• 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 96 matches

• 2023
• 
  Andreas Madsen, Siva Reddy, Sarath Chandar:
  Post-hoc Interpretability for Neural NLP: A Survey. ACM Comput. Surv. 55(8): 155:1-155:42 (2023)
• 
  Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar:
  Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning. CoRR abs/2302.02792 (2023)
• 
  Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar:
  Replay Buffer With Local Forgetting for Adaptive Deep Model-Based Reinforcement Learning. CoRR abs/2303.08690 (2023)
• 
  Xutong Zhao, Yangchen Pan, Chenjun Xiao, Sarath Chandar, Janarthanan Rajendran:
  Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning. CoRR abs/2303.09032 (2023)
• 2022
• 
  Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar:
  PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks. AAAI 2022: 589-597
• 
  Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar:
  Local Structure Matters Most: Perturbation Study in NLU. ACL (Findings) 2022: 3712-3731
• 
  Simon Guiroy, Christopher Pal, Gonçalo Mordido, Sarath Chandar:
  Improving Meta-Learning Generalization with Activation-Based Early-Stopping. CoLLAs 2022: 213-230
• 
  Pranshu Malviya, Balaraman Ravindran, Sarath Chandar:
  TAG: Task-based Accumulated Gradients for Lifelong learning. CoLLAs 2022: 366-389
• 
  Daphné Lafleur, Sarath Chandar, Gilles Pesant:
  Combining Reinforcement Learning and Constraint Programming for Sequence-Generation Tasks with Hard Constraints. CP 2022: 30:1-30:16
• 
  Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar:
  Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes. EMNLP (Findings) 2022: 5375-5396
• 
  Paul-Aymeric Martin McRae, Prasanna Parthasarathi, Mido Assran, Sarath Chandar:
  Memory Augmented Optimizers for Deep Learning. ICLR 2022
• 
  Yi Wan, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen:
  Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods. ICML 2022: 22536-22561
• 
  Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar:
  Local Structure Matters Most in Most Languages. AACL/IJCNLP (2) 2022: 285-294
• 
  Sarath Chandar, Razvan Pascanu, Doina Precup:
  Conference on Lifelong Learning Agents, CoLLAs 2022, 22-24 August 2022, McGill University, Montréal, Québec, Canada. Proceedings of Machine Learning Research 199, PMLR 2022 [contents]
• 
  Amir Ardalan Kalantari, Mohammad Amini, Sarath Chandar, Doina Precup:
  Improving Sample Efficiency of Value Based Models Using Attention and Vision Transformers. CoRR abs/2202.00710 (2022)
• 
  Yi Wan, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen:
  Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods. CoRR abs/2204.11464 (2022)
• 
  Shagun Sodhani, Mojtaba Faramarzi, Sanket Vaibhav Mehta, Pranshu Malviya, Mohamed Abdelsalam, Janarthanan Rajendran, Sarath Chandar:
  An Introduction to Lifelong Supervised Learning. CoRR abs/2207.04354 (2022)
• 
  Simon Guiroy, Christopher Pal, Gonçalo Mordido, Sarath Chandar:
  Improving Meta-Learning Generalization with Activation-Based Early-Stopping. CoRR abs/2208.02377 (2022)
• 
  Enamundram Naga Karthik, Anne Kerbrat, Pierre Labauge, Tobias Granberg, Jason Talbott, Daniel S. Reich, Massimo Filippi, Rohit Bakshi, Virginie Callot, Sarath Chandar, Julien Cohen-Adad:
  Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch? CoRR abs/2210.15091 (2022)
• 
  Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar:
  Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes. CoRR abs/2211.05015 (2022)
• 
  Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar:
  Local Structure Matters Most in Most Languages. CoRR abs/2211.05025 (2022)
• 
  Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar:
  Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness. CoRR abs/2211.11109 (2022)
• 
  Gonçalo Mordido, Sarath Chandar, François Leduc-Primeau:
  Sharpness-Aware Training for Accurate Inference on Noisy DNN Accelerators. CoRR abs/2211.11561 (2022)
• 
  Gabriele Prato, Yale Song, Janarthanan Rajendran, R. Devon Hjelm, Neel Joshi, Sarath Chandar:
  PatchBlender: A Motion Prior for Video Transformers. CoRR abs/2211.14449 (2022)
• 2021
• 
  Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov, Sahir, Rohan Nuttall, Mohammad Amini, Matthew E. Taylor, Sarath Chandar:
  Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery. AAAI 2021: 142-150
• 
  Louis Clouâtre, Philippe Trempe, Amal Zouaq, Sarath Chandar:
  MLMLM: Link Prediction with Mean Likelihood Masked Language Model. ACL/IJCNLP (Findings) 2021: 4321-4331
• 
  Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, Eduard H. Hovy:
  A Survey of Data Augmentation Approaches for NLP. ACL/IJCNLP (Findings) 2021: 968-988
• 
  Mohamed Abdelsalam, Mojtaba Faramarzi, Shagun Sodhani, Sarath Chandar:
  IIRC: Incremental Implicitly-Refined Classification. CVPR 2021: 11038-11047
• 
  Hadi Nekoei, Akilesh Badrinaaraayanan, Aaron C. Courville, Sarath Chandar:
  Continuous Coordination As a Realistic Scenario for Lifelong Learning. ICML 2021: 8016-8024
• 
  Prasanna Parthasarathi, Mohamed Abdelsalam, Sarath Chandar, Joelle Pineau:
  A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss. SIGDIAL 2021: 469-476

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