics (JBHI)
(42/85) Method of and system for generating training images for instance segmentation machine learning algorithm
Authors: Laradji, Issam Hadj and BERMUDEZ, David VAZQUEZ
Year: 2021
Published at US Patent 11,151,417
(43/85) SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction
Authors: Laradji, Issam and Rodr{\'\i}guez, Pau and Vazquez, David and Nowrouzezahrai, Derek
Year: 2021
Published at International Conference on Computer Vision (ICCV) Workshop
(44/85) Weakly supervised underwater fish segmentation using affinity LCFCN
Authors: Laradji, Issam H and Saleh, Alzayat and Rodriguez, Pau and Nowrouzezahrai, Derek and Azghadi, Mostafa Rahimi and Vazquez, David
Year: 2021
Published at Nature Scientific Reports
(45/85) On Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants
Authors: D’Orazio, Ryan and Loizou, Nicolas and Laradji, Issam and Mitliagkas, Ioannis
Year: 2021
Published at International Conference of Machine Learning (ICML) Workshop
(46/85) Stochastic mirror descent: Convergence analysis and adaptive variants via the mirror stochastic polyak stepsize
Authors: D'Orazio, Ryan and Loizou, Nicolas and Laradji, Issam and Mitliagkas, Ioannis
Year: 2021
Published at arXiv
(47/85) M-ADDA: Unsupervised domain adaptation with deep metric learning
Authors: Laradji, Issam H and Babanezhad, Reza
Year: 2020
Published at Domain Adaptation for Visual Understanding (ICML Workshop)
(48/85) Fast and furious convergence: Stochastic second order methods under interpolation
Authors: Meng, Si Yi and Vaswani, Sharan and Laradji, Issam Hadj and Schmidt, Mark and Lacoste-Julien, Simon
Year: 2020
Published at Artificial Intelligence and Statistics (AISTATS)
(49/85) Counting objects in images based on approximate locations
Authors: Laradji, Issam Hadj and Rostamzadeh, Negar and PINHEIRO, Pedro Henrique OLIVEIRA and BERMUDEZ, David MARIA VAZQUEZ and SCHMIDT, Mark William
Year: 2020
Published at US Patent 10,853,943
(50/85) Embedding propagation: Smoother manifold for few-shot classification
Authors: Rodr{\'\i}guez, Pau and Laradji, Issam and Drouin, Alexandre and Lacoste, Alexandre
Year: 2020
Published at European Conference on Computer Vision (ECCV)
(51/85) Online fast adaptation and knowledge accumulation: a new approach to continual learning
Authors: Caccia, Massimo and Rodriguez, Pau and Ostapenko, Oleksiy and Normandin, Fabrice and Lin, Min and Caccia, Lucas and Laradji, Issam and Rish, Irina and Lacoste, Alexandre and Vazquez, David and others
Year: 2020
Published at Neural Information Processing System (NeurIPS)
(52/85) Where are the objects?: weakly supervised methods for counting, localization and segmentation
Authors: Laradji, Issam
Year: 2020
Published at arXiv
(53/85) Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search)
Authors: Vaswani, Sharan and Laradji, Issam and Kunstner, Frederik and Meng, Si Yi and Schmidt, Mark and Lacoste-Julien, Simon
Year: 2020
Published at arXiv
(54/85) Segmentation of pulmonary opacification in chest ct scans of covid-19 patients
Authors: Lensink, Keegan and Laradji, Issam and Law, Marco and Barbano, Paolo Emilio and Nicolaou, Savvas and Parker, William and Haber, Eldad
Year: 2020
Published at arXiv
(55/85) Looc: Localize overlapping objects with count supervision
Authors: Laradji, Issam H and Pardinas, Rafael and Rodriguez, Pau and Vazquez, David
Year: 2020
Published at International Conference on Image Processing (ICIP)
(56/85) A weakly supervised region-based active learning method for COVID-19 segmentation in CT images
Authors: Laradji, Issam and Rodriguez, Pau and Branchaud-Charron, Frederic and Lensink, Keegan and Atighehchian, Parmida and Parker, William and Vazquez, David and Nowrouzezahrai, Derek
Year: 2020
Published at arXiv
(57/85) A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis
Authors: Saleh, Alzayat and Laradji, Issam H and Konovalov, Dmitry A and Bradley, Michael and Vazquez, David and Sheaves, Marcus
Year: 2020
Published at Nature Scientific Reports
(58/85) Synbols: Probing learning algorithms with synthetic datasets
Authors: Lacoste, Alexandre and Rodr{\'\i}guez L{\'o}pez, Pau and Branchaud-Charron, Fr{\'e}d{\'e}ric and Atighehchian, Parmida and Caccia, Massimo and Laradji, Issam Hadj and Drouin, Alexandre and Craddock, Matthew and Charlin, Laurent and V{\'a}zquez, David
Year: 2020
Published at Neural Information Processing Systems (NeurIPS)
(59/85) Proposal-based instance segmentation with point supervision
Authors: Laradji, Issam H and Rostamzadeh, Negar and Pinheiro, Pedro O and Vazquez, David and Schmidt, Mark
Year: 2020
Published at International Conference on Image Processing (ICIP)
(60/85) Affinity lcfcn: Learning to segment fish with weak supervision
Authors: Laradji, Issam and Saleh, Alzayat and Rodriguez, Pau and Nowrouzezahrai, Derek and Azghadi, Mostafa Rahimi and Vazquez, David
Year: 2020
Published at arXiv
(61/85) Counting cows: Tracking illegal cattle ranching from high-resolution satellite imagery
Authors: Laradji, Issam and Rodriguez, Pau and Kalaitzis, Freddie and Vazquez, David and Young, Ross and Davey, Ed and Lacoste, Alexandre
Year: 2020
Published at arXiv
(62/85) Efficient deep Gaussian process models for variable-sized inputs
Authors: Laradji, Issam H and Schmidt, Mark and Pavlovic, Vladimir and Kim, Minyoung
Year: 2019
Published at International Joint Conference on Neural Networks (IJCNN)
(63/85) Painless stochastic gradient: Interpolation, line-search, and convergence rates
Authors: Vaswani, Sharan and Mishkin, Aaron and Laradji, Issam and Schmidt, Mark and Gidel, Gauthier and Lacoste-Julien, Simon
Year: 2019
Published at Neural Information Processing Systems (NeurIPS)
(64/85) Where are the masks: Instance segmentation with image-level supervision
Authors: Laradji, Issam H and Vazquez, David and Schmidt, Mark
Year: 2019
Published at British Machine Vision Conference (BMVC)
(65/85) Class-based styling: Real-time localized style transfer with semantic segmentation
Authors: Kurzman, Lironne and Vazquez, David and Laradji, Issam
Year: 2019
Published at International Conference on Computer Vision (ICCV) Workshop
(66/85) Where are the blobs: Counting by localization with point supervision
Authors: Laradji, Issam H and Rostamzadeh, Negar and Pinheiro, Pedro O and Vazquez, David and Schmidt, Mark
Year: 2018
Published at Proceedings of the European Conference on Computer Vision (ECCV)
(67/85) Masaga: a linearly-convergent stochastic first-order method for optimization on manifolds
Authors: Babanezhad, Reza and Laradji, Issam H and Shafaei, Alireza and Schmidt, Mark
Year: 2018
Published at Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD)
(68/85) Non-convex optimization
Authors: Laradji, Issam
Year: 2017
Published at arXiv
(69/85) Convergence rates for greedy Kaczmarz algorithms
Authors: Nutini, Julie and Sepehry, Behrooz and Virani, Alim and Laradji, Issam and Schmidt, Mark and Koepke, Hoyt
Year: 2016
Published at Uncertainty in Artificial Intelligence (UAI)
(70/85) Software defect prediction using ensemble learning on selected features
Authors: Laradji, Issam H and Alshayeb, Mohammad and Ghouti, Lahouari
Year: 2015
Published at Information and Software Technology (IST)
(71/85) Coordinate descent converges faster with the gauss-southwell rule than random selection
Authors: Nutini, Julie and Schmidt, Mark and Laradji, Issam and Friedlander, Michael and Koepke, Hoyt
Year: 2015
Published at International Conference on Machine Learning (ICML)
(72/85) Sparse Single-Hidden Layer Feedforward Network for Mapping Natural Language Questions to SQL Queries
Authors: Laradji, Issam H and Ghouti, Lahouari and Saleh, Faisal and AlTurki, Musab A
Year: 2014
Published at International Conference on Artificial Neural Networks (ICANN)
(73/85) XML classification using ensemble learning on extracted features
Authors: Laradji, Issam H and Salahadin, Mohammed and Ghouti, Lahouari
Year: 2014
Published at ACM Southeast Regional Conference
(74/85) Robust Feature Extraction Algorithm for Sarcasm Detection in Debates
Authors: Norton, Olivia and Laradji, Issam H
Year: 2014
Published at International Conference on Data Mining (ICDM)
(75/85) New Algorithms for Deep Learning Machines
Authors: Laradji, Issam Hadj
Year: 2014
Published at arXiv
(76/85) Software defect prediction using ensemble learning on selected
Authors: Laradji, Issam H and Alshayeb, Mohammad and Ghouti, Lahouari
Year: 2014
Published at arXiv
(77/85) Perceptual hashing of color images using hypercomplex representations
Authors: Laradji, Issam H and Ghouti, Lahouari and Khiari, El-Hebri
Year: 2013
Published at International Conference on Image Processing (ICIP)
(78/85) Graphical Newton for Huge-Block Coordinate Descent on Sparse Graphs
Authors: Laradji, Issam and Nutini, Julie and Schmidt, Mark
Year: Unknown Year
Published at ICML Workshop
(79/85) Supplementary Material Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
