Energy-Based Models for Continual Learning

Shuang Li, Yilun Du, Gido van de Ven, Igor Mordatch; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:1-22

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How Does the Task Landscape Affect MAML Performance?

Liam Collins, Aryan Mokhtari, Sanjay Shakkottai; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:23-59

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Continual Learning with Foundation Models: An Empirical Study of Latent Replay

Oleksiy Ostapenko, Timothee Lesort, Pau Rodriguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:60-91

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EFL: Elastic Federated Learning on Non-IID Data

Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:92-115

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Disentanglement and Generalization Under Correlation Shifts

Christina M. Funke, Paul Vicol, Kuan-chieh Wang, Matthias Kuemmerer, Richard Zemel, Matthias Bethge; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:116-141

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Practical Tradeoffs between Memory, Compute, and Performance in Learned Optimizers

Luke Metz, C. Daniel Freeman, James Harrison, Niru Maheswaranathan, Jascha Sohl-dickstein; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:142-164

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On Anytime Learning at Macroscale

Lucas Caccia, Jing Xu, Myle Ott, Marcaurelio Ranzato, Ludovic Denoyer; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:165-182

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Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks

Simone Marullo, Matteo Tiezzi, Alessandro Betti, Lapo Faggi, Enrico Meloni, Stefano Melacci; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:183-200

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Continual Learning through Hamilton Equations

Alessandro Betti, Lapo Faggi, Marco Gori, Matteo Tiezzi, Simone Marullo, Enrico Meloni, Stefano Melacci; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:201-212

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Improving Meta-Learning Generalization with Activation-Based Early-Stopping

Simon Guiroy, Christopher Pal, Goncalo Mordido, Sarath Chandar; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:213-230

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A Rule-based Shield: Accumulating Safety Rules from Catastrophic Action Effects

Shahaf S. Shperberg, Bo Liu, Alessandro Allievi, Peter Stone; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:231-242

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Continual Learning and Private Unlearning

Bo Liu, Qiang Liu, Peter Stone; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:243-254

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Overcoming challenges in leveraging GANs for few-shot data augmentation

Christopher Beckham, Issam H. Laradji, Pau Rodriguez, David Vazquez, Derek Nowrouzezahrai, Christopher Pal; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:255-280

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Increasing Model Generalizability for Unsupervised Visual Domain Adaptation

Mohammad Rostami; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:281-293

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Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data

Wenxuan Zhou, Steven Bohez, Jan Humplik, Nicolas Heess, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:294-309

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Streaming Inference for Infinite Non-Stationary Clustering

Rylan Schaeffer, Gabrielle Kaili-may Liu, Yilun Du, Scott Linderman, Ila R. Fiete; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:310-326

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Inexperienced RL Agents Can’t Get It Right: Lower Bounds on Regret at Finite Sample Complexity

Maia Fraser, Vincent Létourneau; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:327-334

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Continual Learning of Dynamical Systems With Competitive Federated Reservoir Computing

Leonard Bereska, Efstratios Gavves; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:335-350

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Learning Object-Centered Autotelic Behaviors with Graph Neural Networks

Ahmed Akakzia, Olivier Sigaud; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:351-365

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TAG: Task-based Accumulated Gradients for Lifelong learning

Pranshu Malviya, Balaraman Ravindran, Sarath Chandar; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:366-389

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Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach

Prashant Shivaram Bhat, Bahram Zonooz, Elahe Arani; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:390-405

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Zipfian Environments for Reinforcement Learning

Stephanie C.Y. Chan, Andrew Kyle Lampinen, Pierre Harvey Richemond, Felix Hill; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:406-429

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CLActive: Episodic Memories for Rapid Active Learning

Sri Aurobindo Munagala, Sidhant Subramanian, Shyamgopal Karthik, Ameya Prabhu, Anoop Namboodiri; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:430-440

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Reactive Exploration to Cope With Non-Stationarity in Lifelong Reinforcement Learning

Christian Alexander Steinparz, Thomas Schmied, Fabian Paischer, Marius-constantin Dinu, Vihang Prakash Patil, Angela Bitto-nemling, Hamid Eghbal-zadeh, Sepp Hochreiter; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:441-469

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A Dataset Perspective on Offline Reinforcement Learning

Kajetan Schweighofer, Marius-constantin Dinu, Andreas Radler, Markus Hofmarcher, Vihang Prakash Patil, Angela Bitto-nemling, Hamid Eghbal-zadeh, Sepp Hochreiter; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:470-517

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Predictive Learning Enables Neural Networks to Learn Complex Working Memory Tasks

Thijs Lambik Van der Plas, Sanjay G. Manohar, Tim P. Vogels; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:518-531

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Benchmarking Learning Efficiency in Deep Reservoir Computing

Hugo Cisneros, Tomas Mikolov, Josef Sivic; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:532-547

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A Multi-Head Model for Continual Learning via Out-of-Distribution Replay

Gyuhak Kim, Bing Liu, Zixuan Ke; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:548-563

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On the Limitations of Continual Learning for Malware Classification

Mohammad Saidur Rahman, Scott Coull, Matthew Wright; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:564-582

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Inherent Limitations of Multi-Task Fair Representations

Tosca Lechner, Shai Ben-David; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:583-603

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What Should I Know? Using Meta-Gradient Descent for Predictive Feature Discovery in a Single Stream of Experience

Alex Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:604-616

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Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations

Ali Abbasi, Parsa Nooralinejad, Vladimir Braverman, Hamed Pirsiavash, Soheil Kolouri; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:617-628

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Test Sample Accuracy Scales with Training Sample Density in Neural Networks

Xu Ji, Razvan Pascanu, R. Devon Hjelm, Balaji Lakshminarayanan, Andrea Vedaldi; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:629-646

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A Theory for Knowledge Transfer in Continual Learning

Diana Benavides-Prado, Patricia Riddle; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:647-660

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Simulation-Acquired Latent Action Spaces for Dynamics Generalization

Nicholas Corrado, Yuxiao Qu, Josiah P. Hanna; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:661-682

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Self-Activating Neural Ensembles for Continual Reinforcement Learning

Sam Powers, Eliot Xing, Abhinav Gupta; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:683-704

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CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents

Sam Powers, Eliot Xing, Eric Kolve, Roozbeh Mottaghi, Abhinav Gupta; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:705-743

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Online Continual Learning for Embedded Devices

Tyler L. Hayes, Christopher Kanan; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:744-766

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Heat-RL: Online Model Selection for Streaming Time-Series Anomaly Detection

Yujing Wang, Luoxin Xiong, Mingliang Zhang, Hui Xue, Qi Chen, Yaming Yang, Yunhai Tong, Congrui Huang, Bixiong Xu; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:767-777

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Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning

Phung Lai, Han Hu, Hai Phan, Ruoming Jin, My Thai, An Chen; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:778-797

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Neural Distillation as a State Representation Bottleneck in Reinforcement Learning

Valentin Guillet, Dennis George Wilson, Emmanuel Rachelson; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:798-818

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How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation

Ekdeep Singh Lubana, Puja Trivedi, Danai Koutra, Robert Dick; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:819-837

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Lifelong Robotic Reinforcement Learning by Retaining Experiences

Annie Xie, Chelsea Finn; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:838-855

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Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning

Michael Matthews, Mikayel Samvelyan, Jack Parker-holder, Edward Grefenstette, Tim Rocktäschel; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:856-874

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Open Set Recognition Via Augmentation-Based Similarity Learning

Sepideh Esmaeilpour, Lei Shu, Bing Liu; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:875-885

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Meta-Gradients in Non-Stationary Environments

Jelena Luketina, Sebastian Flennerhag, Yannick Schroecker, David Abel, Tom Zahavy, Satinder Singh; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:886-901

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MO2: Model-Based Offline Options

Sasha Salter, Markus Wulfmeier, Dhruva Tirumala, Nicolas Heess, Martin Riedmiller, Raia Hadsell, Dushyant Rao; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:902-919

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SYNERgy between SYNaptic Consolidation and Experience Replay for General Continual Learning

Fahad Sarfraz, Elahe Arani, Bahram Zonooz; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:920-936

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Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing

Naresh Kumar Gurulingan, Elahe Arani, Bahram Zonooz; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:937-951

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Differencing based Self-supervised pretraining for Scene Change Detection

Vijaya Raghavan T. Ramkumar, Elahe Arani, Bahram Zonooz; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:952-965

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Optimal Transport meets Noisy Label Robust Loss and MixUp Regularization for Domain Adaptation

Kilian Fatras, Hiroki Naganuma, Ioannis Mitliagkas; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:966-981

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CompoSuite: A Compositional Reinforcement Learning Benchmark

Jorge A. Mendez, Marcel Hussing, Meghna Gummadi, Eric Eaton; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:982-1003

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Continual Novelty Detection

Rahaf Aljundi, Daniel Olmeda Reino, Nikolay Chumerin, Richard E. Turner; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:1004-1025

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InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness

Shruthi Gowda, Bahram Zonooz, Elahe Arani; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:1026-1042

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Few-Shot Learning by Dimensionality Reduction in Gradient Space

Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger, Daniel Klotz, Sepp Hochreiter, Sebastian Lehner; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:1043-1064

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SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries

Meghna Gummadi, David Kent, Jorge A. Mendez, Eric Eaton; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:1065-1085

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Trustworthiness Evaluation and Trust-Aware Design of CNN Architectures

Mingxi Cheng, Tingyang Sun, Shahin Nazarian, Paul Bogdan; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:1086-1102

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Adapting Pre-trained Language Models to Low-Resource Text Simplification: The Path Matters

Cristina Garbacea, Qiaozhu Mei; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:1103-1119

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Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2

Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:1120-1145

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Improved Policy Optimization for Online Imitation Learning

Jonathan Wilder Lavington, Sharan Vaswani, Mark Schmidt; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:1146-1173

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Learning Skills Diverse in Value-Relevant Features

Matthew J. A. Smith, Jelena Luketina, Kristian Hartikainen, Maximilian Igl, Shimon Whiteson; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:1174-1194

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Consistency is the Key to Further Mitigating Catastrophic Forgetting in Continual Learning

Prashant Shivaram Bhat, Bahram Zonooz, Elahe Arani; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:1195-1212

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Sim-To-Real Transfer of Visual Grounding for Human-Aided Ambiguity Resolution

Georgios Tziafas, Lambert Schomaker, Hamidreza Kasaei; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:1213-1230

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Probing Transfer in Deep Reinforcement Learning without Task Engineering

Andrei Alex Rusu, Sebastian Flennerhag, Dushyant Rao, Razvan Pascanu, Raia Hadsell; Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:1231-1254

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