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Anchit Gupta
Anchit Gupta
Meta AI
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Muppet: Massive multi-task representations with pre-finetuning
A Aghajanyan, A Gupta, A Shrivastava, X Chen, L Zettlemoyer, S Gupta
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
2282021
ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
A Mandlekar, Y Zhu, A Garg, J Booher, M Spero, A Tung, J Gao, ...
2nd Annual Conference on Robot Learning, CoRL 2018 19 (20), 879-893, 2018
2102018
Better fine-tuning by reducing representational collapse
A Aghajanyan, A Shrivastava, A Gupta, N Goyal, L Zettlemoyer, S Gupta
ICLR 2021, 2020
2032020
SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark
L Fan, Y Zhu, J Zhu, Z Liu, O Zeng, A Gupta, J Creus-Costa, S Savarese, ...
2nd Annual Conference on Robot Learning, CoRL 2018, 767-782, 2018
1752018
MTOP: A comprehensive multilingual task-oriented semantic parsing benchmark
H Li, A Arora, S Chen, A Gupta, S Gupta, Y Mehdad
Proceedings of the 16th Conference of the European Chapter of the …, 2020
1212020
Scaling robot supervision to hundreds of hours with roboturk: Robotic manipulation dataset through human reasoning and dexterity
A Mandlekar, J Booher, M Spero, A Tung, A Gupta, Y Zhu, A Garg, ...
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
652019
Domain-matched pre-training tasks for dense retrieval
B Oğuz, K Lakhotia, A Gupta, P Lewis, V Karpukhin, A Piktus, X Chen, ...
Findings of the Association for Computational Linguistics: NAACL 2022, 2021
522021
3dgen: Triplane latent diffusion for textured mesh generation
A Gupta, W Xiong, Y Nie, I Jones, B Oğuz
arXiv preprint arXiv:2303.05371, 2023
512023
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?
X Chen, K Lakhotia, B Oğuz, A Gupta, P Lewis, S Peshterliev, Y Mehdad, ...
Findings of the 2022 Conference on Empirical Methods in Natural Language …, 2021
442021
Adapting pretrained text-to-text models for long text sequences
W Xiong, A Gupta, S Toshniwal, Y Mehdad, W Yih
Findings of the 2023 Conference on Empirical Methods in Natural Language …, 2022
182022
Simple Local Attentions Remain Competitive for Long-Context Tasks
W Xiong, B Oğuz, A Gupta, X Chen, D Liskovich, O Levy, W Yih, ...
Proceedings of the 2022 Conference of the North American Chapter of the …, 2021
182021
Sound natural: Content rephrasing in dialog systems
A Einolghozati, A Gupta, K Diedrick, S Gupta
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
62020
Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing
A Shrivastava, S Desai, A Gupta, A Elkahky, A Livshits, A Zotov, A Aly
Proceedings of the 17th Conference of the European Chapter of the …, 2023
52023
Improved Strong Worst-case Upper Bounds for MDP Planning.
A Gupta, S Kalyanakrishnan
IJCAI, 1788-1794, 2017
52017
Stochastic shortest path with energy constraints in POMDPs
T Brázdil, K Chatterjee, M Chmelík, A Gupta, P Novotný
Proceedings of the 2016 International Conference on Autonomous Agents …, 2016
52016
Clip-layout: Style-consistent indoor scene synthesis with semantic furniture embedding
J Liu, W Xiong, I Jones, Y Nie, A Gupta, B Oğuz
arXiv preprint arXiv:2303.03565, 2023
42023
A Study on the Efficiency and Generalization of Light Hybrid Retrievers
M Luo, S Jain, A Gupta, A Einolghozati, B Oguz, D Chatterjee, X Chen, ...
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
22023
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning
L Fan, Y Zhu, J Zhu, Z Liu, O Zeng, A Gupta, J Creus-Costa, S Savarese, ...
arXiv preprint arXiv:1909.12989, 2019
22019
Recommending Related YouTube Videos
S Thakoor, A Gupta, P Shah
2*
CS234 Notes-Lecture 11, 12 Exploration and Exploitation
A Gupta, J Harrison, E Brunskill
Stanford, 2014
12014
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Articles 1–20