Authors: Rodr{\i}guez, Pau and Caccia, Massimo and Lacoste, Alexandre and Zamparo, Lee and Laradji, Issam and Charlin, Laurent and Vazquez, David
Year: Unknown Year
Published at arXiv
(80/85) Neural Point Light Fields Supplementary Material
Authors: Ost, Julian and Laradji, Issam and Newell, Alejandro and Bahat, Yuval and Heide, Felix
Year: Unknown Year
Published at arXiv
(81/85) Constraining Low-level Representations to Define Effective Confidence Scores
Authors: Monteiro, Joao and Rodriguez, Pau and Noel, Pierre-Andre and Laradji, Issam H and Vazquez, David
Year: Unknown Year
Published at NeurIPS ML Safety Workshop
(82/85) Countering Language Drift with KL Regularization
Authors: Noukhovitch, Michael and Lavoie, Samuel and Laradji, Issam H and Kiela, Douwe and Strub, Florian and Courville, Aaron
Year: Unknown Year
Published at arXiv
(83/85) Evaluating Counterfactual Explainers
Authors: Velazquez, Diego and Rodriguez, Pau and Lacoste, Alexandre and Laradji, Issam H and Roca, Xavier and Gonz{\`a}lez, Jordi
Year: Unknown Year
Published at arXiv
(84/85) Surrogate Minimization: An Optimization Algorithm for Training Large Neural Networks with Model Parallelism
Authors: Asad, Reza and Harikandeh, Reza Babanezhad and Laradji, Issam H and Le Roux, Nicolas and Vaswani, Sharan
Year: Unknown Year
Published at OPT 2023: Optimization for Machine Learning
(85/85) Plan-based Prompting Improves Literature Review Generation
Authors: Agarwal, Shubham and Laradji, Issam H and Charlin, Laurent and Pal, Christopher
Year: Unknown Year
Published at arXiv
(1/85) Method and system for meaningful counterfactual explanations
Authors: LOPEZ, Pau RODRIGUEZ and Caccia, Massimo and Zamparo, Lee and Laradji, Issam and Lacoste, Alexandre and BERMUDEZ, David VAZQUEZ
Year: 2024
Published at US Patent 11,961,287
(2/85) LitLLM: A Toolkit for Scientific Literature Review
Authors: Agarwal, Shubham and Laradji, Issam H and Charlin, Laurent and Pal, Christopher
Year: 2024
Published at arXiv
(3/85) IntentGPT: Few-Shot Intent Discovery with Large Language Models
Authors: Rodriguez, Juan A and Botzer, Nicholas and Vazquez, David and Pal, Christopher and Pedersoli, Marco and Laradji, Issam H
Year: 2024
Published at arXiv
(4/85) WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
Authors: Drouin, Alexandre and Gasse, Maxime and Caccia, Massimo and Laradji, Issam H and Del Verme, Manuel and Marty, Tom and Boisvert, L{\'e}o and Thakkar, Megh and Cappart, Quentin and Vazquez, David and others
Year: 2024
Published at ICML
(5/85) BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks
Authors: Ramesh, Amrutha Varshini and Ganapathiraman, Vignesh and Laradji, Issam H and Schmidt, Mark
Year: 2024
Published at arXiv
(6/85) InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
Authors: Sahu, Gaurav and Puri, Abhay and Rodriguez, Juan and Drouin, Alexandre and Taslakian, Perouz and Zantedeschi, Valentina and Lacoste, Alexandre and Vazquez, David and Chapados, Nicolas and Pal, Christopher and others
Year: 2024
Published at arXiv
(7/85) MixSumm: Topic-based Data Augmentation using LLMs for Low-resource Extractive Text Summarization
Authors: Sahu, Gaurav and Laradji, Issam H
Year: 2024
Published at arXiv
(8/85) Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments.
Authors: Gontier, Nicolas and Rodr{\'\i}guez, Pau and Laradji, Issam H and V{\'a}zquez, David and Pal, Christopher
Year: 2023
Published at CoRR
(9/85) Workflow discovery from dialogues in the low data regime
Authors: Laradji, Issam H and Raimondo, Stefania and Vazquez, David and Rodriguez, Pau and Pal, Christopher and others
Year: 2023
Published at Transactions on Machine Learning Research
(10/85) Method and system for localization with supervision
Authors: Laradji, Issam Hadj and BERMUDEZ, David VAZQUEZ and LOPEZ, Pau RODRIGUEZ and Pardinas, Rafael
Year: 2023
Published at US Patent App. 17/759,785
(11/85) Explaining Visual Counterfactual Explainers
Authors: Velazquez, Diego and Rodriguez, Pau and Lacoste, Alexandre and Laradji, Issam H and Roca, Xavier and Gonz{\`a}lez, Jordi
Year: 2023
Published at Transactions on Machine Learning Research
(12/85) FigGen: Text to Scientific Figure Generation
Authors: Rodriguez, Juan A and Vazquez, David and Laradji, Issam and Pedersoli, Marco and Rodriguez, Pau
Year: 2023
Published at ICLR TinyPapers
(13/85) Affinity Learning With Blind-Spot Self-Supervision for Image Denoising
Authors: Zhou, Yuhongze and Zhou, Liguang and Laradji, Issam Hadj and Lam, Tin Lun and Xu, Yangsheng
Year: 2023
Published at ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
(14/85) Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images
Authors: Mounsaveng, Saypraseuth and Laradji, Issam and V{\'a}zquez, David and Perdersoli, Marco and Ayed, Ismail Ben
Year: 2023
Published at arXiv
(15/85) TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification
Authors: Botzer, Nicholas and Vasquez, David and Weninger, Tim and Laradji, Issam
Year: 2023
Published at EMNLP Findings
(16/85) Promptmix: A class boundary augmentation method for large language model distillation
Authors: Sahu, Gaurav and Vechtomova, Olga and Bahdanau, Dzmitry and Laradji, Issam H
Year: 2023
Published at EMNLP
(17/85) The Unsolved Challenges of LLMs as Generalist Web Agents: A Case Study
Authors: Assouel, Rim and Marty, Tom and Caccia, Massimo and Laradji, Issam H and Drouin, Alexandre and Rajeswar, Sai and Palacios, Hector and Cappart, Quentin and Vazquez, David and Chapados, Nicolas and others
Year: 2023
Published at NeurIPS 2023 Foundation Models for Decision Making Workshop
(18/85) Capture the Flag: Uncovering Data Insights with Large Language Models
Authors: Laradji, Issam and Taslakian, Perouz and Rajeswar, Sai and Zantedeschi, Valentina and Lacoste, Alexandre and Chapados, Nicolas and Vazquez, David and Pal, Christopher and Drouin, Alexandre
Year: 2023
Published at NeurIPS FMDM
(19/85) Can AI Read the Minds of Corporate Executives?
Authors: Chapados, Nicolas and Fan, Zhenzhen and Goyenko, Ruslan and Laradji, Issam Hadj and Liu, Fred and Zhang, Chengyu
Year: 2023
Published at Available at SSRN
(20/85) Enchancing semi-supervised learning for extractive summarization with an llm-based pseudolabeler
Authors: Sahu, Gaurav and Vechtomova, Olga and Laradji, Issam H
Year: 2023
Published at arXiv
(21/85) LLM aided semi-supervision for Extractive Dialog Summarization
Authors: Mishra, Nishant and Sahu, Gaurav and Calixto, Iacer and Abu-Hanna, Ameen and Laradji, Issam H
Year: 2023
Published at EMNLP Findings
(22/85) Machine learning prediction of workflow steps
Authors: El Hattami, Amine and Pal, Christopher Joseph and Berm{\'u}dez, David Mar{\'\i}a V{\'a}zquez and Laradji, Issam Hadj and Raimondo, Stefania Evelina
Year: 2023
Published at US Patent App. 17/751,464
(23/85) Starvector: Generating scalable vector graphics code from images
Authors: Rodriguez, Juan A and Agarwal, Shubham and Laradji, Issam H and Rodriguez, Pau and Vazquez, David and Pal, Christopher and Pedersoli, Marco
Year: 2023
Published at arXiv
(24/85) Language Decision Transformers with Exponential Tilt for Interactive Text Environments
Authors: Gontier, Nicolas and Rodriguez, Pau and Laradji, Issam and Vazquez, David and Pal, Christopher
Year: 2023
Published at arXiv
(25/85) Cvpr 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions
Authors: Lomonaco, Vincenzo and Pellegrini, Lorenzo and Rodriguez, Pau and Caccia, Massimo and She, Qi and Chen, Yu and Jodelet, Quentin and Wang, Ruiping and Mai, Zheda and Vazquez, David and others
Year: 2022
Published at Artificial Intelligence (AI)
(26/85) A survey of self-supervised and few-shot object detection
Authors: Huang, Gabriel and Laradji, Issam and V{\'a}zquez, David and Lacoste-Julien, Simon and Rodriguez, Pau
Year: 2022
Published at Transactions on Pattern Analysis and Machine Intelligence (PAMI)
(27/85) Neural point light fields
Authors: Ost, Julian and Laradji, Issam and Newell, Alejandro and Bahat, Yuval and Heide, Felix
Year: 2022
Published at Conference on Computer Vision and Pattern Recognition (CVPR)
(28/85) Kubric: A scalable dataset generator
Authors: Greff, Klaus and Belletti, Francois and Beyer, Lucas and Doersch, Carl and Du, Yilun and Duckworth, Daniel and Fleet, David J and Gnanapragasam, Dan and Golemo, Florian and Herrmann, Charles and others
Year: 2022
Published at Computer Vision and Pattern Recognition (CVPR)
(29/85) A Soft Labeling Approach to Develop Automated Algorithms that Incorporate Uncertainty in Pulmonary Opacification on Chest CT using COVID-19 Pneumonia
Authors: Lensink, Keegan and Lo, Fu Jorden and Eddy, Rachel L and Law, Marco and Laradji, Issam and Haber, Eldad and Nicolaou, Savvas and Murphy, Darra and Parker, William A
Year: 2022
Published at Academic Radiology (AR)
(30/85) Challenges in leveraging GANs for few-shot data augmentation
Authors: Beckham, Christopher and Laradji, Issam and Rodriguez, Pau and Vazquez, David and Nowrouzezahrai, Derek and Pal, Christopher
