Issam H. Laradji

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 75

Top Topics

Gaussian Process Models

Extractive Summarization

Top Venues

Trans. Mach. Learn. Res.

Publications

Gaurav Sahu, Issam H. Laradji
MixSumm: Topic-based Data Augmentation using LLMs for Low-resource Extractive Text Summarization. CoRR (2024)
Amrutha Varshini Ramesh, Vignesh Ganapathiraman, Issam H. Laradji, Mark Schmidt
BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks. CoRR (2024)
Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, Léo Boisvert, Megh Thakkar, Quentin Cappart, David Vázquez, Nicolas Chapados, Alexandre Lacoste
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? CoRR (2024)
Shubham Agarwal, Issam H. Laradji, Laurent Charlin, Christopher Pal
LitLLM: A Toolkit for Scientific Literature Review. CoRR (2024)
João Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez
Constraining Representations Yields Models That Know What They Don't Know. ICLR (2023)
Nishant Mishra, Gaurav Sahu, Iacer Calixto, Ameen Abu-Hanna, Issam H. Laradji
LLM aided semi-supervision for efficient Extractive Dialog Summarization. EMNLP (Findings) (2023)
Gaurav Sahu, Olga Vechtomova, Issam H. Laradji
Enchancing Semi-Supervised Learning for Extractive Summarization with an LLM-based pseudolabeler. CoRR (2023)
Ryan D'Orazio, Nicolas Loizou, Issam H. Laradji, Ioannis Mitliagkas
Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize. Trans. Mach. Learn. Res. 2023 (2023)
Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
OCR-VQGAN: Taming Text-within-Image Generation. WACV (2023)
Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
FigGen: Text to Scientific Figure Generation. CoRR (2023)
Nicolas Gontier, Pau Rodríguez, Issam H. Laradji, David Vázquez, Christopher Pal
Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments. CoRR (2023)
Diego A. Velázquez, Pau Rodríguez, Alexandre Lacoste, Issam H. Laradji, F. Xavier Roca, Jordi Gonzàlez
Explaining Visual Counterfactual Explainers. Trans. Mach. Learn. Res. 2023 (2023)
Saypraseuth Mounsaveng, Issam H. Laradji, David Vázquez, Marco Pedersoli, Ismail Ben Ayed
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images. CoRR (2023)
Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam H. Laradji
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation. EMNLP (2023)
Nishant Mishra, Gaurav Sahu, Iacer Calixto, Ameen Abu-Hanna, Issam H. Laradji
LLM aided semi-supervision for Extractive Dialog Summarization. CoRR (2023)
Gabriel Huang, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez
A Survey of Self-Supervised and Few-Shot Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Amine El Hattami, Issam H. Laradji, Stefania Raimondo, David Vázquez, Pau Rodríguez, Christopher Pal
Workflow Discovery from Dialogues in the Low Data Regime. Trans. Mach. Learn. Res. 2023 (2023)
Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam H. Laradji
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation. CoRR (2023)
Issam H. Laradji, Perouz Taslakian, Sai Rajeswar, Valentina Zantedeschi, Alexandre Lacoste, Nicolas Chapados, David Vázquez, Christopher Pal, Alexandre Drouin
Capture the Flag: Uncovering Data Insights with Large Language Models. CoRR (2023)
Juan A. Rodriguez, Shubham Agarwal, Issam H. Laradji, Pau Rodríguez, David Vázquez, Christopher Pal, Marco Pedersoli
StarVector: Generating Scalable Vector Graphics Code from Images. CoRR (2023)
Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
FigGen: Text to Scientific Figure Generation. Tiny Papers @ ICLR (2023)
Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. Artif. Intell. 303 (2022)
Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher Pal
Overcoming challenges in leveraging GANs for few-shot data augmentation. CoLLAs (2022)
Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
OCR-VQGAN: Taming Text-within-Image Generation. CoRR (2022)
Joao Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez
Constraining Representations Yields Models That Know What They Don't Know. CoRR (2022)
Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi
Kubric: A scalable dataset generator. CVPR (2022)
Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher J. Pal
Challenges in leveraging GANs for few-shot data augmentation. CoRR (2022)
Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. ConvAI@ACL (2022)
Julie Nutini, Issam H. Laradji, Mark Schmidt
Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence. J. Mach. Learn. Res. 23 (2022)
Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi
Kubric: A scalable dataset generator. CoRR (2022)
Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. CoRR (2022)
Amine El Hattami, Stefania Raimondo, Issam H. Laradji, David Vázquez, Pau Rodríguez, Chris Pal
Workflow Discovery from Dialogues in the Low Data Regime. CoRR (2022)
Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction. ICCVW (2021)
Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli
Learning Data Augmentation with Online Bilevel Optimization for Image Classification. WACV (2021)
Ryan D'Orazio, Nicolas Loizou, Issam H. Laradji, Ioannis Mitliagkas
Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize. CoRR (2021)
Pau Rodríguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vázquez
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. CoRR (2021)
Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vázquez, Carol A. Flavell, Mostafa Rahimi Azghadi
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images. CoRR (2021)
Pau Rodríguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vázquez
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. ICCV (2021)
Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vázquez, Carol A. Flavell, Mostafa Rahimi Azghadi
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images. IEEE J. Biomed. Health Informatics 25 (10) (2021)
Gabriel Huang, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez
A Survey of Self-Supervised and Few-Shot Object Detection. CoRR (2021)
Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction. CoRR (2021)
Issam H. Laradji, Pau Rodríguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vázquez, Derek Nowrouzezahrai
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. WACV (2021)
Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning. CoRR (2020)
Issam H. Laradji, Pau Rodríguez, Freddie Kalaitzis, David Vázquez, Ross Young, Ed Davey, Alexandre Lacoste
Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery. CoRR (2020)
Pau Rodríguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste
Embedding Propagation: Smoother Manifold for Few-Shot Classification. CoRR (2020)
Issam H. Laradji, Rafael Pardinas, Pau Rodríguez, David Vázquez
LOOC: Localize Overlapping Objects with Count Supervision. CoRR (2020)
Alexandre Lacoste, Pau Rodríguez, Frédéric Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez
Synbols: Probing Learning Algorithms with Synthetic Datasets. CoRR (2020)
Issam H. Laradji, Alzayat Saleh, Pau Rodríguez, Derek Nowrouzezahrai, Mostafa Rahimi Azghadi, David Vázquez
Affinity LCFCN: Learning to Segment Fish with Weak Supervision. CoRR (2020)
Issam H. Laradji, Pau Rodríguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vázquez, Derek Nowrouzezahrai
A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images. CoRR (2020)
Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
Proposal-Based Instance Segmentation With Point Supervision. ICIP (2020)
Nicolas Loizou, Sharan Vaswani, Issam H. Laradji, Simon Lacoste-Julien
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence. CoRR (2020)
Sharan Vaswani, Frederik Kunstner, Issam H. Laradji, Si Yi Meng, Mark Schmidt, Simon Lacoste-Julien
Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search). CoRR (2020)
Issam H. Laradji, Pau Rodríguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vázquez, Derek Nowrouzezahrai
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. CoRR (2020)
Pau Rodríguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste
Embedding Propagation: Smoother Manifold for Few-Shot Classification. ECCV (26) (2020)
Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions. CoRR (2020)
Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli
Learning Data Augmentation with Online Bilevel Optimization for Image Classification. CoRR (2020)
Issam H. Laradji, Rafael Pardinas, Pau Rodríguez, David Vázquez
Looc: Localize Overlapping Objects with Count Supervision. ICIP (2020)
Alzayat Saleh, Issam H. Laradji, Dmitry A. Konovalov, Michael Bradley, David Vázquez, Marcus Sheaves
A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis. CoRR (2020)
Keegan Lensink, Issam H. Laradji, Marco Law, Paolo Emilio Barbano, Savvas Nicolaou, William Parker, Eldad Haber
Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients. CoRR (2020)
Lironne Kurzman, David Vázquez, Issam H. Laradji
Class-Based Styling: Real-Time Localized Style Transfer with Semantic Segmentation. ICCV Workshops (2019)
Sharan Vaswani, Aaron Mishkin, Issam H. Laradji, Mark Schmidt, Gauthier Gidel, Simon Lacoste-Julien
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates. NeurIPS (2019)
Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
Instance Segmentation with Point Supervision. CoRR (2019)
Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic, Minyoung Kim
Efficient Deep Gaussian Process Models for Variable-Sized Input. CoRR (2019)
Sharan Vaswani, Aaron Mishkin, Issam H. Laradji, Mark Schmidt, Gauthier Gidel, Simon Lacoste-Julien
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates. CoRR (2019)
Issam H. Laradji, David Vázquez, Mark Schmidt
Where are the Masks: Instance Segmentation with Image-level Supervision. BMVC (2019)
Issam H. Laradji, David Vázquez, Mark Schmidt
Where are the Masks: Instance Segmentation with Image-level Supervision. CoRR (2019)
Lironne Kurzman, David Vázquez, Issam H. Laradji
Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation. CoRR (2019)
Si Yi Meng, Sharan Vaswani, Issam H. Laradji, Mark Schmidt, Simon Lacoste-Julien
Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation. CoRR (2019)
Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic, Minyoung Kim
Efficient Deep Gaussian Process Models for Variable-Sized Inputs. IJCNN (2019)
Issam H. Laradji, Reza Babanezhad
M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning. CoRR (2018)
Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
Where are the Blobs: Counting by Localization with Point Supervision. CoRR (2018)
Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
Where Are the Blobs: Counting by Localization with Point Supervision. ECCV (2) (2018)
Reza Babanezhad, Issam H. Laradji, Alireza Shafaei, Mark Schmidt
MASAGA: A Linearly-Convergent Stochastic First-Order Method for Optimization on Manifolds. ECML/PKDD (2) (2018)
Julie Nutini, Behrooz Sepehry, Issam H. Laradji, Mark Schmidt, Hoyt A. Koepke, Alim Virani
Convergence Rates for Greedy Kaczmarz Algorithms, and Faster Randomized Kaczmarz Rules Using the Orthogonality Graph. CoRR (2016)
Julie Nutini, Behrooz Sepehry, Issam H. Laradji, Mark Schmidt, Hoyt A. Koepke, Alim Virani
Convergence Rates for Greedy Kaczmarz Algorithms, and Randomized Kaczmarz Rules Using the Orthogonality Graph. UAI (2016)
Julie Nutini, Mark Schmidt, Issam H. Laradji, Michael P. Friedlander, Hoyt A. Koepke
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection. ICML (2015)
Issam H. Laradji, Mohammad Alshayeb, Lahouari Ghouti
Software defect prediction using ensemble learning on selected features. Inf. Softw. Technol. 58 (2015)
Julie Nutini, Mark Schmidt, Issam H. Laradji, Michael P. Friedlander, Hoyt A. Koepke
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection. CoRR (2015)
Issam H. Laradji, Salahadin Mohammed, Lahouari Ghouti
XML classification using ensemble learning on extracted features. ACM Southeast Regional Conference (2014)
Issam H. Laradji, Lahouari Ghouti, Faisal Saleh, Musab A. AlTurki
Sparse Single-Hidden Layer Feedforward Network for Mapping Natural Language Questions to SQL Queries. ICANN (2014)
Issam H. Laradji, Lahouari Ghouti, El-Hebri Khiari
Perceptual hashing of color images using hypercomplex representations. ICIP (2013)