Jonathan Tompson
31 papers · 2015–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (48) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Evolution
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Mega-Team Β· Squad
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Keyword Pioneer
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(140)
Top co-authors
Research topics
Machine Learning
(16)
Artificial Intelligence
(14)
Deep Learning
(13)
Core AI
(11)
Learning Types Β· Machine Learning
(10)
Reinforcement Learning
(9)
Methods
(8)
Architectures
(7)
Core Methods
(7)
Computer Vision
(6)
Analysis
(5)
Learning Paradigms
(5)
Learning Types Β· Deep Learning
(5)
Application Areas
(4)
Natural Language Processing
(2)
Keywords
imitation learning
(5)
robot manipulation
(4)
convolutional network
(4)
robotic manipulation
(3)
convolutional neural network
(3)
self-supervised learning
(3)
vision-language model
(3)
offline reinforcement learning
(3)
closed-loop feedback
(2)
reinforcement learning
(2)
large language model
(2)
sample efficiency
(2)
semi-supervised learning
(2)
visual question answering
(2)
embodied ai
(2)
contrastive learning
(2)
representation learning
(2)
policy learning
(2)
video generation
(1)
pose estimation
(1)
Papers
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING
ICML 2025
Robot Data Curation with Mutual Information Estimators
RSS 2025
ALOHA Unleashed: A Simple Recipe for Robot Dexterity
CoRL 2024
FlexCap: Describe Anything in Images in Controllable Detail
NeurIPS 2024
Learning Interactive Real-World Simulators
ICLR 2024
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
RSS 2024
RT-H: Action Hierarchies using Language
RSS 2024
Video Language Planning
ICLR 2024
Contrastive Value Learning: Implicit Models for Simple Offline RL
CoRL 2023
Geometry Matching for Multi-Embodiment Grasping
CoRL 2023
PaLM-E: An Embodied Multimodal Language Model
ICML 2023
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
RSS 2023
Scaling Robot Learning with Semantically Imagined Experience
RSS 2023
Inner Monologue: Embodied Reasoning through Planning with Language Models
CoRL 2022
Implicit Behavioral Cloning
CoRL 2021
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
ICML 2021
With a Little Help From My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
ICCV 2021
XIRL: Cross-embodiment Inverse Reinforcement Learning
CoRL 2021
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild
CVPR 2020
Imitation Learning via Off-Policy Distribution Matching
ICLR 2020
Transporter Networks: Rearranging the Visual World for Robotic Manipulation
CoRL 2020
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
ICLR 2019
Learning Latent Plans from Play
CoRL 2019
Temporal Cycle-Consistency Learning
CVPR 2019
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model
ECCV 2018
Accelerating Eulerian Fluid Simulation With Convolutional Networks
ICML 2017
Learning Robotic Manipulation of Granular Media
CoRL 2017
Towards Accurate Multi-Person Pose Estimation in the Wild
CVPR 2017
Efficient ConvNet-Based Marker-Less Motion Capture in General Scenes With a Low Number of Cameras
CVPR 2015
Efficient Object Localization Using Convolutional Networks
CVPR 2015
Unsupervised Learning of Spatiotemporally Coherent Metrics
ICCV 2015