Year: 2022
Published at CoLLAs 2022
(31/85) Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Authors: Sahu, Gaurav and Rodriguez, Pau and Laradji, Issam H and Atighehchian, Parmida and Vazquez, David and Bahdanau, Dzmitry
Year: 2022
Published at NLP4ConvAI 2022
(32/85) Workflow Discovery from Dialogues in the Low Data Regime
Authors: Hattami, Amine El and Laradji, Issam and Raimondo, Stefania and Vazquez, David and Rodriguez, Pau and Pal, Chris
Year: 2022
Published at TMLR
(33/85) Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence
Authors: Nutini, Julie and Laradji, Issam and Schmidt, Mark
Year: 2022
Published at Journal of Machine Learning Research (JMLR)
(34/85) Constraining Representations Yields Models That Know What They Don't Know
Authors: Monteiro, Joao and Rodriguez, Pau and Noel, Pierre-Andre and Laradji, Issam and Vazquez, David
Year: 2022
Published at ICLR 2023
(35/85) OCR-VQGAN: Taming Text-within-Image Generation
Authors: Rodriguez, Juan A and Vazquez, David and Laradji, Issam and Pedersoli, Marco and Rodriguez, Pau
Year: 2022
Published at WACV 2023
(36/85) Overcoming challenges in leveraging GANs for few-shot data augmentation
Authors: Beckham, Christopher and Laradji, Issam and Rodriguez, Pau and Vazquez, David and Nowrouzezahrai, Derek and Pal, Christopher
Year: 2022
Published at arXiv
(37/85) Stochastic polyak step-size for sgd: An adaptive learning rate for fast convergence
Authors: Loizou, Nicolas and Vaswani, Sharan and Laradji, Issam Hadj and Lacoste-Julien, Simon
Year: 2021
Published at Artificial Intelligence and Statistics (AISTATS)
(38/85) Learning data augmentation with online bilevel optimization for image classification
Authors: Mounsaveng, Saypraseuth and Laradji, Issam and Ben Ayed, Ismail and Vazquez, David and Pedersoli, Marco
Year: 2021
Published at Winter Conference on Applications of Computer Vision (WACV)
(39/85) A weakly supervised consistency-based learning method for covid-19 segmentation in ct images
Authors: Laradji, Issam and Rodriguez, Pau and Manas, Oscar and Lensink, Keegan and Law, Marco and Kurzman, Lironne and Parker, William and Vazquez, David and Nowrouzezahrai, Derek
Year: 2021
Published at Winter Conference on Applications of Computer Vision (WACV)
(40/85) Beyond trivial counterfactual explanations with diverse valuable explanations
Authors: Rodr{\'\i}guez, Pau and Caccia, Massimo and Lacoste, Alexandre and Zamparo, Lee and Laradji, Issam and Charlin, Laurent and Vazquez, David
Year: 2021
Published at International Conference on Computer Vision (ICCV)
(41/85) A deep learning localization method for measuring abdominal muscle dimensions in ultrasound images
Authors: Saleh, Alzayat and Laradji, Issam H and Lammie, Corey and Vazquez, David and Flavell, Carol A and Azghadi, Mostafa Rahimi
Year: 2021
Published at Journal of Biomedical and Health Informatics (JBHI)
(42/85) Method of and system for generating training images for instance segmentation machine learning algorithm
Authors: Laradji, Issam Hadj and BERMUDEZ, David VAZQUEZ
Year: 2021
Published at US Patent 11,151,417
(43/85) SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction
Authors: Laradji, Issam and Rodr{\'\i}guez, Pau and Vazquez, David and Nowrouzezahrai, Derek
Year: 2021
Published at International Conference on Computer Vision (ICCV) Workshop
(44/85) Weakly supervised underwater fish segmentation using affinity LCFCN
Authors: Laradji, Issam H and Saleh, Alzayat and Rodriguez, Pau and Nowrouzezahrai, Derek and Azghadi, Mostafa Rahimi and Vazquez, David
Year: 2021
Published at Nature Scientific Reports
(45/85) On Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants
Authors: D’Orazio, Ryan and Loizou, Nicolas and Laradji, Issam and Mitliagkas, Ioannis
Year: 2021
Published at International Conference of Machine Learning (ICML) Workshop
(46/85) Stochastic mirror descent: Convergence analysis and adaptive variants via the mirror stochastic polyak stepsize
Authors: D'Orazio, Ryan and Loizou, Nicolas and Laradji, Issam and Mitliagkas, Ioannis
Year: 2021
Published at arXiv
(47/85) M-ADDA: Unsupervised domain adaptation with deep metric learning
Authors: Laradji, Issam H and Babanezhad, Reza
Year: 2020
Published at Domain Adaptation for Visual Understanding (ICML Workshop)
(48/85) Fast and furious convergence: Stochastic second order methods under interpolation
Authors: Meng, Si Yi and Vaswani, Sharan and Laradji, Issam Hadj and Schmidt, Mark and Lacoste-Julien, Simon
Year: 2020
Published at Artificial Intelligence and Statistics (AISTATS)
(49/85) Counting objects in images based on approximate locations
Authors: Laradji, Issam Hadj and Rostamzadeh, Negar and PINHEIRO, Pedro Henrique OLIVEIRA and BERMUDEZ, David MARIA VAZQUEZ and SCHMIDT, Mark William
Year: 2020
Published at US Patent 10,853,943
(50/85) Embedding propagation: Smoother manifold for few-shot classification
Authors: Rodr{\'\i}guez, Pau and Laradji, Issam and Drouin, Alexandre and Lacoste, Alexandre
Year: 2020
Published at European Conference on Computer Vision (ECCV)
(51/85) Online fast adaptation and knowledge accumulation: a new approach to continual learning
Authors: Caccia, Massimo and Rodriguez, Pau and Ostapenko, Oleksiy and Normandin, Fabrice and Lin, Min and Caccia, Lucas and Laradji, Issam and Rish, Irina and Lacoste, Alexandre and Vazquez, David and others
Year: 2020
Published at Neural Information Processing System (NeurIPS)
(52/85) Where are the objects?: weakly supervised methods for counting, localization and segmentation
Authors: Laradji, Issam
Year: 2020
Published at arXiv
(53/85) Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search)
Authors: Vaswani, Sharan and Laradji, Issam and Kunstner, Frederik and Meng, Si Yi and Schmidt, Mark and Lacoste-Julien, Simon
Year: 2020
Published at arXiv
(54/85) Segmentation of pulmonary opacification in chest ct scans of covid-19 patients
Authors: Lensink, Keegan and Laradji, Issam and Law, Marco and Barbano, Paolo Emilio and Nicolaou, Savvas and Parker, William and Haber, Eldad
Year: 2020
Published at arXiv
(55/85) Looc: Localize overlapping objects with count supervision
Authors: Laradji, Issam H and Pardinas, Rafael and Rodriguez, Pau and Vazquez, David
Year: 2020
Published at International Conference on Image Processing (ICIP)
(56/85) A weakly supervised region-based active learning method for COVID-19 segmentation in CT images
Authors: Laradji, Issam and Rodriguez, Pau and Branchaud-Charron, Frederic and Lensink, Keegan and Atighehchian, Parmida and Parker, William and Vazquez, David and Nowrouzezahrai, Derek
Year: 2020
Published at arXiv
(57/85) A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis
Authors: Saleh, Alzayat and Laradji, Issam H and Konovalov, Dmitry A and Bradley, Michael and Vazquez, David and Sheaves, Marcus
Year: 2020
Published at Nature Scientific Reports
(58/85) Synbols: Probing learning algorithms with synthetic datasets
Authors: Lacoste, Alexandre and Rodr{\'\i}guez L{\'o}pez, Pau and Branchaud-Charron, Fr{\'e}d{\'e}ric and Atighehchian, Parmida and Caccia, Massimo and Laradji, Issam Hadj and Drouin, Alexandre and Craddock, Matthew and Charlin, Laurent and V{\'a}zquez, David
Year: 2020
Published at Neural Information Processing Systems (NeurIPS)
(59/85) Proposal-based instance segmentation with point supervision
Authors: Laradji, Issam H and Rostamzadeh, Negar and Pinheiro, Pedro O and Vazquez, David and Schmidt, Mark
Year: 2020
Published at International Conference on Image Processing (ICIP)
(60/85) Affinity lcfcn: Learning to segment fish with weak supervision
Authors: Laradji, Issam and Saleh, Alzayat and Rodriguez, Pau and Nowrouzezahrai, Derek and Azghadi, Mostafa Rahimi and Vazquez, David
Year: 2020
Published at arXiv
(61/85) Counting cows: Tracking illegal cattle ranching from high-resolution satellite imagery
Authors: Laradji, Issam and Rodriguez, Pau and Kalaitzis, Freddie and Vazquez, David and Young, Ross and Davey, Ed and Lacoste, Alexandre
Year: 2020
Published at arXiv
(62/85) Efficient deep Gaussian process models for variable-sized inputs
Authors: Laradji, Issam H and Schmidt, Mark and Pavlovic, Vladimir and Kim, Minyoung
Year: 2019
Published at International Joint Conference on Neural Networks (IJCNN)
(63/85) Painless stochastic gradient: Interpolation, line-search, and convergence rates
Authors: Vaswani, Sharan and Mishkin, Aaron and Laradji, Issam and Schmidt, Mark and Gidel, Gauthier and Lacoste-Julien, Simon
Year: 2019
Published at Neural Information Processing Systems (NeurIPS)
(64/85) Where are the masks: Instance segmentation with image-level supervision
Authors: Laradji, Issam H and Vazquez, David and Schmidt, Mark
Year: 2019
Published at British Machine Vision Conference (BMVC)
(65/85) Class-based styling: Real-time localized style transfer with semantic segmentation
Authors: Kurzman, Lironne and Vazquez, David and Laradji, Issam
Year: 2019
