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Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task ?


Jun 20, 2021
Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar

* Accepted at SIGDial 2021. arXiv admin note: substantial text overlap with arXiv:2008.10427 

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A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss


Jun 20, 2021
Prasanna Parthasarathi, Mohamed Abdelsalam, Joelle Pineau, Sarath Chandar

* Accepted at SIGDial 2021 

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A Survey of Data Augmentation Approaches for NLP


May 29, 2021
Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, Eduard Hovy

* Accepted to ACL 2021 Findings. GitHub repo with paper list at https://github.com/styfeng/DataAug4NLP 

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TAG: Task-based Accumulated Gradients for Lifelong learning


May 11, 2021
Pranshu Malviya, Balaraman Ravindran, Sarath Chandar


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Continuous Coordination As a Realistic Scenario for Lifelong Learning


Mar 04, 2021
Hadi Nekoei, Akilesh Badrinaaraayanan, Aaron Courville, Sarath Chandar


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IIRC: Incremental Implicitly-Refined Classification


Jan 11, 2021
Mohamed Abdelsalam, Mojtaba Faramarzi, Shagun Sodhani, Sarath Chandar


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Maximum Reward Formulation In Reinforcement Learning


Oct 08, 2020
Sai Krishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor, Sarath Chandar

* 13 pages, 5 figures 

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