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Deepali Jain
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Journal Articles
- 2024
- [j5]Deepali Jain
, Malaya Dutta Borah, Anupam Biswas:
A sentence is known by the company it keeps: Improving Legal Document Summarization Using Deep Clustering. Artif. Intell. Law 32(1): 165-200 (2024) - [j4]Deepali Jain
, Malaya Dutta Borah
, Anupam Biswas
:
Summarization of Lengthy Legal Documents via Abstractive Dataset Building: An Extract-then-Assign Approach. Expert Syst. Appl. 237(Part B): 121571 (2024) - 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) - 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) - 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)
Conference and Workshop Papers
- 2024
- [c23]Isabel Leal, Krzysztof Choromanski, Deepali Jain, Avinava Dubey, Jake Varley, Michael S. Ryoo, Yao Lu, Frederick Liu, Vikas Sindhwani, Quan Vuong, Tamás Sarlós, Ken Oslund, Karol Hausman, Kanishka Rao:
SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. ICRA 2024: 6920-6927 - 2023
- [c22]Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tamás Sarlós, Snigdha Chaturvedi, Adrian Weller:
Efficient Graph Field Integrators Meet Point Clouds. ICML 2023: 5978-6004 - [c21]Saminda Abeyruwan, Alex Bewley, Nicholas Matthew Boffi, Krzysztof Marcin Choromanski, David B. D'Ambrosio, Deepali Jain, Pannag R. Sanketi, Anish Shankar, Vikas Sindhwani, Sumeet Singh, Jean-Jacques E. Slotine, Stephen Tu:
Agile Catching with Whole-Body MPC and Blackbox Policy Learning. L4DC 2023: 851-863 - [c20]Deepali Jain, Krzysztof Marcin Choromanski, Kumar Avinava Dubey, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan:
Mnemosyne: Learning to Train Transformers with Transformers. NeurIPS 2023 - [c19]David B. D'Ambrosio, Navdeep Jaitly, Vikas Sindhwani, Ken Oslund, Peng Xu, Nevena Lazic, Anish Shankar, Tianli Ding, Jonathan Abelian, Erwin Coumans, Gus Kouretas, Thinh Nguyen, Justin Boyd, Atil Iscen, Reza Mahjourian, Vincent Vanhoucke, Alex Bewley, Yuheng Kuang, Michael Ahn, Deepali Jain, Satoshi Kataoka, Omar E. Cortes, Pierre Sermanet, Corey Lynch, Pannag R. Sanketi, Krzysztof Choromanski, Wenbo Gao, Juhana Kangaspunta, Krista Reymann, Grace Vesom, Sherry Q. Moore, Avi Singh, Saminda Wishwajith Abeyruwan, Laura Graesser:
Robotic Table Tennis: A Case Study into a High Speed Learning System. Robotics: Science and Systems 2023 - [c18]Deepali Jain, Malaya Dutta Borah, Anupam Biswas:
NITS_Legal at SemEval-2023 Task 6: Rhetorical Roles Prediction of Indian Legal Documents via Sentence Sequence Labeling Approach. SemEval@ACL 2023: 751-757 - 2022
- [c17]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 - [c16]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 - 2021
- [c15]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 - [c14]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 - [c13]Deepali Jain, Malaya Dutta Borah, Anupam Biswas:
CAWESumm: A Contextual and Anonymous Walk Embedding Based Extractive Summarization of Legal Bills. ICON 2021: 414-422 - [c12]Atil Iscen, George Yu, Alejandro Escontrela, Deepali Jain, Jie Tan, Ken Caluwaerts:
Learning Agile Locomotion Skills with a Mentor. ICRA 2021: 2019-2025 - [c11]Alberto Camacho, Jacob Varley, Andy Zeng, Deepali Jain, Atil Iscen, Dmitry Kalashnikov:
Reward Machines for Vision-Based Robotic Manipulation. ICRA 2021: 14284-14290 - 2020
- [c10]Deepali Jain, Ken Caluwaerts, Atil Iscen:
From pixels to legs: Hierarchical learning of quadruped locomotion. CoRL 2020: 91-102 - [c9]Deepali Jain
, Malaya Dutta Borah, Anupam Biswas
:
Fine-Tuning Textrank for Legal Document Summarization: A Bayesian Optimization Based Approach. FIRE 2020: 41-48 - 2019
- [c8]Atanu R. Sinha, Deepali Jain, Nikhil Sheoran