Published at International Conference on Computer Vision (ICCV) Workshop
(66/85) Where are the blobs: Counting by localization with point supervision
Authors: Laradji, Issam H and Rostamzadeh, Negar and Pinheiro, Pedro O and Vazquez, David and Schmidt, Mark
Year: 2018
Published at Proceedings of the European Conference on Computer Vision (ECCV)
(67/85) Masaga: a linearly-convergent stochastic first-order method for optimization on manifolds
Authors: Babanezhad, Reza and Laradji, Issam H and Shafaei, Alireza and Schmidt, Mark
Year: 2018
Published at Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD)
(68/85) Non-convex optimization
Authors: Laradji, Issam
Year: 2017
Published at arXiv
(69/85) Convergence rates for greedy Kaczmarz algorithms
Authors: Nutini, Julie and Sepehry, Behrooz and Virani, Alim and Laradji, Issam and Schmidt, Mark and Koepke, Hoyt
Year: 2016
Published at Uncertainty in Artificial Intelligence (UAI)
(70/85) Software defect prediction using ensemble learning on selected features
Authors: Laradji, Issam H and Alshayeb, Mohammad and Ghouti, Lahouari
Year: 2015
Published at Information and Software Technology (IST)
(71/85) Coordinate descent converges faster with the gauss-southwell rule than random selection
Authors: Nutini, Julie and Schmidt, Mark and Laradji, Issam and Friedlander, Michael and Koepke, Hoyt
Year: 2015
Published at International Conference on Machine Learning (ICML)
(72/85) Sparse Single-Hidden Layer Feedforward Network for Mapping Natural Language Questions to SQL Queries
Authors: Laradji, Issam H and Ghouti, Lahouari and Saleh, Faisal and AlTurki, Musab A
Year: 2014
Published at International Conference on Artificial Neural Networks (ICANN)
(73/85) XML classification using ensemble learning on extracted features
Authors: Laradji, Issam H and Salahadin, Mohammed and Ghouti, Lahouari
Year: 2014
Published at ACM Southeast Regional Conference
(74/85) Robust Feature Extraction Algorithm for Sarcasm Detection in Debates
Authors: Norton, Olivia and Laradji, Issam H
Year: 2014
Published at International Conference on Data Mining (ICDM)
(75/85) New Algorithms for Deep Learning Machines
Authors: Laradji, Issam Hadj
Year: 2014
Published at arXiv
(76/85) Software defect prediction using ensemble learning on selected
Authors: Laradji, Issam H and Alshayeb, Mohammad and Ghouti, Lahouari
Year: 2014
Published at arXiv
(77/85) Perceptual hashing of color images using hypercomplex representations
Authors: Laradji, Issam H and Ghouti, Lahouari and Khiari, El-Hebri
Year: 2013
Published at International Conference on Image Processing (ICIP)
(78/85) Graphical Newton for Huge-Block Coordinate Descent on Sparse Graphs
Authors: Laradji, Issam and Nutini, Julie and Schmidt, Mark
Year: Unknown Year
Published at ICML Workshop
(79/85) Supplementary Material Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
Authors: Rodr{\i}guez, Pau and Caccia, Massimo and Lacoste, Alexandre and Zamparo, Lee and Laradji, Issam and Charlin, Laurent and Vazquez, David
Year: Unknown Year
Published at arXiv
(80/85) Neural Point Light Fields Supplementary Material
Authors: Ost, Julian and Laradji, Issam and Newell, Alejandro and Bahat, Yuval and Heide, Felix
Year: Unknown Year
Published at arXiv
(81/85) Constraining Low-level Representations to Define Effective Confidence Scores
Authors: Monteiro, Joao and Rodriguez, Pau and Noel, Pierre-Andre and Laradji, Issam H and Vazquez, David
Year: Unknown Year
Published at NeurIPS ML Safety Workshop
(82/85) Countering Language Drift with KL Regularization
Authors: Noukhovitch, Michael and Lavoie, Samuel and Laradji, Issam H and Kiela, Douwe and Strub, Florian and Courville, Aaron
Year: Unknown Year
Published at arXiv
(83/85) Evaluating Counterfactual Explainers
Authors: Velazquez, Diego and Rodriguez, Pau and Lacoste, Alexandre and Laradji, Issam H and Roca, Xavier and Gonz{\`a}lez, Jordi
Year: Unknown Year
Published at arXiv
(84/85) Surrogate Minimization: An Optimization Algorithm for Training Large Neural Networks with Model Parallelism
Authors: Asad, Reza and Harikandeh, Reza Babanezhad and Laradji, Issam H and Le Roux, Nicolas and Vaswani, Sharan
Year: Unknown Year
Published at OPT 2023: Optimization for Machine Learning
(85/85) Plan-based Prompting Improves Literature Review Generation
Authors: Agarwal, Shubham and Laradji, Issam H and Charlin, Laurent and Pal, Christopher
Year: Unknown Year
Published at arXiv
Research Tool 1
A brief description of Research Tool 1.
Research Tool 2
A brief description of Research Tool 2.
(1/85) Method and system for meaningful counterfactual explanations
Authors: LOPEZ, Pau RODRIGUEZ and Caccia, Massimo and Zamparo, Lee and Laradji, Issam and Lacoste, Alexandre and BERMUDEZ, David VAZQUEZ
Year: 2024
Published at US Patent 11,961,287
(2/85) LitLLM: A Toolkit for Scientific Literature Review
Authors: Agarwal, Shubham and Laradji, Issam H and Charlin, Laurent and Pal, Christopher
Year: 2024
Published at arXiv
(3/85) IntentGPT: Few-Shot Intent Discovery with Large Language Models
Authors: Rodriguez, Juan A and Botzer, Nicholas and Vazquez, David and Pal, Christopher and Pedersoli, Marco and Laradji, Issam H
Year: 2024
Published at arXiv
(4/85) WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
Authors: Drouin, Alexandre and Gasse, Maxime and Caccia, Massimo and Laradji, Issam H and Del Verme, Manuel and Marty, Tom and Boisvert, L{\'e}o and Thakkar, Megh and Cappart, Quentin and Vazquez, David and others
Year: 2024
Published at ICML
(5/85) BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks
Authors: Ramesh, Amrutha Varshini and Ganapathiraman, Vignesh and Laradji, Issam H and Schmidt, Mark
Year: 2024
Published at arXiv
(6/85) InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
Authors: Sahu, Gaurav and Puri, Abhay and Rodriguez, Juan and Drouin, Alexandre and Taslakian, Perouz and Zantedeschi, Valentina and Lacoste, Alexandre and Vazquez, David and Chapados, Nicolas and Pal, Christopher and others
Year: 2024
Published at arXiv
(7/85) MixSumm: Topic-based Data Augmentation using LLMs for Low-resource Extractive Text Summarization
Authors: Sahu, Gaurav and Laradji, Issam H
Year: 2024
Published at arXiv
(8/85) Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments.
Authors: Gontier, Nicolas and Rodr{\'\i}guez, Pau and Laradji, Issam H and V{\'a}zquez, David and Pal, Christopher
Year: 2023
Published at CoRR
(9/85) Workflow discovery from dialogues in the low data regime
Authors: Laradji, Issam H and Raimondo, Stefania and Vazquez, David and Rodriguez, Pau and Pal, Christopher and others
Year: 2023
Published at Transactions on Machine Learning Research
(10/85) Method and system for localization with supervision
Authors: Laradji, Issam Hadj and BERMUDEZ, David VAZQUEZ and LOPEZ, Pau RODRIGUEZ and Pardinas, Rafael
Year: 2023
Published at US Patent App. 17/759,785
(11/85) Explaining Visual Counterfactual Explainers
Authors: Velazquez, Diego and Rodriguez, Pau and Lacoste, Alexandre and Laradji, Issam H and Roca, Xavier and Gonz{\`a}lez, Jordi
Year: 2023
Published at Transactions on Machine Learning Research
(12/85) FigGen: Text to Scientific Figure Generation
Authors: Rodriguez, Juan A and Vazquez, David and Laradji, Issam and Pedersoli, Marco and Rodriguez, Pau
Year: 2023
Published at ICLR TinyPapers
(13/85) Affinity Learning With Blind-Spot Self-Supervision for Image Denoising
Authors: Zhou, Yuhongze and Zhou, Liguang and Laradji, Issam Hadj and Lam, Tin Lun and Xu, Yangsheng
Year: 2023
Published at ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
(14/85) Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images
Authors: Mounsaveng, Saypraseuth and Laradji, Issam and V{\'a}zquez, David and Perdersoli, Marco and Ayed, Ismail Ben
Year: 2023
Published at arXiv
(15/85) TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification
Authors: Botzer, Nicholas and Vasquez, David and Weninger, Tim and Laradji, Issam
Year: 2023
Published at EMNLP Findings
(16/85) Promptmix: A class boundary augmentation method for large language model distillation
Authors: Sahu, Gaurav and Vechtomova, Olga and Bahdanau, Dzmitry and Laradji, Issam H
Year: 2023
Published at EMNLP
(17/85) The Unsolved Challenges of LLMs as Generalist Web Agents: A Case Study
Authors: Assouel, Rim and Marty, Tom and Caccia, Massimo and Laradji, Issam H and Drouin, Alexandre and Rajeswar, Sai and Palacios, Hector and Cappart, Quentin and Vazquez, David and Chapados, Nicolas and others
Year: 2023
Published at NeurIPS 2023 Foundation Models for Decision Making Workshop
(18/85) Capture the Flag: Uncovering Data Insights with Large Language Models
Authors: Laradji, Issam and Taslakian, Perouz and Rajeswar, Sai and Zantedeschi, Valentina and Lacoste, Alexandre and Chapados, Nicolas and Vazquez, David and Pal, Christopher and Drouin, Alexandre
Year: 2023
Published at NeurIPS FMDM
(19/85) Can AI Read the Minds of Corporate Executives?
