• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 122 matches

• 2023
• 
  Haoran Li, Jingfeng Wu, Vladimir Braverman:
  Fixed Design Analysis of Regularization-Based Continual Learning. CoLLAs 2023: 513-533
• 
  Zaheer Abbas, Rosie Zhao, Joseph Modayil, Adam White, Marlos C. Machado:
  Loss of Plasticity in Continual Deep Reinforcement Learning. CoLLAs 2023: 620-636
• 
  Réda Alami, Mohammed Mahfoud, Eric Moulines:
  Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes. CoLLAs 2023: 715-744
• 
  Safa Alver, Doina Precup:
  Minimal Value-Equivalent Partial Models for Scalable and Robust Planning in Lifelong Reinforcement Learning. CoLLAs 2023: 548-567
• 
  Arip Asadulaev, Vitaly Shutov, Alexander Korotin, Alexander Panfilov, Vladislava Kontsevaya, Andrey Filchenkov:
  A Minimalist Approach for Domain Adaptation with Optimal Transport. CoLLAs 2023: 1009-1024
• 
  Kristopher De Asis, Eric Graves, Richard S. Sutton:
  Value-aware Importance Weighting for Off-policy Reinforcement Learning. CoLLAs 2023: 745-763
• 
  Sarthak Bhagat, Simon Stepputtis, Joseph Campbell, Katia P. Sycara:
  Sample-Efficient Learning of Novel Visual Concepts. CoLLAs 2023: 637-657
• 
  Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor:
  Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges. CoLLAs 2023: 89-119
• 
  Joseph Campbell, Yue Guo, Fiona Xie, Simon Stepputtis, Katia P. Sycara:
  Introspective Action Advising for Interpretable Transfer Learning. CoLLAs 2023: 1072-1090
• 
  Kushagra Chandak, Bingshan Hu, Nidhi Hegde:
  Differentially Private Algorithms for Efficient Online Matroid Optimization. CoLLAs 2023: 66-88
• 
  Peter G. Chang, Gerardo Duràn-Martín, Alexander Y. Shestopaloff, Matt Jones, Kevin Patrick Murphy:
  Low-rank extended Kalman filtering for online learning of neural networks from streaming data. CoLLAs 2023: 1025-1071
• 
  Hsing-Huan Chung, Joydeep Ghosh:
  Incremental Unsupervised Domain Adaptation on Evolving Graphs. CoLLAs 2023: 683-702
• 
  Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté:
  Augmenting Autotelic Agents with Large Language Models. CoLLAs 2023: 205-226
• 
  Boje Deforce, Bart Baesens, Jan Diels, Estefanía Serral Asensio:
  MultiMix TFT: A Multi-task Mixed-Frequency Framework with Temporal Fusion Transformers. CoLLAs 2023: 586-600
• 
  Thang Doan, Seyed-Iman Mirzadeh, Mehrdad Farajtabar:
  Continual Learning Beyond a Single Model. CoLLAs 2023: 961-991
• 
  Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, Serkan Cabi:
  Vision-Language Models as Success Detectors. CoLLAs 2023: 120-136
• 
  Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek:
  EMO: Episodic Memory Optimization for Few-Shot Meta-Learning. CoLLAs 2023: 1-20
• 
  Tom Dupuis, Jaonary Rabarisoa, Quoc-Cuong Pham, David Filliat:
  VIBR: Learning View-Invariant Value Functions for Robust Visual Control. CoLLAs 2023: 658-682
• 
  Lior Friedman, Ron Meir:
  Adaptive Meta-Learning via data-dependent PAC-Bayes bounds. CoLLAs 2023: 796-810
• 
  Alexandre Galashov, Jovana Mitrovic, Dhruva Tirumala, Yee Whye Teh, Timothy Nguyen, Arslan Chaudhry, Razvan Pascanu:
  Continually learning representations at scale. CoLLAs 2023: 534-547
• 
  Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth:
  Class-Incremental Learning with Repetition. CoLLAs 2023: 437-455
• 
  Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth:
  Partial Hypernetworks for Continual Learning. CoLLAs 2023: 318-336
• 
  Renhao Huang, Anthony Tompkins, Maurice Pagnucco, Yang Song:
  Towards Single Source Domain Generalisation in Trajectory Prediction: A Motion Prior based Approach. CoLLAs 2023: 227-243
• 
  Samuel Kessler, Mateusz Ostaszewski, Michal Pawel Bortkiewicz, Mateusz Zarski, Maciej Wolczyk, Jack Parker-Holder, Stephen J. Roberts, Piotr Milos:
  The Effectiveness of World Models for Continual Reinforcement Learning. CoLLAs 2023: 184-204
• 
  Gwen Legate, Lucas Caccia, Eugene Belilovsky:
  Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning. CoLLAs 2023: 764-780
• 
  Timothée Lesort, Oleksiy Ostapenko, Pau Rodríguez, Diganta Misra, Md Rifat Arefin, Laurent Charlin, Irina Rish:
  Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation. CoLLAs 2023: 43-65
• 
  Vincent Létourneau, Colin Bellinger, Isaac Tamblyn, Maia Fraser:
  Time and temporal abstraction in continual learning: tradeoffs, analogies and regret in an active measuring setting. CoLLAs 2023: 470-480
• 
  Amber Li, Tom Silver:
  Embodied Active Learning of Relational State Abstractions for Bilevel Planning. CoLLAs 2023: 358-375
• 
  Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Helen Li, Yiran Chen:
  Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification. CoLLAs 2023: 162-183
• 
  Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White:
  Measuring and Mitigating Interference in Reinforcement Learning. CoLLAs 2023: 781-795

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