Deepali Jain

According to our database, Deepali Jain authored at least 36 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Summarization of Lengthy Legal Documents via Abstractive Dataset Building: An Extract-then-Assign Approach.

Deepali Jain, Malaya Dutta Borah, Anupam Biswas

Expert Syst. Appl., March, 2024

A sentence is known by the company it keeps: Improving Legal Document Summarization Using Deep Clustering.

Deepali Jain, Malaya Dutta Borah, Anupam Biswas

Artif. Intell. Law, 2024

2023

Bayesian Optimization based Score Fusion of Linguistic Approaches for Improving Legal Document Summarization.

Deepali Jain, Malaya Dutta Borah, Anupam Biswas

Knowl. Based Syst., March, 2023

SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention.

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

CoRR, 2023

Robotic Table Tennis: A Case Study into a High Speed Learning System.

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

CoRR, 2023

Barkour: Benchmarking Animal-level Agility with Quadruped Robots.

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, Jose 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

CoRR, 2023

NITS_Legal at SemEval-2023 Task 6: Rhetorical Roles Prediction of Indian Legal Documents via Sentence Sequence Labeling Approach.

Deepali Jain, Malaya Dutta Borah, Anupam Biswas

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Robotic Table Tennis: A Case Study into a High Speed Learning System.

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

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Mnemosyne: Learning to Train Transformers with Transformers.

Deepali Jain, Krzysztof Marcin Choromanski, Kumar Avinava Dubey, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Agile Catching with Whole-Body MPC and Blackbox Policy Learning.

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

Proceedings of the Learning for Dynamics and Control Conference, 2023

Efficient Graph Field Integrators Meet Point Clouds.

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

Proceedings of the International Conference on Machine Learning, 2023

2022

Implicit Two-Tower Policies.

Yunfan Zhao, Qingkai Pan, Krzysztof Choromanski, Deepali Jain, Vikas Sindhwani

CoRR, 2022

Hybrid Random Features.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops.

Saminda Wishwajith Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Marcin Choromanski, Pannag R. Sanketi

Proceedings of the Conference on Robot Learning, 2022

2021

Summarization of legal documents: Where are we now and the way forward.

Deepali Jain, Malaya Dutta Borah, Anupam Biswas

Comput. Sci. Rev., 2021

Unlocking Pixels for Reinforcement Learning via Implicit Attention.

Krzysztof Choromanski, Deepali Jain, Jack Parker-Holder, Xingyou Song, Valerii Likhosherstov, Anirban Santara, Aldo Pacchiano, Yunhao Tang, Adrian Weller

CoRR, 2021

ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning.

Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Daiyi Peng, Deepali Jain, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Yuxiang Yang

CoRR, 2021

Learning Agile Locomotion Skills with a Mentor.

Atil Iscen, George Yu, Alejandro Escontrela, Deepali Jain, Jie Tan, Ken Caluwaerts

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Reward Machines for Vision-Based Robotic Manipulation.

Alberto Camacho, Jacob Varley, Andy Zeng, Deepali Jain, Atil Iscen, Dmitry Kalashnikov

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

CAWESumm: A Contextual and Anonymous Walk Embedding Based Extractive Summarization of Legal Bills.

Deepali Jain, Malaya Dutta Borah, Anupam Biswas

Proceedings of the 18th International Conference on Natural Language Processing (ICON 2021), National Institute of Technology Silchar, Silchar, India, December 16, 2021

Summarization of Indian Legal Judgement Documents via Ensembling of Contextual Embedding based MLP Models.

Deepali Jain, Malaya Dutta Borah, Anupam Biswas

Proceedings of the Working Notes of FIRE 2021, 2021

Visual-Locomotion: Learning to Walk on Complex Terrains with Vision.

Wenhao Yu, Deepali Jain, Alejandro Escontrela, Atil Iscen, Peng Xu, Erwin Coumans, Sehoon Ha, Jie Tan, Tingnan Zhang

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Disentangled Planning and Control in Vision Based Robotics via Reward Machines.

Alberto Camacho, Jacob Varley, Deepali Jain, Atil Iscen, Dmitry Kalashnikov

CoRR, 2020

Fine-Tuning Textrank for Legal Document Summarization: A Bayesian Optimization Based Approach.

Deepali Jain, Malaya Dutta Borah, Anupam Biswas

Proceedings of the FIRE 2020: Forum for Information Retrieval Evaluation, 2020

From pixels to legs: Hierarchical learning of quadruped locomotion.

Deepali Jain, Ken Caluwaerts, Atil Iscen

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Reinforcement Learning with Chromatic Networks.

Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Deepali Jain, Yuxiang Yang

CoRR, 2019

When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies.

Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Jasmine Hsu, Atil Iscen, Deepali Jain, Vikas Sindhwani

CoRR, 2019

Hierarchical Reinforcement Learning for Quadruped Locomotion.

Deepali Jain, Atil Iscen, Ken Caluwaerts

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Network Motifs: A Survey.

Deepali Jain, Ripon Patgiri

Proceedings of the Advances in Computing and Data Sciences, 2019

Provably Robust Blackbox Optimization for Reinforcement Learning.

Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Deepali Jain, Yuxiang Yang, Atil Iscen, Jasmine Hsu, Vikas Sindhwani

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

In-Memory Big Graph: A Future Research Agenda.

Deepali Jain, Ripon Patgiri, Sabuzima Nayak

Proceedings of the Business Information Systems - 22nd International Conference, 2019

Surveys without Questions: A Reinforcement Learning Approach.

Atanu R. Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Sasidharan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Measurement of Users' Experience on Online Platforms from Their Behavior Logs.

Deepali Jain, Atanu R. Sinha, Deepali Gupta, Nikhil Sheoran, Sopan Khosla

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017

An LSTM Based System for Prediction of Human Activities with Durations.

Kundan Krishna, Deepali Jain, Sanket V. Mehta, Sunav Choudhary

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Fairness Aware Recommendations on Behance.

Natwar Modani, Deepali Jain, Ujjawal Soni, Gaurav Kumar Gupta, Palak Agarwal

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2009

Employing Experience for Updating Trust in Trust Based Recommender Systems.

Harmeet Kaur, Deepali Jain

Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009