Authors: Chapados, Nicolas and Fan, Zhenzhen and Goyenko, Ruslan and Laradji, Issam Hadj and Liu, Fred and Zhang, Chengyu
Year: 2023
Published at Available at SSRN
(20/85) Enchancing semi-supervised learning for extractive summarization with an llm-based pseudolabeler
Authors: Sahu, Gaurav and Vechtomova, Olga and Laradji, Issam H
Year: 2023
Published at arXiv
(21/85) LLM aided semi-supervision for Extractive Dialog Summarization
Authors: Mishra, Nishant and Sahu, Gaurav and Calixto, Iacer and Abu-Hanna, Ameen and Laradji, Issam H
Year: 2023
Published at EMNLP Findings
(22/85) Machine learning prediction of workflow steps
Authors: El Hattami, Amine and Pal, Christopher Joseph and Berm{\'u}dez, David Mar{\'\i}a V{\'a}zquez and Laradji, Issam Hadj and Raimondo, Stefania Evelina
Year: 2023
Published at US Patent App. 17/751,464
(23/85) Starvector: Generating scalable vector graphics code from images
Authors: Rodriguez, Juan A and Agarwal, Shubham and Laradji, Issam H and Rodriguez, Pau and Vazquez, David and Pal, Christopher and Pedersoli, Marco
Year: 2023
Published at arXiv
(24/85) Language Decision Transformers with Exponential Tilt for Interactive Text Environments
Authors: Gontier, Nicolas and Rodriguez, Pau and Laradji, Issam and Vazquez, David and Pal, Christopher
Year: 2023
Published at arXiv
(25/85) Cvpr 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions
Authors: Lomonaco, Vincenzo and Pellegrini, Lorenzo and Rodriguez, Pau and Caccia, Massimo and She, Qi and Chen, Yu and Jodelet, Quentin and Wang, Ruiping and Mai, Zheda and Vazquez, David and others
Year: 2022
Published at Artificial Intelligence (AI)
(26/85) A survey of self-supervised and few-shot object detection
Authors: Huang, Gabriel and Laradji, Issam and V{\'a}zquez, David and Lacoste-Julien, Simon and Rodriguez, Pau
Year: 2022
Published at Transactions on Pattern Analysis and Machine Intelligence (PAMI)
(27/85) Neural point light fields
Authors: Ost, Julian and Laradji, Issam and Newell, Alejandro and Bahat, Yuval and Heide, Felix
Year: 2022
Published at Conference on Computer Vision and Pattern Recognition (CVPR)
(28/85) Kubric: A scalable dataset generator
Authors: Greff, Klaus and Belletti, Francois and Beyer, Lucas and Doersch, Carl and Du, Yilun and Duckworth, Daniel and Fleet, David J and Gnanapragasam, Dan and Golemo, Florian and Herrmann, Charles and others
Year: 2022
Published at Computer Vision and Pattern Recognition (CVPR)
(29/85) A Soft Labeling Approach to Develop Automated Algorithms that Incorporate Uncertainty in Pulmonary Opacification on Chest CT using COVID-19 Pneumonia
Authors: Lensink, Keegan and Lo, Fu Jorden and Eddy, Rachel L and Law, Marco and Laradji, Issam and Haber, Eldad and Nicolaou, Savvas and Murphy, Darra and Parker, William A
Year: 2022
Published at Academic Radiology (AR)
(30/85) Challenges in leveraging GANs for few-shot data augmentation
Authors: Beckham, Christopher and Laradji, Issam and Rodriguez, Pau and Vazquez, David and Nowrouzezahrai, Derek and Pal, Christopher
Year: 2022
Published at CoLLAs 2022
(31/85) Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Authors: Sahu, Gaurav and Rodriguez, Pau and Laradji, Issam H and Atighehchian, Parmida and Vazquez, David and Bahdanau, Dzmitry
Year: 2022
Published at NLP4ConvAI 2022
(32/85) Workflow Discovery from Dialogues in the Low Data Regime
Authors: Hattami, Amine El and Laradji, Issam and Raimondo, Stefania and Vazquez, David and Rodriguez, Pau and Pal, Chris
Year: 2022
Published at TMLR
(33/85) Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence
Authors: Nutini, Julie and Laradji, Issam and Schmidt, Mark
Year: 2022
Published at Journal of Machine Learning Research (JMLR)
(34/85) Constraining Representations Yields Models That Know What They Don't Know
Authors: Monteiro, Joao and Rodriguez, Pau and Noel, Pierre-Andre and Laradji, Issam and Vazquez, David
Year: 2022
Published at ICLR 2023
(35/85) OCR-VQGAN: Taming Text-within-Image Generation
Authors: Rodriguez, Juan A and Vazquez, David and Laradji, Issam and Pedersoli, Marco and Rodriguez, Pau
Year: 2022
Published at WACV 2023
(36/85) Overcoming challenges in leveraging GANs for few-shot data augmentation
Authors: Beckham, Christopher and Laradji, Issam and Rodriguez, Pau and Vazquez, David and Nowrouzezahrai, Derek and Pal, Christopher
Year: 2022
Published at arXiv
(37/85) Stochastic polyak step-size for sgd: An adaptive learning rate for fast convergence
Authors: Loizou, Nicolas and Vaswani, Sharan and Laradji, Issam Hadj and Lacoste-Julien, Simon
Year: 2021
Published at Artificial Intelligence and Statistics (AISTATS)
(38/85) Learning data augmentation with online bilevel optimization for image classification
Authors: Mounsaveng, Saypraseuth and Laradji, Issam and Ben Ayed, Ismail and Vazquez, David and Pedersoli, Marco
Year: 2021
Published at Winter Conference on Applications of Computer Vision (WACV)
(39/85) A weakly supervised consistency-based learning method for covid-19 segmentation in ct images
Authors: Laradji, Issam and Rodriguez, Pau and Manas, Oscar and Lensink, Keegan and Law, Marco and Kurzman, Lironne and Parker, William and Vazquez, David and Nowrouzezahrai, Derek
Year: 2021
Published at Winter Conference on Applications of Computer Vision (WACV)
(40/85) Beyond trivial counterfactual explanations with diverse valuable explanations
Authors: Rodr{\'\i}guez, Pau and Caccia, Massimo and Lacoste, Alexandre and Zamparo, Lee and Laradji, Issam and Charlin, Laurent and Vazquez, David
Year: 2021
Published at International Conference on Computer Vision (ICCV)
(41/85) A deep learning localization method for measuring abdominal muscle dimensions in ultrasound images
Authors: Saleh, Alzayat and Laradji, Issam H and Lammie, Corey and Vazquez, David and Flavell, Carol A and Azghadi, Mostafa Rahimi
Year: 2021
Published at Journal of Biomedical and Health Informatics (JBHI)
(42/85) Method of and system for generating training images for instance segmentation machine learning algorithm
Authors: Laradji, Issam Hadj and BERMUDEZ, David VAZQUEZ
Year: 2021
Published at US Patent 11,151,417
(43/85) SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction
Authors: Laradji, Issam and Rodr{\'\i}guez, Pau and Vazquez, David and Nowrouzezahrai, Derek
Year: 2021
Published at International Conference on Computer Vision (ICCV) Workshop
(44/85) Weakly supervised underwater fish segmentation using affinity LCFCN
Authors: Laradji, Issam H and Saleh, Alzayat and Rodriguez, Pau and Nowrouzezahrai, Derek and Azghadi, Mostafa Rahimi and Vazquez, David
Year: 2021
Published at Nature Scientific Reports
(45/85) On Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants
Authors: D’Orazio, Ryan and Loizou, Nicolas and Laradji, Issam and Mitliagkas, Ioannis
Year: 2021
Published at International Conference of Machine Learning (ICML) Workshop
(46/85) Stochastic mirror descent: Convergence analysis and adaptive variants via the mirror stochastic polyak stepsize
Authors: D'Orazio, Ryan and Loizou, Nicolas and Laradji, Issam and Mitliagkas, Ioannis
Year: 2021
Published at arXiv
(47/85) M-ADDA: Unsupervised domain adaptation with deep metric learning
Authors: Laradji, Issam H and Babanezhad, Reza
Year: 2020
Published at Domain Adaptation for Visual Understanding (ICML Workshop)
(48/85) Fast and furious convergence: Stochastic second order methods under interpolation
Authors: Meng, Si Yi and Vaswani, Sharan and Laradji, Issam Hadj and Schmidt, Mark and Lacoste-Julien, Simon
Year: 2020
Published at Artificial Intelligence and Statistics (AISTATS)
(49/85) Counting objects in images based on approximate locations
Authors: Laradji, Issam Hadj and Rostamzadeh, Negar and PINHEIRO, Pedro Henrique OLIVEIRA and BERMUDEZ, David MARIA VAZQUEZ and SCHMIDT, Mark William
Year: 2020
Published at US Patent 10,853,943
(50/85) Embedding propagation: Smoother manifold for few-shot classification
Authors: Rodr{\'\i}guez, Pau and Laradji, Issam and Drouin, Alexandre and Lacoste, Alexandre
Year: 2020
Published at European Conference on Computer Vision (ECCV)
(51/85) Online fast adaptation and knowledge accumulation: a new approach to continual learning
Authors: Caccia, Massimo and Rodriguez, Pau and Ostapenko, Oleksiy and Normandin, Fabrice and Lin, Min and Caccia, Lucas and Laradji, Issam and Rish, Irina and Lacoste, Alexandre and Vazquez, David and others
Year: 2020
Published at Neural Information Processing System (NeurIPS)
(52/85) Where are the objects?: weakly supervised methods for counting, localization and segmentation
Authors: Laradji, Issam
Year: 2020
Published at arXiv
(53/85) Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search)
Authors: Vaswani, Sharan and Laradji, Issam and Kunstner, Frederik and Meng, Si Yi and Schmidt, Mark and Lacoste-Julien, Simon
Year: 2020
Published at arXiv
(54/85) Segmentation of pulmonary opacification in chest ct scans of covid-19 patients
Authors: Lensink, Keegan and Laradji, Issam and Law, Marco and Barbano, Paolo Emilio and Nicolaou, Savvas and Parker, William and Haber, Eldad
