Issam Hadj Laradji

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Adaptive Learning Rate

Semantic Segmentation

Synthetic Datasets

Top Venues

Publications

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 (2024)
Yuhongze Zhou, Liguang Zhou, Issam Hadj Laradji, Tin Lun Lam, Yangsheng Xu
Affinity Learning With Blind-Spot Self-Supervision for Image Denoising. ICASSP (2023)
Yuhongze Zhou, Issam Hadj Laradji, Liguang Zhou, Derek Nowrouzezahrai
OSM: An Open Set Matting Framework with OOD Detection and Few-Shot Learning. BMVC (2022)
Sai Rajeswar, Issam Hadj Laradji, Pau Rodríguez, David Vázquez, Aaron C. Courville
Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation. BMVC (2022)
Nicolas Loizou, Sharan Vaswani, Issam Hadj Laradji, Simon Lacoste-Julien
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence. AISTATS (2021)
Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Page-Caccia, Issam Hadj Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning. NeurIPS (2020)
Si Yi Meng, Sharan Vaswani, Issam Hadj Laradji, Mark Schmidt, Simon Lacoste-Julien
Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation. AISTATS (2020)
Alexandre Lacoste, Pau Rodríguez López, Frederic Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Hadj Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez
Synbols: Probing Learning Algorithms with Synthetic Datasets. NeurIPS (2020)