Loss Smoothing for Stable Adaptation Under Distribution Shift
,
Ekaterina Lobacheva,
Razvan Pascanu,
and Sarath Chandar
[paper]
Modular memory is the key to continual learning agents
Vaggelis Dorovatas,
Malte Schwerin,
Andrew D Bagdanov,
Lucas Caccia,
Antonio Carta,
Laurent Charlin,
Barbara Hammer,
Tyler L Hayes,
Timm Hess,
Christopher Kanan,
Dhireesha Kudithipudi,
Xialei Liu,
Vincenzo Lomonaco,
Jorge Mendez-Mendez,
,
Ameya Prabhu,
Elisa Ricci,
Tinne Tuytelaars,
Gido M van de Ven,
Liyuan Wang,
Joost van de Weijer,
Jonghyun Choi,
Martin Mundt,
and Rahaf Aljundi
International Conference on Machine Learning (ICML, Spotlight), 2026.
[paper]
CoPeP: Benchmarking Continual Pretraining for Protein Language Models
,
Pranshu Malviya,
Mathieu Reymond,
Quentin Fournier,
and Sarath Chandar
[paper],
[dataset],
[code]
Operationalising the Superficial Alignment Hypothesis via Task Complexity
Tomàs Vergara-Browne,
,
Ivan Titov,
Siva Reddy,
Tiago Pimentel,
and Marius Mosbach
International Conference on Machine Learning (ICML) 2026, 2026.
[paper]
Experimental Design for Nonstationary Optimization
,
Pranshu Malviya,
Maryam Hashemzadeh,
and Sarath Chandar
[paper]
Interpolate: How Resetting Active Neurons can also improve Generalizability in Online Learning
Pranshu Malviya,
,
Maryam Hashemzadeh,
Quentin Fournier,
and Sarath Chandar
[paper]
Toward Debugging Deep Reinforcement Learning Programs with RLExplorer
Rached Bouchoucha,
Ahmed Haj Yahmed,
,
Janarthanan Rajendran,
Amin Nikanjam,
Sarath Chandar,
and Foutse Khomh
International Conference on Software Maintenance and Evolution (ICSME), 2024.
[paper]
Exploring the Plasticity of Neural Network for NLP Tasks in Continual Learning
Maryam Hashemzadeh,
Pranshu Malviya*,
,
and Sarath Chandar
Conference on Lifelong Learning Agents (CoLLAs) Workshop Track, 2024.
Intelligent Switching for Reset-Free RL
,
Janarthanan Rajendran,
Glen Berseth,
and Sarath Chandar
International Conference on Learning Representations (ICLR), 2024.
[paper],
[code]
An Empirical Investigation of the Role of Pre-training in Lifelong Learning
Sanket Vaibhav Mehta,
,
Sarath Chandar,
and Emma Strubell
Journal of Machine Learning Research, 2023.
Theory of Continual Learning Workshop, ICML, 2021
(Spotlight)
[paper],
[code]
Disentangling 3D Prototypical Networks for Few-Shot Concept Learning
Mihir Prabhudesai*,
Shamit Lal*,
,
Hsiao-Yu Tung,
Adam W Harley,
and Katerina Fragkiadaki
International Conference on Learning Representations 2021, 2021.
Object Representations for Learning and Reasoning Workshop. Neurips, 2020
(Spotlight)
[paper],
[code],
[project page]