Year: 2020
Published at arXiv
(55/85) Looc: Localize overlapping objects with count supervision
Authors: Laradji, Issam H and Pardinas, Rafael and Rodriguez, Pau and Vazquez, David
Year: 2020
Published at International Conference on Image Processing (ICIP)
(56/85) A weakly supervised region-based active learning method for COVID-19 segmentation in CT images
Authors: Laradji, Issam and Rodriguez, Pau and Branchaud-Charron, Frederic and Lensink, Keegan and Atighehchian, Parmida and Parker, William and Vazquez, David and Nowrouzezahrai, Derek
Year: 2020
Published at arXiv
(57/85) A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis
Authors: Saleh, Alzayat and Laradji, Issam H and Konovalov, Dmitry A and Bradley, Michael and Vazquez, David and Sheaves, Marcus
Year: 2020
Published at Nature Scientific Reports
(58/85) Synbols: Probing learning algorithms with synthetic datasets
Authors: Lacoste, Alexandre and Rodr{\'\i}guez L{\'o}pez, Pau and Branchaud-Charron, Fr{\'e}d{\'e}ric and Atighehchian, Parmida and Caccia, Massimo and Laradji, Issam Hadj and Drouin, Alexandre and Craddock, Matthew and Charlin, Laurent and V{\'a}zquez, David
Year: 2020
Published at Neural Information Processing Systems (NeurIPS)
(59/85) Proposal-based instance segmentation with point supervision
Authors: Laradji, Issam H and Rostamzadeh, Negar and Pinheiro, Pedro O and Vazquez, David and Schmidt, Mark
Year: 2020
Published at International Conference on Image Processing (ICIP)
(60/85) Affinity lcfcn: Learning to segment fish with weak supervision
Authors: Laradji, Issam and Saleh, Alzayat and Rodriguez, Pau and Nowrouzezahrai, Derek and Azghadi, Mostafa Rahimi and Vazquez, David
Year: 2020
Published at arXiv
(61/85) Counting cows: Tracking illegal cattle ranching from high-resolution satellite imagery
Authors: Laradji, Issam and Rodriguez, Pau and Kalaitzis, Freddie and Vazquez, David and Young, Ross and Davey, Ed and Lacoste, Alexandre
Year: 2020
Published at arXiv
(62/85) Efficient deep Gaussian process models for variable-sized inputs
Authors: Laradji, Issam H and Schmidt, Mark and Pavlovic, Vladimir and Kim, Minyoung
Year: 2019
Published at International Joint Conference on Neural Networks (IJCNN)
(63/85) Painless stochastic gradient: Interpolation, line-search, and convergence rates
Authors: Vaswani, Sharan and Mishkin, Aaron and Laradji, Issam and Schmidt, Mark and Gidel, Gauthier and Lacoste-Julien, Simon
Year: 2019
Published at Neural Information Processing Systems (NeurIPS)
(64/85) Where are the masks: Instance segmentation with image-level supervision
Authors: Laradji, Issam H and Vazquez, David and Schmidt, Mark
Year: 2019
Published at British Machine Vision Conference (BMVC)
(65/85) Class-based styling: Real-time localized style transfer with semantic segmentation
Authors: Kurzman, Lironne and Vazquez, David and Laradji, Issam
Year: 2019
Published at International Conference on Computer Vision (ICCV) Workshop
(66/85) Where are the blobs: Counting by localization with point supervision
Authors: Laradji, Issam H and Rostamzadeh, Negar and Pinheiro, Pedro O and Vazquez, David and Schmidt, Mark
Year: 2018
Published at Proceedings of the European Conference on Computer Vision (ECCV)
(67/85) Masaga: a linearly-convergent stochastic first-order method for optimization on manifolds
Authors: Babanezhad, Reza and Laradji, Issam H and Shafaei, Alireza and Schmidt, Mark
Year: 2018
Published at Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD)
(68/85) Non-convex optimization
Authors: Laradji, Issam
Year: 2017
Published at arXiv
(69/85) Convergence rates for greedy Kaczmarz algorithms
Authors: Nutini, Julie and Sepehry, Behrooz and Virani, Alim and Laradji, Issam and Schmidt, Mark and Koepke, Hoyt
Year: 2016
Published at Uncertainty in Artificial Intelligence (UAI)
(70/85) Software defect prediction using ensemble learning on selected features
Authors: Laradji, Issam H and Alshayeb, Mohammad and Ghouti, Lahouari
Year: 2015
Published at Information and Software Technology (IST)
(71/85) Coordinate descent converges faster with the gauss-southwell rule than random selection
Authors: Nutini, Julie and Schmidt, Mark and Laradji, Issam and Friedlander, Michael and Koepke, Hoyt
Year: 2015
Published at International Conference on Machine Learning (ICML)
(72/85) Sparse Single-Hidden Layer Feedforward Network for Mapping Natural Language Questions to SQL Queries
Authors: Laradji, Issam H and Ghouti, Lahouari and Saleh, Faisal and AlTurki, Musab A
Year: 2014
Published at International Conference on Artificial Neural Networks (ICANN)
(73/85) XML classification using ensemble learning on extracted features
Authors: Laradji, Issam H and Salahadin, Mohammed and Ghouti, Lahouari
Year: 2014
Published at ACM Southeast Regional Conference
(74/85) Robust Feature Extraction Algorithm for Sarcasm Detection in Debates
Authors: Norton, Olivia and Laradji, Issam H
Year: 2014
Published at International Conference on Data Mining (ICDM)
(75/85) New Algorithms for Deep Learning Machines
Authors: Laradji, Issam Hadj
Year: 2014
Published at arXiv
(76/85) Software defect prediction using ensemble learning on selected
Authors: Laradji, Issam H and Alshayeb, Mohammad and Ghouti, Lahouari
Year: 2014
Published at arXiv
(77/85) Perceptual hashing of color images using hypercomplex representations
Authors: Laradji, Issam H and Ghouti, Lahouari and Khiari, El-Hebri
Year: 2013
Published at International Conference on Image Processing (ICIP)
(78/85) Graphical Newton for Huge-Block Coordinate Descent on Sparse Graphs
Authors: Laradji, Issam and Nutini, Julie and Schmidt, Mark
Year: Unknown Year
Published at ICML Workshop
(79/85) Supplementary Material Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
Authors: Rodr{\i}guez, Pau and Caccia, Massimo and Lacoste, Alexandre and Zamparo, Lee and Laradji, Issam and Charlin, Laurent and Vazquez, David
Year: Unknown Year
Published at arXiv
(80/85) Neural Point Light Fields Supplementary Material
Authors: Ost, Julian and Laradji, Issam and Newell, Alejandro and Bahat, Yuval and Heide, Felix
Year: Unknown Year
Published at arXiv
(81/85) Constraining Low-level Representations to Define Effective Confidence Scores
Authors: Monteiro, Joao and Rodriguez, Pau and Noel, Pierre-Andre and Laradji, Issam H and Vazquez, David
Year: Unknown Year
Published at NeurIPS ML Safety Workshop
(82/85) Countering Language Drift with KL Regularization
Authors: Noukhovitch, Michael and Lavoie, Samuel and Laradji, Issam H and Kiela, Douwe and Strub, Florian and Courville, Aaron
Year: Unknown Year
Published at arXiv
(83/85) Evaluating Counterfactual Explainers
Authors: Velazquez, Diego and Rodriguez, Pau and Lacoste, Alexandre and Laradji, Issam H and Roca, Xavier and Gonz{\`a}lez, Jordi
Year: Unknown Year
Published at arXiv
(84/85) Surrogate Minimization: An Optimization Algorithm for Training Large Neural Networks with Model Parallelism
Authors: Asad, Reza and Harikandeh, Reza Babanezhad and Laradji, Issam H and Le Roux, Nicolas and Vaswani, Sharan
Year: Unknown Year
Published at OPT 2023: Optimization for Machine Learning
(85/85) Plan-based Prompting Improves Literature Review Generation
Authors: Agarwal, Shubham and Laradji, Issam H and Charlin, Laurent and Pal, Christopher
Year: Unknown Year
Published at arXiv
(1/85) Method and system for meaningful counterfactual explanations
Authors: LOPEZ, Pau RODRIGUEZ and Caccia, Massimo and Zamparo, Lee and Laradji, Issam and Lacoste, Alexandre and BERMUDEZ, David VAZQUEZ
Year: 2024
Published at US Patent 11,961,287
(2/85) LitLLM: A Toolkit for Scientific Literature Review
Authors: Agarwal, Shubham and Laradji, Issam H and Charlin, Laurent and Pal, Christopher
Year: 2024
Published at arXiv
(3/85) IntentGPT: Few-Shot Intent Discovery with Large Language Models
Authors: Rodriguez, Juan A and Botzer, Nicholas and Vazquez, David and Pal, Christopher and Pedersoli, Marco and Laradji, Issam H
Year: 2024
Published at arXiv
(4/85) WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
Authors: Drouin, Alexandre and Gasse, Maxime and Caccia, Massimo and Laradji, Issam H and Del Verme, Manuel and Marty, Tom and Boisvert, L{\'e}o and Thakkar, Megh and Cappart, Quentin and Vazquez, David and others
Year: 2024
Published at ICML
(5/85) BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks
Authors: Ramesh, Amrutha Varshini and Ganapathiraman, Vignesh and Laradji, Issam H and Schmidt, Mark
Year: 2024
Published at arXiv
(6/85) InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
Authors: Sahu, Gaurav and Puri, Abhay and Rodriguez, Juan and Drouin, Alexandre and Taslakian, Perouz and Zantedeschi, Valentina and Lacoste, Alexandre and Vazquez, David and Chapados, Nicolas and Pal, Christopher and others
Year: 2024
Published at arXiv
(7/85) MixSumm: Topic-based Data Augmentation using LLMs for Low-resource Extractive Text Summarization
Authors: Sahu, Gaurav and Laradji, Issam H
Year: 2024
Published at arXiv
(8/85) Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments.