, Sopan Khosla, Reshmi Sasidharan:
Surveys without Questions: A Reinforcement Learning Approach. AAAI 2019: 257-264 - [c7]Deepali Jain
, Ripon Patgiri
, Sabuzima Nayak
:
In-Memory Big Graph: A Future Research Agenda. BIS (1) 2019: 18-29 - [c6]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 - [c5]Deepali Jain
, Ripon Patgiri
:
Network Motifs: A Survey. ICACDS (2) 2019: 80-91 - [c4]Deepali Jain, Atil Iscen, Ken Caluwaerts:
Hierarchical Reinforcement Learning for Quadruped Locomotion. IROS 2019: 7551-7557 - 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
- [c2]Natwar Modani, Deepali Jain, Ujjawal Soni, Gaurav Kumar Gupta, Palak Agarwal:
Fairness Aware Recommendations on Behance. PAKDD (2) 2017: 144-155 - 2009
- [c1]Harmeet Kaur, Deepali Jain:
Employing Experience for Updating Trust in Trust Based Recommender Systems. IICAI 2009: 1581-1597
Informal and Other Publications
- 2024
- [i21]Jake Varley, Sumeet Singh, Deepali Jain, Krzysztof Choromanski, Andy Zeng, Somnath Basu Roy Chowdhury, Avinava Dubey, Vikas Sindhwani:
Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity. CoRR abs/2404.03570 (2024) - [i20]Arijit Sehanobish, Avinava Dubey, Krzysztof Choromanski, Somnath Basu Roy Chowdhury, Deepali Jain, Vikas Sindhwani, Snigdha Chaturvedi:
Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning. CoRR abs/2406.17740 (2024) - [i19]William F. Whitney, Jacob Varley, Deepali Jain, Krzysztof Choromanski, Sumeet Singh, Vikas Sindhwani:
Modeling the Real World with High-Density Visual Particle Dynamics. CoRR abs/2406.19800 (2024) - 2023
- [i18]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) - [i17]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) - [i16]Ken Caluwaerts, Atil Iscen, J. Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang-Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Linda Luu, Ofir Nachum, Ken Oslund, Jason Powell, Diego Reyes, Francesco Romano, Fereshteh Sadeghi, Ron Sloat, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan:
Barkour: Benchmarking Animal-level Agility with Quadruped Robots. CoRR abs/2305.14654 (2023) - [i15]Saminda Abeyruwan, Alex Bewley, Nicholas M. Boffi, Krzysztof Choromanski, David B. D'Ambrosio, Deepali Jain, Pannag Sanketi, Anish Shankar, Vikas Sindhwani, Sumeet Singh, Jean-Jacques E. Slotine, Stephen Tu:
Agile Catching with Whole-Body MPC and Blackbox Policy Learning. CoRR abs/2306.08205 (2023) - [i14]David B. D'Ambrosio, Jonathan Abelian, Saminda Abeyruwan, Michael Ahn, Alex Bewley, Justin Boyd, Krzysztof Choromanski, Omar Cortes, Erwin Coumans, Tianli Ding, Wenbo Gao, Laura Graesser, Atil Iscen, Navdeep Jaitly, Deepali Jain, Juhana Kangaspunta, Satoshi Kataoka, Gus Kouretas, Yuheng Kuang, Nevena Lazic, Corey Lynch, Reza Mahjourian, Sherry Q. Moore, Thinh Nguyen, Ken Oslund, Barney J. Reed, Krista Reymann, Pannag R. Sanketi, Anish Shankar, Pierre Sermanet, Vikas Sindhwani, Avi Singh, Vincent Vanhoucke, Grace Vesom, Peng Xu:
Robotic Table Tennis: A Case Study into a High Speed Learning System. CoRR abs/2309.03315 (2023) - [i13]Isabel Leal, Krzysztof Choromanski, Deepali Jain, Avinava Dubey, Jake Varley, Michael S. Ryoo, Yao Lu, Frederick Liu, Vikas Sindhwani, Quan Vuong, Tamás Sarlós, Ken Oslund, Karol Hausman, Kanishka Rao:
SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. CoRR abs/2312.01990 (2023) - 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
- [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
- [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) - 2019
- [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)
Coauthor Index
aka: Krzysztof Marcin Choromanski
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last updated on 2024-08-20 22:59 CEST by the dblp team
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