- Phung Lai, Han Hu, Hai Phan, Ruoming Jin, My T. Thai, An M. Chen:
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning. CoLLAs 2022: 778-797 - Jonathan Wilder Lavington, Sharan Vaswani, Mark Schmidt:
Improved Policy Optimization for Online Imitation Learning. CoLLAs 2022: 1146-1173 - Tosca Lechner, Shai Ben-David:
Inherent Limitations of Multi-Task Fair Representations. CoLLAs 2022: 583-603 - Shuang Li, Yilun Du, Gido van de Ven, Igor Mordatch:
Energy-Based Models for Continual Learning. CoLLAs 2022: 1-22 - Bo Liu, Qiang Liu, Peter Stone:
Continual Learning and Private Unlearning. CoLLAs 2022: 243-254 - Ekdeep Singh Lubana, Puja Trivedi, Danai Koutra, Robert P. Dick:
How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation. CoLLAs 2022: 819-837 - Jelena Luketina, Sebastian Flennerhag, Yannick Schroecker, David Abel, Tom Zahavy, Satinder Singh:
Meta-Gradients in Non-Stationary Environments. CoLLAs 2022: 886-901 - Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui:
EFL: Elastic Federated Learning on Non-IID Data. CoLLAs 2022: 92-115 - Pranshu Malviya, Balaraman Ravindran, Sarath Chandar:
TAG: Task-based Accumulated Gradients for Lifelong learning. CoLLAs 2022: 366-389 - Simone Marullo, Matteo Tiezzi, Alessandro Betti, Lapo Faggi, Enrico Meloni, Stefano Melacci:
Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks. CoLLAs 2022: 183-200 - Michael T. Matthews, Mikayel Samvelyan, Jack Parker-Holder, Edward Grefenstette, Tim Rocktäschel:
Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning. CoLLAs 2022: 856-874 - Jorge A. Mendez, Marcel Hussing, Meghna Gummadi, Eric Eaton:
CompoSuite: A Compositional Reinforcement Learning Benchmark. CoLLAs 2022: 982-1003 - Luke Metz, C. Daniel Freeman, James Harrison, Niru Maheswaranathan, Jascha Sohl-Dickstein:
Practical Tradeoffs between Memory, Compute, and Performance in Learned Optimizers. CoLLAs 2022: 142-164 - Sri Aurobindo Munagala, Sidhant Subramanian, Shyamgopal Karthik, Ameya Prabhu, Anoop M. Namboodiri:
CLActive: Episodic Memories for Rapid Active Learning. CoLLAs 2022: 430-440 - Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin:
Continual Learning with Foundation Models: An Empirical Study of Latent Replay. CoLLAs 2022: 60-91 - Thijs Lambik Van der Plas
, Sanjay G. Manohar, Tim P. Vogels:
Predictive Learning Enables Neural Networks to Learn Complex Working Memory Tasks. CoLLAs 2022: 518-531 - Sam Powers, Eliot Xing, Abhinav Gupta:
Self-Activating Neural Ensembles for Continual Reinforcement Learning. CoLLAs 2022: 683-704 - Sam Powers, Eliot Xing, Eric Kolve, Roozbeh Mottaghi, Abhinav Gupta:
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents. CoLLAs 2022: 705-743 - Diana Benavides Prado, Patricia Riddle:
A Theory for Knowledge Transfer in Continual Learning. CoLLAs 2022: 647-660 - Mohammad Saidur Rahman, Scott E. Coull, Matthew Wright:
On the Limitations of Continual Learning for Malware Classification. CoLLAs 2022: 564-582 - Vijaya Raghavan T. Ramkumar, Elahe Arani, Bahram Zonooz:
Differencing based Self-supervised pretraining for Scene Change Detection. CoLLAs 2022: 952-965 - Mohammad Rostami:
Increasing Model Generalizability for Unsupervised Visual Domain Adaptation. CoLLAs 2022: 281-293 - Andrei Alex Rusu, Sebastian Flennerhag, Dushyant Rao, Razvan Pascanu, Raia Hadsell:
Probing Transfer in Deep Reinforcement Learning without Task Engineering. CoLLAs 2022: 1231-1254 - Sasha Salter, Markus Wulfmeier, Dhruva Tirumala, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell, Dushyant Rao:
MO2: Model-Based Offline Options. CoLLAs 2022: 902-919 - Fahad Sarfraz, Elahe Arani, Bahram Zonooz:
SYNERgy between SYNaptic Consolidation and Experience Replay for General Continual Learning. CoLLAs 2022: 920-936 - Rylan Schaeffer, Gabrielle Kaili-May Liu, Yilun Du, Scott Linderman, Ila Rani Fiete:
Streaming Inference for Infinite Non-Stationary Clustering. CoLLAs 2022: 310-326 - Kajetan Schweighofer, Marius-Constantin Dinu, Andreas Radler, Markus Hofmarcher, Vihang Prakash Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter:
A Dataset Perspective on Offline Reinforcement Learning. CoLLAs 2022: 470-517 - Shahaf S. Shperberg, Bo Liu, Alessandro Allievi, Peter Stone:
A Rule-based Shield: Accumulating Safety Rules from Catastrophic Action Effects. CoLLAs 2022: 231-242 - Matthew J. A. Smith, Jelena Luketina, Kristian Hartikainen, Maximilian Igl, Shimon Whiteson:
Learning Skills Diverse in Value-Relevant Features. CoLLAs 2022: 1174-1194 - Christian Alexander Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang Prakash Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter:
Reactive Exploration to Cope With Non-Stationarity in Lifelong Reinforcement Learning. CoLLAs 2022: 441-469