Authors: Gontier, Nicolas and Rodr{\'\i}guez, Pau and Laradji, Issam H and V{\'a}zquez, David and Pal, Christopher
Year: 2023
Published at CoRR
(9/85) Workflow discovery from dialogues in the low data regime
Authors: Laradji, Issam H and Raimondo, Stefania and Vazquez, David and Rodriguez, Pau and Pal, Christopher and others
Year: 2023
Published at Transactions on Machine Learning Research
(10/85) Method and system for localization with supervision
Authors: Laradji, Issam Hadj and BERMUDEZ, David VAZQUEZ and LOPEZ, Pau RODRIGUEZ and Pardinas, Rafael
Year: 2023
Published at US Patent App. 17/759,785
(11/85) Explaining Visual Counterfactual Explainers
Authors: Velazquez, Diego and Rodriguez, Pau and Lacoste, Alexandre and Laradji, Issam H and Roca, Xavier and Gonz{\`a}lez, Jordi
Year: 2023
Published at Transactions on Machine Learning Research
(12/85) FigGen: Text to Scientific Figure Generation
Authors: Rodriguez, Juan A and Vazquez, David and Laradji, Issam and Pedersoli, Marco and Rodriguez, Pau
Year: 2023
Published at ICLR TinyPapers
(13/85) Affinity Learning With Blind-Spot Self-Supervision for Image Denoising
Authors: Zhou, Yuhongze and Zhou, Liguang and Laradji, Issam Hadj and Lam, Tin Lun and Xu, Yangsheng
Year: 2023
Published at ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
(14/85) Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images
Authors: Mounsaveng, Saypraseuth and Laradji, Issam and V{\'a}zquez, David and Perdersoli, Marco and Ayed, Ismail Ben
Year: 2023
Published at arXiv
(15/85) TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification
Authors: Botzer, Nicholas and Vasquez, David and Weninger, Tim and Laradji, Issam
Year: 2023
Published at EMNLP Findings
(16/85) Promptmix: A class boundary augmentation method for large language model distillation
Authors: Sahu, Gaurav and Vechtomova, Olga and Bahdanau, Dzmitry and Laradji, Issam H
Year: 2023
Published at EMNLP
(17/85) The Unsolved Challenges of LLMs as Generalist Web Agents: A Case Study
Authors: Assouel, Rim and Marty, Tom and Caccia, Massimo and Laradji, Issam H and Drouin, Alexandre and Rajeswar, Sai and Palacios, Hector and Cappart, Quentin and Vazquez, David and Chapados, Nicolas and others
Year: 2023
Published at NeurIPS 2023 Foundation Models for Decision Making Workshop
(18/85) Capture the Flag: Uncovering Data Insights with Large Language Models
Authors: Laradji, Issam and Taslakian, Perouz and Rajeswar, Sai and Zantedeschi, Valentina and Lacoste, Alexandre and Chapados, Nicolas and Vazquez, David and Pal, Christopher and Drouin, Alexandre
Year: 2023
Published at NeurIPS FMDM
(19/85) Can AI Read the Minds of Corporate Executives?
Authors: Chapados, Nicolas and Fan, Zhenzhen and Goyenko, Ruslan and Laradji, Issam Hadj and Liu, Fred and Zhang, Chengyu
Year: 2023
Published at Available at SSRN
(20/85) Enchancing semi-supervised learning for extractive summarization with an llm-based pseudolabeler
Authors: Sahu, Gaurav and Vechtomova, Olga and Laradji, Issam H
Year: 2023
Published at arXiv
(21/85) LLM aided semi-supervision for Extractive Dialog Summarization
Authors: Mishra, Nishant and Sahu, Gaurav and Calixto, Iacer and Abu-Hanna, Ameen and Laradji, Issam H
Year: 2023
Published at EMNLP Findings
(22/85) Machine learning prediction of workflow steps
Authors: El Hattami, Amine and Pal, Christopher Joseph and Berm{\'u}dez, David Mar{\'\i}a V{\'a}zquez and Laradji, Issam Hadj and Raimondo, Stefania Evelina
Year: 2023
Published at US Patent App. 17/751,464
(23/85) Starvector: Generating scalable vector graphics code from images
Authors: Rodriguez, Juan A and Agarwal, Shubham and Laradji, Issam H and Rodriguez, Pau and Vazquez, David and Pal, Christopher and Pedersoli, Marco
Year: 2023
Published at arXiv
(24/85) Language Decision Transformers with Exponential Tilt for Interactive Text Environments
Authors: Gontier, Nicolas and Rodriguez, Pau and Laradji, Issam and Vazquez, David and Pal, Christopher
Year: 2023
Published at arXiv
(25/85) Cvpr 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions
Authors: Lomonaco, Vincenzo and Pellegrini, Lorenzo and Rodriguez, Pau and Caccia, Massimo and She, Qi and Chen, Yu and Jodelet, Quentin and Wang, Ruiping and Mai, Zheda and Vazquez, David and others
Year: 2022
Published at Artificial Intelligence (AI)
(26/85) A survey of self-supervised and few-shot object detection
Authors: Huang, Gabriel and Laradji, Issam and V{\'a}zquez, David and Lacoste-Julien, Simon and Rodriguez, Pau
Year: 2022
Published at Transactions on Pattern Analysis and Machine Intelligence (PAMI)
(27/85) Neural point light fields
Authors: Ost, Julian and Laradji, Issam and Newell, Alejandro and Bahat, Yuval and Heide, Felix
Year: 2022
Published at Conference on Computer Vision and Pattern Recognition (CVPR)
(28/85) Kubric: A scalable dataset generator
Authors: Greff, Klaus and Belletti, Francois and Beyer, Lucas and Doersch, Carl and Du, Yilun and Duckworth, Daniel and Fleet, David J and Gnanapragasam, Dan and Golemo, Florian and Herrmann, Charles and others
Year: 2022
Published at Computer Vision and Pattern Recognition (CVPR)
(29/85) A Soft Labeling Approach to Develop Automated Algorithms that Incorporate Uncertainty in Pulmonary Opacification on Chest CT using COVID-19 Pneumonia
Authors: Lensink, Keegan and Lo, Fu Jorden and Eddy, Rachel L and Law, Marco and Laradji, Issam and Haber, Eldad and Nicolaou, Savvas and Murphy, Darra and Parker, William A
Year: 2022
Published at Academic Radiology (AR)
(30/85) Challenges in leveraging GANs for few-shot data augmentation
Authors: Beckham, Christopher and Laradji, Issam and Rodriguez, Pau and Vazquez, David and Nowrouzezahrai, Derek and Pal, Christopher
Year: 2022
Published at CoLLAs 2022
(31/85) Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Authors: Sahu, Gaurav and Rodriguez, Pau and Laradji, Issam H and Atighehchian, Parmida and Vazquez, David and Bahdanau, Dzmitry
Year: 2022
Published at NLP4ConvAI 2022
(32/85) Workflow Discovery from Dialogues in the Low Data Regime
Authors: Hattami, Amine El and Laradji, Issam and Raimondo, Stefania and Vazquez, David and Rodriguez, Pau and Pal, Chris
Year: 2022
Published at TMLR
(33/85) Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence
Authors: Nutini, Julie and Laradji, Issam and Schmidt, Mark
Year: 2022
Published at Journal of Machine Learning Research (JMLR)
(34/85) Constraining Representations Yields Models That Know What They Don't Know
Authors: Monteiro, Joao and Rodriguez, Pau and Noel, Pierre-Andre and Laradji, Issam and Vazquez, David
Year: 2022
Published at ICLR 2023
(35/85) OCR-VQGAN: Taming Text-within-Image Generation
Authors: Rodriguez, Juan A and Vazquez, David and Laradji, Issam and Pedersoli, Marco and Rodriguez, Pau
Year: 2022
Published at WACV 2023
(36/85) Overcoming challenges in leveraging GANs for few-shot data augmentation
Authors: Beckham, Christopher and Laradji, Issam and Rodriguez, Pau and Vazquez, David and Nowrouzezahrai, Derek and Pal, Christopher
Year: 2022
Published at arXiv
(37/85) Stochastic polyak step-size for sgd: An adaptive learning rate for fast convergence
Authors: Loizou, Nicolas and Vaswani, Sharan and Laradji, Issam Hadj and Lacoste-Julien, Simon
Year: 2021
Published at Artificial Intelligence and Statistics (AISTATS)
(38/85) Learning data augmentation with online bilevel optimization for image classification
Authors: Mounsaveng, Saypraseuth and Laradji, Issam and Ben Ayed, Ismail and Vazquez, David and Pedersoli, Marco
Year: 2021
Published at Winter Conference on Applications of Computer Vision (WACV)
(39/85) A weakly supervised consistency-based learning method for covid-19 segmentation in ct images
Authors: Laradji, Issam and Rodriguez, Pau and Manas, Oscar and Lensink, Keegan and Law, Marco and Kurzman, Lironne and Parker, William and Vazquez, David and Nowrouzezahrai, Derek
Year: 2021
Published at Winter Conference on Applications of Computer Vision (WACV)
(40/85) Beyond trivial counterfactual explanations with diverse valuable explanations
Authors: Rodr{\'\i}guez, Pau and Caccia, Massimo and Lacoste, Alexandre and Zamparo, Lee and Laradji, Issam and Charlin, Laurent and Vazquez, David
Year: 2021
Published at International Conference on Computer Vision (ICCV)
(41/85) A deep learning localization method for measuring abdominal muscle dimensions in ultrasound images
Authors: Saleh, Alzayat and Laradji, Issam H and Lammie, Corey and Vazquez, David and Flavell, Carol A and Azghadi, Mostafa Rahimi
Year: 2021
Published at Journal of Biomedical and Health Informatics (JBHI)
(42/85) Method of and system for generating training images for instance segmentation machine learning algorithm
Authors: Laradji, Issam Hadj and BERMUDEZ, David VAZQUEZ
Year: 2021
Published at US Patent 11,151,417
(43/85) SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction
Authors: Laradji, Issam and Rodr{\'\i}guez, Pau and Vazquez, David and Nowrouzezahrai, Derek
Year: 2021
Published at International Conference on Computer Vision (ICCV) Workshop
(44/85) Weakly supervised underwater fish segmentation using affinity LCFCN
Authors: Laradji, Issam H and Saleh, Alzayat and Rodriguez, Pau and Nowrouzezahrai, Derek and Azghadi, Mostafa Rahimi and Vazquez, David
Year: 2021
Published at Nature Scientific Reports
(45/85) On Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants
Authors: D’Orazio, Ryan and Loizou, Nicolas and Laradji, Issam and Mitliagkas, Ioannis
Year: 2021
Published at International Conference of Machine Learning (ICML) Workshop
(46/85) Stochastic mirror descent: Convergence analysis and adaptive variants via the mirror stochastic polyak stepsize
Authors: D'Orazio, Ryan and Loizou, Nicolas and Laradji, Issam and Mitliagkas, Ioannis
Year: 2021
Published at arXiv
