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2020 – today
- 2023
[j3]Deepali Jain, Malaya Dutta Borah, Anupam Biswas:
Bayesian Optimization based Score Fusion of Linguistic Approaches for Improving Legal Document Summarization. Knowl. Based Syst. 264: 110336 (2023)- [i14]Krzysztof Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Avinava Dubey, Deepali Jain, Tamás Sarlós, Snigdha Chaturvedi, Adrian Weller:
Efficient Graph Field Integrators Meet Point Clouds. CoRR abs/2302.00942 (2023) - [i13]Deepali Jain, Krzysztof Marcin Choromanski, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan, Avinava Dubey:
Mnemosyne: Learning to Train Transformers with Transformers. CoRR abs/2302.01128 (2023) - 2022
- [c16]Saminda Wishwajith Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Marcin Choromanski, Pannag R. Sanketi:
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. CoRL 2022: 212-224 - [c15]Krzysztof Marcin Choromanski, Han Lin, Haoxian Chen, Arijit Sehanobish, Yuanzhe Ma, Deepali Jain, Jake Varley, Andy Zeng, Michael S. Ryoo, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller:
Hybrid Random Features. ICLR 2022 - [i12]Saminda Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Choromanski, Pannag R. Sanketi:
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. CoRR abs/2207.06572 (2022) - [i11]Yunfan Zhao, Qingkai Pan, Krzysztof Choromanski, Deepali Jain, Vikas Sindhwani:
Implicit Two-Tower Policies. CoRR abs/2208.01191 (2022) - 2021
- [j2]Deepali Jain
, Malaya Dutta Borah, Anupam Biswas:
Summarization of legal documents: Where are we now and the way forward. Comput. Sci. Rev. 40: 100388 (2021) - [c14]Wenhao Yu, Deepali Jain, Alejandro Escontrela, Atil Iscen, Peng Xu, Erwin Coumans, Sehoon Ha, Jie Tan, Tingnan Zhang:
Visual-Locomotion: Learning to Walk on Complex Terrains with Vision. CoRL 2021: 1291-1302 - [c13]Deepali Jain, Malaya Dutta Borah, Anupam Biswas:
Summarization of Indian Legal Judgement Documents via Ensembling of Contextual Embedding based MLP Models. FIRE (Working Notes) 2021: 553-561 - [c12]Deepali Jain, Malaya Dutta Borah, Anupam Biswas:
CAWESumm: A Contextual and Anonymous Walk Embedding Based Extractive Summarization of Legal Bills. ICON 2021: 414-422 - [c11]Atil Iscen, George Yu, Alejandro Escontrela, Deepali Jain, Jie Tan, Ken Caluwaerts:
Learning Agile Locomotion Skills with a Mentor. ICRA 2021: 2019-2025 - [c10]Alberto Camacho, Jacob Varley, Andy Zeng, Deepali Jain, Atil Iscen, Dmitry Kalashnikov:
Reward Machines for Vision-Based Robotic Manipulation. ICRA 2021: 14284-14290 - [i10]Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Daiyi Peng, Deepali Jain, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Yuxiang Yang:
ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning. CoRR abs/2101.07415 (2021) - [i9]Krzysztof Choromanski, Deepali Jain, Jack Parker-Holder, Xingyou Song, Valerii Likhosherstov, Anirban Santara, Aldo Pacchiano, Yunhao Tang, Adrian Weller:
Unlocking Pixels for Reinforcement Learning via Implicit Attention. CoRR abs/2102.04353 (2021) - [i8]Krzysztof Choromanski, Haoxian Chen, Han Lin, Yuanzhe Ma, Arijit Sehanobish, Deepali Jain, Michael S. Ryoo, Jake Varley, Andy Zeng, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller:
Hybrid Random Features. CoRR abs/2110.04367 (2021) - 2020
- [c9]Deepali Jain, Ken Caluwaerts, Atil Iscen:
From pixels to legs: Hierarchical learning of quadruped locomotion. CoRL 2020: 91-102 - [c8]Deepali Jain, Malaya Dutta Borah, Anupam Biswas:
Fine-Tuning Textrank for Legal Document Summarization: A Bayesian Optimization Based Approach. FIRE 2020: 41-48 - [i7]Atanu R. Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Sasidharan:
Surveys without Questions: A Reinforcement Learning Approach. CoRR abs/2006.06323 (2020) - [i6]Atil Iscen, George Yu, Alejandro Escontrela, Deepali Jain, Jie Tan, Ken Caluwaerts:
Learning Agile Locomotion Skills with a Mentor. CoRR abs/2011.05541 (2020) - [i5]Deepali Jain, Atil Iscen, Ken Caluwaerts:
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion. CoRR abs/2011.11722 (2020) - [i4]Alberto Camacho, Jacob Varley, Deepali Jain, Atil Iscen, Dmitry Kalashnikov:
Disentangled Planning and Control in Vision Based Robotics via Reward Machines. CoRR abs/2012.14464 (2020)
2010 – 2019
- 2019
- [c7]Atanu R. Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Sasidharan:
Surveys without Questions: A Reinforcement Learning Approach. AAAI 2019: 257-264 - [c6]Deepali Jain, Ripon Patgiri, Sabuzima Nayak:
In-Memory Big Graph: A Future Research Agenda. BIS (1) 2019: 18-29 - [c5]Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Deepali Jain, Yuxiang Yang, Atil Iscen, Jasmine Hsu, Vikas Sindhwani:
Provably Robust Blackbox Optimization for Reinforcement Learning. CoRL 2019: 683-696 - [c4]Deepali Jain, Atil Iscen, Ken Caluwaerts:
Hierarchical Reinforcement Learning for Quadruped Locomotion. IROS 2019: 7551-7557 - [i3]Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Jasmine Hsu, Atil Iscen, Deepali Jain, Vikas Sindhwani:
When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies. CoRR abs/1903.02993 (2019) - [i2]Deepali Jain, Atil Iscen, Ken Caluwaerts:
Hierarchical Reinforcement Learning for Quadruped Locomotion. CoRR abs/1905.08926 (2019) - [i1]Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Deepali Jain, Yuxiang Yang:
Reinforcement Learning with Chromatic Networks. CoRR abs/1907.06511 (2019) - 2018
- [c3]Deepali Jain, Atanu R. Sinha, Deepali Gupta, Nikhil Sheoran, Sopan Khosla:
Measurement of Users' Experience on Online Platforms from Their Behavior Logs. PAKDD (1) 2018: 475-487 - 2017
- [j1]Kundan Krishna, Deepali Jain, Sanket V. Mehta, Sunav Choudhary:
An LSTM Based System for Prediction of Human Activities with Durations. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(4): 147:1-147:31 (2017) - [c2]Natwar Modani, Deepali Jain, Ujjawal Soni, Gaurav Kumar Gupta, Palak Agarwal:
Fairness Aware Recommendations on Behance. PAKDD (2) 2017: 144-155
2000 – 2009
- 2009
- [c1]Harmeet Kaur, Deepali Jain:
Employing Experience for Updating Trust in Trust Based Recommender Systems. IICAI 2009: 1581-1597
Coauthor Index
aka: Krzysztof Marcin Choromanski
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last updated on 2023-03-26 23:26 CEST by the dblp team
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