Exploring User Behaviour on Etsy through Dominant Colors. - Kamelia Aryafar; Corey Lynch; Josh Attenberg (ICPR, 2014)

Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank. - Corey Lynch; Kamelia Aryafar; Josh Attenberg (KDD, 2016)

Time-Contrastive Networks: Self-Supervised Learning from Multi-view Observation. - Pierre Sermanet; Corey Lynch; Jasmine Hsu; Sergey Levine (CVPR Workshops, 2017)

Time-Contrastive Networks: Self-Supervised Learning from Video. - Pierre Sermanet; Corey Lynch; Yevgen Chebotar; Jasmine Hsu; Eric Jang; Stefan Schaal; Sergey Levine (ICRA, 2018)

Learning Actionable Representations from Visual Observations. - Debidatta Dwibedi; Jonathan Tompson; Corey Lynch; Pierre Sermanet (IROS, 2018)

Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning. - Abhishek Gupta 004; Vikash Kumar; Corey Lynch; Sergey Levine; Karol Hausman (CoRL, 2019)

Learning Latent Plans from Play. - Corey Lynch; Mohi Khansari; Ted Xiao; Vikash Kumar; Jonathan Tompson; Sergey Levine; Pierre Sermanet (CoRL, 2019)

Wasserstein Dependency Measure for Representation Learning. - Sherjil Ozair; Corey Lynch; Yoshua Bengio; Aäron van den Oord; Sergey Levine; Pierre Sermanet (NeurIPS, 2019)

Online Object Representations with Contrastive Learning. - Sören Pirk; Mohi Khansari; Yunfei Bai; Corey Lynch; Pierre Sermanet (CoRR, 2019)

Online Learning of Object Representations by Appearance Space Feature Alignment. - Sören Pirk; Mohi Khansari; Yunfei Bai; Corey Lynch; Pierre Sermanet (ICRA, 2020)

Grounding Language in Play. - Corey Lynch; Pierre Sermanet (CoRR, 2020)

Learning to Play by Imitating Humans. - Rostam Dinyari; Pierre Sermanet; Corey Lynch (CoRR, 2020)

Implicit Behavioral Cloning. - Pete Florence; Corey Lynch; Andy Zeng 001; Oscar A. Ramirez; Ayzaan Wahid; Laura Downs; Adrian Wong; Johnny Lee; Igor Mordatch; Jonathan Tompson (CoRL, 2021)

Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning. - Brian Ichter; Pierre Sermanet; Corey Lynch (CoRL, 2021)

BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning. - Eric Jang; Alex Irpan; Mohi Khansari; Daniel Kappler; Frederik Ebert; Corey Lynch; Sergey Levine; Chelsea Finn (CoRL, 2021)

Language Conditioned Imitation Learning Over Unstructured Data. - Corey Lynch; Pierre Sermanet (Robotics: Science and Systems, 2021)

Learning High Speed Precision Table Tennis on a Physical Robot. - Tianli Ding; Laura Graesser; Saminda Abeyruwan; David B. D'Ambrosio; Anish Shankar; Pierre Sermanet; Pannag R. Sanketi; Corey Lynch (IROS, 2022)

GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot. - Tianli Ding; Laura Graesser; Saminda Abeyruwan; David B. D'Ambrosio; Anish Shankar; Pierre Sermanet; Pannag R. Sanketi; Corey Lynch (CoRR, 2022)

Interactive Language: Talking to Robots in Real Time. - Corey Lynch; Ayzaan Wahid; Jonathan Tompson; Tianli Ding; James Betker; Robert Baruch; Travis Armstrong; Pete Florence (CoRR, 2022)

PaLM-E: An Embodied Multimodal Language Model. - Danny Driess; Fei Xia 002; Mehdi S. M. Sajjadi; Corey Lynch; Aakanksha Chowdhery; Brian Ichter; Ayzaan Wahid; Jonathan Tompson; Quan Vuong; Tianhe Yu; Wenlong Huang; Yevgen Chebotar; et al. (ICML, 2023)

Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning. - Abhishek Gupta 004; Corey Lynch; Brandon Kinman; Garrett Peake; Sergey Levine; Karol Hausman (ICRA, 2023)

Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations. - Negin Heravi; Ayzaan Wahid; Corey Lynch; Pete Florence; Travis Armstrong; Jonathan Tompson; Pierre Sermanet; Jeannette Bohg; Debidatta Dwibedi (ICRA, 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 010; Nevena Lazic; Anish Shankar; Tianli Ding; Jonathan Abelian; Erwin Coumans; Gus Kouretas; Thinh Nguyen; et al. (Robotics: Science and Systems, 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; et al. (CoRR, 2023)