(47/85) M-ADDA: Unsupervised domain adaptation with deep metric learning
Authors: Laradji, Issam H and Babanezhad, Reza
Year: 2020
Published at Domain Adaptation for Visual Understanding (ICML Workshop)
(48/85) Fast and furious convergence: Stochastic second order methods under interpolation
Authors: Meng, Si Yi and Vaswani, Sharan and Laradji, Issam Hadj and Schmidt, Mark and Lacoste-Julien, Simon
Year: 2020
Published at Artificial Intelligence and Statistics (AISTATS)
(49/85) Counting objects in images based on approximate locations
Authors: Laradji, Issam Hadj and Rostamzadeh, Negar and PINHEIRO, Pedro Henrique OLIVEIRA and BERMUDEZ, David MARIA VAZQUEZ and SCHMIDT, Mark William
Year: 2020
Published at US Patent 10,853,943
(50/85) Embedding propagation: Smoother manifold for few-shot classification
Authors: Rodr{\'\i}guez, Pau and Laradji, Issam and Drouin, Alexandre and Lacoste, Alexandre
Year: 2020
Published at European Conference on Computer Vision (ECCV)
(51/85) Online fast adaptation and knowledge accumulation: a new approach to continual learning
Authors: Caccia, Massimo and Rodriguez, Pau and Ostapenko, Oleksiy and Normandin, Fabrice and Lin, Min and Caccia, Lucas and Laradji, Issam and Rish, Irina and Lacoste, Alexandre and Vazquez, David and others
Year: 2020
Published at Neural Information Processing System (NeurIPS)
(52/85) Where are the objects?: weakly supervised methods for counting, localization and segmentation
Authors: Laradji, Issam
Year: 2020
Published at arXiv
(53/85) Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search)
Authors: Vaswani, Sharan and Laradji, Issam and Kunstner, Frederik and Meng, Si Yi and Schmidt, Mark and Lacoste-Julien, Simon
Year: 2020
Published at arXiv
(54/85) Segmentation of pulmonary opacification in chest ct scans of covid-19 patients
Authors: Lensink, Keegan and Laradji, Issam and Law, Marco and Barbano, Paolo Emilio and Nicolaou, Savvas and Parker, William and Haber, Eldad
Year: 2020
Published at arXiv
(55/85) Looc: Localize overlapping objects with count supervision
Authors: Laradji, Issam H and Pardinas, Rafael and Rodriguez, Pau and Vazquez, David
Year: 2020
Published at International Conference on Image Processing (ICIP)
(56/85) A weakly supervised region-based active learning method for COVID-19 segmentation in CT images
Authors: Laradji, Issam and Rodriguez, Pau and Branchaud-Charron, Frederic and Lensink, Keegan and Atighehchian, Parmida and Parker, William and Vazquez, David and Nowrouzezahrai, Derek
Year: 2020
Published at arXiv
(57/85) A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis
Authors: Saleh, Alzayat and Laradji, Issam H and Konovalov, Dmitry A and Bradley, Michael and Vazquez, David and Sheaves, Marcus
Year: 2020
Published at Nature Scientific Reports
(58/85) Synbols: Probing learning algorithms with synthetic datasets
Authors: Lacoste, Alexandre and Rodr{\'\i}guez L{\'o}pez, Pau and Branchaud-Charron, Fr{\'e}d{\'e}ric and Atighehchian, Parmida and Caccia, Massimo and Laradji, Issam Hadj and Drouin, Alexandre and Craddock, Matthew and Charlin, Laurent and V{\'a}zquez, David
Year: 2020
Published at Neural Information Processing Systems (NeurIPS)
(59/85) Proposal-based instance segmentation with point supervision
Authors: Laradji, Issam H and Rostamzadeh, Negar and Pinheiro, Pedro O and Vazquez, David and Schmidt, Mark
Year: 2020
Published at International Conference on Image Processing (ICIP)
(60/85) Affinity lcfcn: Learning to segment fish with weak supervision
Authors: Laradji, Issam and Saleh, Alzayat and Rodriguez, Pau and Nowrouzezahrai, Derek and Azghadi, Mostafa Rahimi and Vazquez, David
Year: 2020
Published at arXiv
(61/85) Counting cows: Tracking illegal cattle ranching from high-resolution satellite imagery
Authors: Laradji, Issam and Rodriguez, Pau and Kalaitzis, Freddie and Vazquez, David and Young, Ross and Davey, Ed and Lacoste, Alexandre
Year: 2020
Published at arXiv
(62/85) Efficient deep Gaussian process models for variable-sized inputs
Authors: Laradji, Issam H and Schmidt, Mark and Pavlovic, Vladimir and Kim, Minyoung
Year: 2019
Published at International Joint Conference on Neural Networks (IJCNN)
(63/85) Painless stochastic gradient: Interpolation, line-search, and convergence rates
Authors: Vaswani, Sharan and Mishkin, Aaron and Laradji, Issam and Schmidt, Mark and Gidel, Gauthier and Lacoste-Julien, Simon
Year: 2019
Published at Neural Information Processing Systems (NeurIPS)
(64/85) Where are the masks: Instance segmentation with image-level supervision
Authors: Laradji, Issam H and Vazquez, David and Schmidt, Mark
Year: 2019
Published at British Machine Vision Conference (BMVC)
(65/85) Class-based styling: Real-time localized style transfer with semantic segmentation
Authors: Kurzman, Lironne and Vazquez, David and Laradji, Issam
Year: 2019
Published at International Conference on Computer Vision (ICCV) Workshop
(66/85) Where are the blobs: Counting by localization with point supervision
Authors: Laradji, Issam H and Rostamzadeh, Negar and Pinheiro, Pedro O and Vazquez, David and Schmidt, Mark
Year: 2018
Published at Proceedings of the European Conference on Computer Vision (ECCV)
(67/85) Masaga: a linearly-convergent stochastic first-order method for optimization on manifolds
Authors: Babanezhad, Reza and Laradji, Issam H and Shafaei, Alireza and Schmidt, Mark
Year: 2018
Published at Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD)
(68/85) Non-convex optimization
Authors: Laradji, Issam
Year: 2017
Published at arXiv
(69/85) Convergence rates for greedy Kaczmarz algorithms
Authors: Nutini, Julie and Sepehry, Behrooz and Virani, Alim and Laradji, Issam and Schmidt, Mark and Koepke, Hoyt
Year: 2016
Published at Uncertainty in Artificial Intelligence (UAI)
(70/85) Software defect prediction using ensemble learning on selected features
Authors: Laradji, Issam H and Alshayeb, Mohammad and Ghouti, Lahouari
Year: 2015
Published at Information and Software Technology (IST)
(71/85) Coordinate descent converges faster with the gauss-southwell rule than random selection
Authors: Nutini, Julie and Schmidt, Mark and Laradji, Issam and Friedlander, Michael and Koepke, Hoyt
Year: 2015
Published at International Conference on Machine Learning (ICML)
(72/85) Sparse Single-Hidden Layer Feedforward Network for Mapping Natural Language Questions to SQL Queries
Authors: Laradji, Issam H and Ghouti, Lahouari and Saleh, Faisal and AlTurki, Musab A
Year: 2014
Published at International Conference on Artificial Neural Networks (ICANN)
(73/85) XML classification using ensemble learning on extracted features
Authors: Laradji, Issam H and Salahadin, Mohammed and Ghouti, Lahouari
Year: 2014
Published at ACM Southeast Regional Conference
(74/85) Robust Feature Extraction Algorithm for Sarcasm Detection in Debates
Authors: Norton, Olivia and Laradji, Issam H
Year: 2014
Published at International Conference on Data Mining (ICDM)
(75/85) New Algorithms for Deep Learning Machines
Authors: Laradji, Issam Hadj
Year: 2014
Published at arXiv
(76/85) Software defect prediction using ensemble learning on selected
Authors: Laradji, Issam H and Alshayeb, Mohammad and Ghouti, Lahouari
Year: 2014
Published at arXiv
(77/85) Perceptual hashing of color images using hypercomplex representations
Authors: Laradji, Issam H and Ghouti, Lahouari and Khiari, El-Hebri
Year: 2013
Published at International Conference on Image Processing (ICIP)
(78/85) Graphical Newton for Huge-Block Coordinate Descent on Sparse Graphs
Authors: Laradji, Issam and Nutini, Julie and Schmidt, Mark
Year: Unknown Year
Published at ICML Workshop
(79/85) Supplementary Material Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
Authors: Rodr{\i}guez, Pau and Caccia, Massimo and Lacoste, Alexandre and Zamparo, Lee and Laradji, Issam and Charlin, Laurent and Vazquez, David
Year: Unknown Year
Published at arXiv
(80/85) Neural Point Light Fields Supplementary Material
Authors: Ost, Julian and Laradji, Issam and Newell, Alejandro and Bahat, Yuval and Heide, Felix
Year: Unknown Year
Published at arXiv
(81/85) Constraining Low-level Representations to Define Effective Confidence Scores
Authors: Monteiro, Joao and Rodriguez, Pau and Noel, Pierre-Andre and Laradji, Issam H and Vazquez, David
Year: Unknown Year
Published at NeurIPS ML Safety Workshop
(82/85) Countering Language Drift with KL Regularization
Authors: Noukhovitch, Michael and Lavoie, Samuel and Laradji, Issam H and Kiela, Douwe and Strub, Florian and Courville, Aaron
Year: Unknown Year
Published at arXiv
(83/85) Evaluating Counterfactual Explainers
Authors: Velazquez, Diego and Rodriguez, Pau and Lacoste, Alexandre and Laradji, Issam H and Roca, Xavier and Gonz{\`a}lez, Jordi
Year: Unknown Year
Published at arXiv
(84/85) Surrogate Minimization: An Optimization Algorithm for Training Large Neural Networks with Model Parallelism
Authors: Asad, Reza and Harikandeh, Reza Babanezhad and Laradji, Issam H and Le Roux, Nicolas and Vaswani, Sharan
Year: Unknown Year
Published at OPT 2023: Optimization for Machine Learning
(85/85) Plan-based Prompting Improves Literature Review Generation
Authors: Agarwal, Shubham and Laradji, Issam H and Charlin, Laurent and Pal, Christopher
Year: Unknown Year
Published at arXiv
Test Your Knowledge
1. What is the purpose of artificial intelligence?
About Me
Issam Laradji is a research scientist at ServiceNow Research, where he works on reducing the amount of labeling needed to train machine learning models. He did his postdoc at McGill’s Graphics Lab and earned his PhD from the University of British Columbia’s Machine Learning Lab. His interests include natural language processing, computer vision (2D and 3D), and optimization. Issam also runs the Vancouver AI Academy, a community focused on AI learning and development.