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Shagun Sodhani
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2020 – today
- 2024
- [c18]Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar:
Do Large Language Models Know How Much They Know? EMNLP 2024: 6054-6070 - [c17]Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang:
When should we prefer Decision Transformers for Offline Reinforcement Learning? ICLR 2024 - [c16]Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens:
TorchRL: A data-driven decision-making library for PyTorch. ICLR 2024 - [c15]Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff:
Motif: Intrinsic Motivation from Artificial Intelligence Feedback. ICLR 2024 - 2023
- [j3]Shagun Sodhani, Sergey Levine, Amy Zhang:
Improving Generalization with Approximate Factored Value Functions. Trans. Mach. Learn. Res. 2023 (2023) - [c14]Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar:
EpiK-Eval: Evaluation for Language Models as Epistemic Models. EMNLP 2023: 9523-9557 - [c13]Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang:
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training. ICLR 2023 - [i30]Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang:
Sequence Modeling is a Robust Contender for Offline Reinforcement Learning. CoRR abs/2305.14550 (2023) - [i29]Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens:
TorchRL: A data-driven decision-making library for PyTorch. CoRR abs/2306.00577 (2023) - [i28]Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff:
Motif: Intrinsic Motivation from Artificial Intelligence Feedback. CoRR abs/2310.00166 (2023) - [i27]Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar:
EpiK-Eval: Evaluation for Language Models as Epistemic Models. CoRR abs/2310.15372 (2023) - 2022
- [c12]Andrew M. Saxe, Shagun Sodhani, Sam Jay Lewallen:
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks. ICML 2022: 19287-19309 - [c11]Annie Xie, Shagun Sodhani, Chelsea Finn, Joelle Pineau, Amy Zhang:
Robust Policy Learning over Multiple Uncertainty Sets. ICML 2022: 24414-24429 - [c10]Shagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang:
Block Contextual MDPs for Continual Learning. L4DC 2022: 608-623 - [i26]Annie Xie, Shagun Sodhani, Chelsea Finn, Joelle Pineau, Amy Zhang:
Robust Policy Learning over Multiple Uncertainty Sets. CoRR abs/2202.07013 (2022) - [i25]Shagun Sodhani, Mojtaba Faramarzi, Sanket Vaibhav Mehta, Pranshu Malviya, Mohamed A. Abdelsalam, Janarthanan Rajendran, Sarath Chandar:
An Introduction to Lifelong Supervised Learning. CoRR abs/2207.04354 (2022) - [i24]Andrew M. Saxe, Shagun Sodhani, Sam Jay Lewallen:
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks. CoRR abs/2207.10430 (2022) - [i23]Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang:
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training. CoRR abs/2210.00030 (2022) - 2021
- [c9]Mohamed A. Abdelsalam, Mojtaba Faramarzi, Shagun Sodhani, Sarath Chandar:
IIRC: Incremental Implicitly-Refined Classification. CVPR 2021: 11038-11047 - [c8]Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau:
Learning Robust State Abstractions for Hidden-Parameter Block MDPs. ICLR 2021 - [c7]Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, Bernhard Schölkopf:
Recurrent Independent Mechanisms. ICLR 2021 - [c6]Shagun Sodhani, Amy Zhang, Joelle Pineau:
Multi-Task Reinforcement Learning with Context-based Representations. ICML 2021: 9767-9779 - [i22]Shagun Sodhani, Amy Zhang, Joelle Pineau:
Multi-Task Reinforcement Learning with Context-based Representations. CoRR abs/2102.06177 (2021) - [i21]Shagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang:
Block Contextual MDPs for Continual Learning. CoRR abs/2110.06972 (2021) - 2020
- [j2]Shagun Sodhani, Sarath Chandar, Yoshua Bengio:
Toward Training Recurrent Neural Networks for Lifelong Learning. Neural Comput. 32(1): 1-35 (2020) - [c5]Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio:
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. ICLR 2020 - [c4]Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup:
Invariant Causal Prediction for Block MDPs. ICML 2020: 11214-11224 - [i20]Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup:
Invariant Causal Prediction for Block MDPs. CoRR abs/2003.06016 (2020) - [i19]Koustuv Sinha, Shagun Sodhani, Joelle Pineau, William L. Hamilton:
Evaluating Logical Generalization in Graph Neural Networks. CoRR abs/2003.06560 (2020) - [i18]Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Krueger, Gillian K. Hadfield, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensold, Cullen O'Keefe, Mark Koren, Théo Ryffel, J. B. Rubinovitz, Tamay Besiroglu, Federica Carugati, Jack Clark, Peter Eckersley, Sarah de Haas, Maritza Johnson, Ben Laurie, Alex Ingerman, Igor Krawczuk, Amanda Askell, Rosario Cammarota, Andrew Lohn, David Krueger, Charlotte Stix, Peter Henderson, Logan Graham, Carina Prunkl, Bianca Martin, Elizabeth Seger, Noa Zilberman, Seán Ó hÉigeartaigh, Frens Kroeger, Girish Sastry, Rebecca Kagan, Adrian Weller, Brian Tse, Elizabeth Barnes, Allan Dafoe, Paul Scharre, Ariel Herbert-Voss, Martijn Rasser, Shagun Sodhani, Carrick Flynn, Thomas Krendl Gilbert, Lisa Dyer, Saif Khan, Yoshua Bengio, Markus Anderljung:
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. CoRR abs/2004.07213 (2020) - [i17]Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau:
Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP. CoRR abs/2007.07206 (2020) - [i16]Shagun Sodhani, Mayoore S. Jaiswal, Lauren Baker, Koustuv Sinha, Carl Shneider, Peter Henderson, Joel Lehman, Ryan Lowe:
Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop. CoRR abs/2007.10546 (2020) - [i15]Shagun Sodhani, Olivier Delalleau, Mahmoud Assran, Koustuv Sinha, Nicolas Ballas, Michael G. Rabbat:
A Closer Look at Codistillation for Distributed Training. CoRR abs/2010.02838 (2020) - [i14]Mohamed A. Abdelsalam, Mojtaba Faramarzi, Shagun Sodhani, Sarath Chandar:
IIRC: Incremental Implicitly-Refined Classification. CoRR abs/2012.12477 (2020)
2010 – 2019
- 2019
- [j1]Shagun Sodhani, Meng Qu, Jian Tang:
Attending Over Triads for Learning Signed Network Embedding. Frontiers Big Data 2: 6 (2019) - [c3]Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton:
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. EMNLP/IJCNLP (1) 2019: 4505-4514 - [i13]Shagun Sodhani, Anirudh Goyal, Tristan Deleu, Yoshua Bengio, Sergey Levine, Jian Tang:
Learning Powerful Policies by Using Consistent Dynamics Model. CoRR abs/1906.04355 (2019) - [i12]Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio:
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. CoRR abs/1906.10667 (2019) - [i11]Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton:
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. CoRR abs/1908.06177 (2019) - [i10]Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, Bernhard Schölkopf:
Recurrent Independent Mechanisms. CoRR abs/1909.10893 (2019) - 2018
- [c2]Swati Gupta, Shagun Sodhani, Dhaval Patel, Biplab Banerjee:
News Category Network based Approach for News Source Recommendations. ICACCI 2018: 133-138 - [c1]Milan Aggarwal, Aarushi Arora, Shagun Sodhani, Balaji Krishnamurthy:
Improving Search Through A3C Reinforcement Learning Based Conversational Agent. ICCS (2) 2018: 273-286 - [i9]Shagun Sodhani, Vardaan Pahuja:
Reproducibility Report for "Learning To Count Objects In Natural Images For Visual Question Answering". CoRR abs/1805.08174 (2018) - [i8]Shagun Sodhani, Vardaan Pahuja:
Memory Augmented Self-Play. CoRR abs/1805.11016 (2018) - [i7]Sanket Vaibhav Mehta, Shagun Sodhani, Dhaval Patel:
Spatial Co-location Pattern Mining - A new perspective using Graph Database. CoRR abs/1810.09007 (2018) - [i6]Koustuv Sinha, Shagun Sodhani, William L. Hamilton, Joelle Pineau:
Compositional Language Understanding with Text-based Relational Reasoning. CoRR abs/1811.02959 (2018) - [i5]Shagun Sodhani, Sarath Chandar, Yoshua Bengio:
On Training Recurrent Neural Networks for Lifelong Learning. CoRR abs/1811.07017 (2018) - [i4]Khimya Khetarpal, Shagun Sodhani, Sarath Chandar, Doina Precup:
Environments for Lifelong Reinforcement Learning. CoRR abs/1811.10732 (2018) - 2017
- [i3]Milan Aggarwal, Aarushi Arora, Shagun Sodhani, Balaji Krishnamurthy:
Reinforcement Learning Based Conversational Search Assistant. CoRR abs/1709.05638 (2017) - [i2]Supriya Pandhre, Shagun Sodhani:
Survey of Recent Advances in Visual Question Answering. CoRR abs/1709.08203 (2017) - 2015
- [i1]Sanket Vaibhav Mehta, Shagun Sodhani:
Stack Exchange Tagger. CoRR abs/1512.04092 (2015)
Coauthor Index
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last updated on 2024-11-15 19:34 CET by the dblp team
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