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Author search results
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- Issam H. Laradji
aka: Issam Hadj Laradji
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Publication search results
found 91 matches
- 2024
- Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, David Vázquez, Nicolas Chapados, Alexandre Lacoste:
WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks? ICML 2024 - Shubham Agarwal, Issam H. Laradji, Laurent Charlin, Christopher Pal:
LitLLM: A Toolkit for Scientific Literature Review. CoRR abs/2402.01788 (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 abs/2403.07718 (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 abs/2406.17296 (2024) - Gaurav Sahu, Abhay Puri, Juan A. Rodriguez, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vázquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam Hadj Laradji:
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. CoRR abs/2407.06423 (2024) - Gaurav Sahu, Issam H. Laradji:
MixSumm: Topic-based Data Augmentation using LLMs for Low-resource Extractive Text Summarization. CoRR abs/2407.07341 (2024) - 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): 4071-4089 (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) - 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) - 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) - Nishant Mishra, Gaurav Sahu, Iacer Calixto, Ameen Abu-Hanna, Issam H. Laradji:
LLM aided semi-supervision for efficient Extractive Dialog Summarization. EMNLP (Findings) 2023: 10002-10009 - Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam H. Laradji:
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation. EMNLP 2023: 5316-5327 - Yuhongze Zhou, Liguang Zhou, Issam Hadj Laradji, Tin Lun Lam, Yangsheng Xu:
Affinity Learning With Blind-Spot Self-Supervision for Image Denoising. ICASSP 2023: 1-5 - 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 - Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez:
FigGen: Text to Scientific Figure Generation. Tiny Papers @ ICLR 2023 - Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez:
OCR-VQGAN: Taming Text-within-Image Generation. WACV 2023: 3678-3687 - Nicolas Gontier, Pau Rodríguez, Issam H. Laradji, David Vázquez, Christopher Pal:
Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments. CoRR abs/2302.05507 (2023) - Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez:
FigGen: Text to Scientific Figure Generation. CoRR abs/2306.00800 (2023) - Saypraseuth Mounsaveng, Issam H. Laradji, David Vázquez, Marco Pedersoli, Ismail Ben Ayed:
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images. CoRR abs/2307.11808 (2023) - Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam H. Laradji:
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation. CoRR abs/2310.14192 (2023) - Gaurav Sahu, Olga Vechtomova, Issam H. Laradji:
Enchancing Semi-Supervised Learning for Extractive Summarization with an LLM-based pseudolabeler. CoRR abs/2311.09559 (2023) - Nishant Mishra, Gaurav Sahu, Iacer Calixto, Ameen Abu-Hanna, Issam H. Laradji:
LLM aided semi-supervision for Extractive Dialog Summarization. CoRR abs/2311.11462 (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 abs/2312.11556 (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 abs/2312.13876 (2023) - 2022
- 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: 103635 (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: 131:1-131:74 (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: 47-57 - Sai Rajeswar, Issam Hadj Laradji, Pau Rodríguez, David Vázquez, Aaron C. Courville:
Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation. BMVC 2022: 644 - Yuhongze Zhou, Issam Hadj Laradji, Liguang Zhou, Derek Nowrouzezahrai:
OSM: An Open Set Matting Framework with OOD Detection and Few-Shot Learning. BMVC 2022: 92 - 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: 255-280
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