Deepak Pathak
72 papers · 2015–2025 · 11 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) π£ Hot Topic Early Bird
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(14)
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(3)
π€
Dynamic Duo
(12)
π
Triple Crown
π¬
Deep Specialist
(21)
π
Keyword Champion
(2)
π
Conference Pioneer
ποΈ
Keyword Collector
(250)
π
Trend Setter
β‘
Prolific Year
(11)
π
Century Club
(72)
π₯
Unstoppable
(11)
Conferences
ICML (15)
CORL (13)
NIPS (12)
RSS (10)
CVPR (9)
ICLR (5)
ICCV (3)
ECCV (2)
JMLR (1)
UAI (1)
WACV (1)
Top co-authors
Keywords
reinforcement learning
(18)
dexterous manipulation
(8)
representation learning
(7)
imitation learning
(7)
policy learning
(6)
zero-shot learning
(5)
transfer learning
(5)
robot learning
(4)
self-supervised learning
(4)
quadruped robot
(3)
semantic segmentation
(3)
neural network
(3)
weakly supervised learning
(3)
convolutional neural network
(3)
diffusion model
(3)
world model
(3)
robotic manipulation
(3)
few-shot learning
(3)
object detection
(3)
robot hand
(3)
Papers
LocoFormer: Generalist Locomotion via Long-context Adaptation
CORL 2025
Deep Reactive Policy: Learning Reactive Manipulator Motion Planning for Dynamic Environments
CORL 2025
Generative Classifiers Avoid Shortcut Solutions
ICLR 2025
Demonstrating LEAP Hand v2: Low-Cost, Easy-to-Assemble, High-Performance Hand for Robot Learning
RSS 2025
FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning
RSS 2025
DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies
RSS 2025
SPIN: Simultaneous Perception Interaction and Navigation
CVPR 2024
On the Surprising Effectiveness of Attention Transfer for Vision Transformers
NIPS 2024
Demonstrating Learning from Humans on Open-Source Dexterous Robot Hands
RSS 2024
Evaluating Text-to-Visual Generation with Image-to-Text Generation
ECCV 2024
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer
ICLR 2024
Language Models as Black-Box Optimizers for Vision-Language Models
CVPR 2024
SAPG: Split and Aggregate Policy Gradients
ICML 2024
Revisiting the Role of Language Priors in Vision-Language Models
ICML 2024
Legolas: Deep Leg-Inertial Odometry
CORL 2024
Bimanual Dexterity for Complex Tasks
CORL 2024
Continuously Improving Mobile Manipulation with Autonomous Real-World RL
CORL 2024
LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning
RSS 2023
Affordances From Human Videos as a Versatile Representation for Robotics
CVPR 2023
Structured World Models from Human Videos
RSS 2023
Your Diffusion Model is Secretly a Zero-Shot Classifier
ICCV 2023
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback
NIPS 2023
Test-time Adaptation with Slot-Centric Models
ICML 2023
FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation
WACV 2023
DEFT: Dexterous Fine-Tuning for Hand Policies
CORL 2023
PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play
CORL 2023
Dexterous Functional Grasping
CORL 2023
Internet Explorer: Targeted Representation Learning on the Open Web
ICML 2023
Efficient RL via Disentangled Environment and Agent Representations
ICML 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning With Multimodal Models
CVPR 2023
Continual Learning with Evolving Class Ontologies
NIPS 2022
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
CORL 2022
Legged Locomotion in Challenging Terrains using Egocentric Vision
CORL 2022
HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration
CORL 2022
VideoDex: Learning Dexterity from Internet Videos
CORL 2022
Topologically-Aware Deformation Fields for Single-View 3D Reconstruction
CVPR 2022
Coupling Vision and Proprioception for Navigation of Legged Robots
CVPR 2022
Understanding Collapse in Non-Contrastive Siamese Representation Learning
ECCV 2022
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
ICML 2022
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer
ICML 2022
Zero-Shot Reward Specification via Grounded Natural Language
ICML 2022
Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on YouTube
RSS 2022
Human-to-Robot Imitation in the Wild
RSS 2022
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
NIPS 2021
Functional Regularization for Reinforcement Learning via Learned Fourier Features
NIPS 2021
Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis From a Single Image
ICCV 2021
Differentiable Spatial Planning using Transformers
ICML 2021
Unsupervised Learning of Visual 3D Keypoints for Control
ICML 2021
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
ICLR 2021
Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots
CORL 2021
Discovering and Achieving Goals via World Models
NIPS 2021
RMA: Rapid Motor Adaptation for Legged Robots
RSS 2021
Hierarchical Neural Dynamic Policies
RSS 2021
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration
NIPS 2021
Planning to Explore via Self-Supervised World Models
ICML 2020
Neural Dynamic Policies for End-to-End Sensorimotor Learning
NIPS 2020
Locally Masked Convolution for Autoregressive Models
UAI 2020
Sparse Graphical Memory for Robust Planning
NIPS 2020
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
ICML 2020
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
NIPS 2019
Large-Scale Study of Curiosity-Driven Learning
ICLR 2019
Self-Supervised Exploration via Disagreement
ICML 2019
Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller
NIPS 2019
Investigating Human Priors for Playing Video Games
ICML 2018
Zero-Shot Visual Imitation
ICLR 2018
Learning Features by Watching Objects Move
CVPR 2017
Curiosity-driven Exploration by Self-supervised Prediction
ICML 2017
Toward Multimodal Image-to-Image Translation
NIPS 2017
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning
JMLR 2016
Context Encoders: Feature Learning by Inpainting
CVPR 2016
Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning
CVPR 2015
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
ICCV 2015