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Dipendra Kumar Misra
Observed names:
Dipendra K. Misra,
Dipendra Misra,
Misra , Dipendra,
Misra, Dipendra,
Misra, Dipendra K.
Observed institutions:
Microsoft (United States),
Cornell University,
Microsoft Research New York City (United States),
Cornell Tech,
Stanford University
OpenAlex ID:
A5088218114
TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments
2019
·
Howard Chen
, Alane Suhr
, et al.
·
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
·
348
PDF
Tell me Dave: Context-sensitive grounding of natural language to manipulation instructions
2015
·
Dipendra K. Misra
, Jaeyong Sung
, et al.
·
The International Journal of Robotics Research
·
190
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning
2017
·
Dipendra Misra
, John Langford
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
188
PDF
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction
2018
·
Dipendra Misra
, Andrew Bennett
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
147
PDF
RoboBrain: Large-Scale Knowledge Engine for Robots
2014
·
Saxena, Ashutosh
, Jain, Ashesh
, et al.
·
arXiv (Cornell University)
·
112
PDF
CHALET: Cornell House Agent Learning Environment
2018
·
Yan, Claudia
, Misra, Dipendra
, et al.
·
arXiv (Cornell University)
·
71
PDF
Lipschitz Continuity in Model-based Reinforcement Learning
2018
·
Asadi, Kavosh
, Misra, Dipendra
, et al.
·
arXiv (Cornell University)
·
61
PDF
Tell Me Dave: Context-Sensitive Grounding of Natural Language to Manipulation Instructions
2014
·
Dipendra Kumar Misra
, Jaeyong Sung
, et al.
·
Robotics: Science and Systems
·
59
PDF
Environment-Driven Lexicon Induction for High-Level Instructions
2015
·
Dipendra Kumar Misra
, Kejia Tao
, et al.
·
56
PDF
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction
2018
·
Blukis, Valts
, Misra, Dipendra
, et al.
·
arXiv (Cornell University)
·
54
PDF
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
2019
·
Misra, Dipendra
, Henaff, Mikael
, et al.
·
arXiv (Cornell University)
·
49
PDF
Neural Shift-Reduce CCG Semantic Parsing
2016
·
Dipendra Kumar Misra
, Yoav Artzi
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
35
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations
2018
·
Dipendra Misra
, Ming-Wei Chang
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
26
PDF
Combating the Compounding-Error Problem with a Multi-step Model
2019
·
Asadi, Kavosh
, Misra, Dipendra
, et al.
·
arXiv (Cornell University)
·
25
PDF
Understanding Contrastive Learning Requires Incorporating Inductive Biases
2022
·
Saunshi, Nikunj
, Ash, Jordan
, et al.
·
arXiv (Cornell University)
·
24
PDF
Aligning LLM Agents by Learning Latent Preference from User Edits
2024
·
Ge Gao
, Alexey Taymanov
, et al.
·
neural information processing systems
·
18
PDF
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning
2024
·
Dylan Foster
, Adam Block
, et al.
·
neural information processing systems
·
11
PDF
The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
2023
·
Sharma, Pratyusha
, Ash, Jordan T.
, et al.
·
arXiv (Cornell University)
·
11
PDF
Investigating the Role of Negatives in Contrastive Representation Learning
2021
·
Ash, Jordan T.
, Goel, Surbhi
, et al.
·
arXiv (Cornell University)
·
11
PDF
EARLY FUSION for Goal Directed Robotic Vision
2019
·
Aaron Walsman
, Yonatan Bisk
, et al.
·
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
·
9
PDF
Learning to Generate Better Than Your LLM
2023
·
Chang, Jonathan D.
, Brantley, Kiante
, et al.
·
arXiv (Cornell University)
·
8
PDF
Interactive Learning from Activity Description
2021
·
Nguyen, Khanh
, Misra, Dipendra
, et al.
·
arXiv (Cornell University)
·
8
PDF
Equivalence Between Wasserstein and Value-Aware Loss for Model-based Reinforcement Learning
2018
·
Asadi, Kavosh
, Cater, Evan
, et al.
·
arXiv (Cornell University)
·
7
PDF
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning
2018
·
Asadi, Kavosh
, Cater, Evan
, et al.
·
arXiv (Cornell University)
·
6
PDF
Learning the Linear Quadratic Regulator from Nonlinear Observations
2020
·
Mhammedi, Zakaria
, Foster, Dylan J.
, et al.
·
arXiv (Cornell University)
·
4
PDF
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Works count:
46
Citation count:
1,559
H-index:
16
I10-index:
19
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