Poster sessions
You can find a link to each poster's zoom meeting at the bottom of the workshop schedule on the official ICML webpage. Authors will be present during the two poster sessions.
Accepted papers
Best paper: Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
Vinay V Ramasesh, Ethan Dyer, Maithra Raghu
Spotlight: Deep Reinforcement Learning amidst Lifelong Non-Stationarity
Annie Xie, James Harrison, Chelsea Finn
Spotlight: Wandering Within a World: Online Contextualized Few-Shot Learning
Mengye Ren, Michael Iuzzolino, Michael C Mozer, Richard Zemel
Spotlight: Continual Learning from the Perspective of Compression
Xu He, Min Lin
Spotlight: SOLA: Continual Learning with Loss Function Approximation
Dong Yin, Mehrdad Farajtabar, Ang Li
Spotlight: Supermasks in Superposition (Supplementary)
Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi
Continual Deep Learning by Functional Regularisation of Memorable Past
Pingbo Pan, Siddharth Swaroop, Alexander Immer, Runa Eschenhagen, Richard E. Turner, Mohammad Emtiyaz Khan
UNCLEAR: A Straightforward Method for Continual Reinforcement Learning
Samuel Kessler, Jack Parker-Holder, Philip Ball, Stefan Zohren, Stephen Roberts
Understanding Regularisation Methods for Continual Learning
Frederik Benzing
Combining Variational Continual Learning with FiLM Layers
Noel Loo, Siddharth Swaroop, Richard E. Turner
Task-Agnostic Continual Learning via Stochastic Synapses
Simon Schug, Frederik Benzing, Angelika Steger
Continual Learning in Human Activity Recognition: An empirical analysis of Regularization
Martin Schiemer, Saurav Jha, Juan Ye
Disentanglement of Color and Shape Representations for Continual Learning
David Berga, Marc Masana, Joost van de Weijer
Evaluating Agents Without Rewards
Brendon Matusch, Jimmy Ba, Danijar Hafner
Raviteja Chunduru, Doina Precup
Visually Grounded Continual Learning of Compositional Phrases
Xisen Jin, Junyi Du, Arka Sadhu, Ram Nevatia, Xiang Ren
Task Agnostic Continual Learning via Meta Learning
Xu He, Jakub Sygnowski, Alexandre Galashov, Andrei A. Rusu, Yee Whye Teh, Razvan Pascanu
Online Inducing Points Selection for Gaussian Processes
Theo Galy-Fajou, Manfred Opper
Understanding the Role of Training Regime in Continual Learning (Supplementary)
Seyed Iman Mirzadeh, Mehrdad Farajtabar, Razvan Pascanu, Hassan Ghasemzadeh
Variational Auto-Regressive Gaussian Processes for Continual Learning
Sanyam Kapoor, Theofanis Karaletsos, Thang D Bui
A General Framework for Continual Learning of Compositional Structures (Supplementary)
Jorge A Mendez, Eric Eaton
Beyond Catastrophic Forgetting in Continual Learning: An Attempt with SVM
Diana Benavides-Prado
Continual Reinforcement Learning with Multi-Timescale Replay
Christos Kaplanis, Claudia Clopath, Murray Shanahan
Phu M Htut, Owen Marschall, Samuel R. Bowman, Douwe Kiela, Edward Grefenstette, Cristina Savin, Kyunghyun Cho
Beyond Catastrophic Forgetting in Continual Learning: An Attempt with SVM
Diana Benavides-Prado
On Class Orderings for Incremental Learning
Marc Masana, Bartomiej Twardowski, Joost van de Weijer
Routing Networks with Co-training for Continual Learning
Mark Collier, Effrosyni Kokiopoulou, Andrea Gesmundo, Jesse Berent
Active Online Domain Adaptation
Yining Chen, Hailing Luo, Tengyu Ma, Chicheng Zhang
Variational Beam Search for Continual Learning (Supplementary)
Aodong Li, Alex J Boyd, Padhraic Smyth, Stephan Mandt