Data Distillation: Towards Omni-Supervised Learning. - Ilija Radosavovic; Piotr Dollár; Ross B. Girshick; Georgia Gkioxari; Kaiming He (CVPR, 2018)

Attentive Single-Tasking of Multiple Tasks. - Kevis-Kokitsi Maninis; Ilija Radosavovic; Iasonas Kokkinos (CVPR, 2019)

On Network Design Spaces for Visual Recognition. - Ilija Radosavovic; Justin Johnson 001; Saining Xie; Wan-Yen Lo; Piotr Dollár (ICCV, 2019)

Designing Network Design Spaces. - Ilija Radosavovic; Raj Prateek Kosaraju; Ross B. Girshick; Kaiming He; Piotr Dollár (CVPR, 2020)

Reconstructing Hand-Object Interactions in the Wild. - Zhe Cao; Ilija Radosavovic; Angjoo Kanazawa; Jitendra Malik (ICCV, 2021)

State-Only Imitation Learning for Dexterous Manipulation. - Ilija Radosavovic; Xiaolong Wang 004; Lerrel Pinto; Jitendra Malik (IROS, 2021)

Ego4D: Around the World in 3, 000 Hours of Egocentric Video. - Kristen Grauman; Andrew Westbury; Eugene Byrne; Zachary Chavis; Antonino Furnari; Rohit Girdhar; Jackson Hamburger; Hao Jiang 007; Miao Liu 007; Xingyu Liu 001; Miguel Martin; Tushar Nagarajan; et al. (CoRR, 2021)

Real-World Robot Learning with Masked Visual Pre-training. - Ilija Radosavovic; Tete Xiao; Stephen James; Pieter Abbeel; Jitendra Malik; Trevor Darrell (CoRL, 2022)

Ego4D: Around the World in 3, 000 Hours of Egocentric Video. - Kristen Grauman; Andrew Westbury; Eugene Byrne; Zachary Chavis; Antonino Furnari; Rohit Girdhar; Jackson Hamburger; Hao Jiang 007; Miao Liu 007; Xingyu Liu 001; Miguel Martin; Tushar Nagarajan; et al. (CVPR, 2022)

Masked Visual Pre-training for Motor Control. - Tete Xiao; Ilija Radosavovic; Trevor Darrell; Jitendra Malik (CoRR, 2022)

Learning to Learn with Generative Models of Neural Network Checkpoints. - William S. Peebles; Ilija Radosavovic; Tim Brooks; Alexei A. Efros; Jitendra Malik (CoRR, 2022)

Learning to Imitate Object Interactions from Internet Videos. - Austin Patel; Andrew Wang 003; Ilija Radosavovic; Jitendra Malik (CoRR, 2022)

Robot Learning with Sensorimotor Pre-training. - Ilija Radosavovic; Baifeng Shi; Letian Fu; Ken Goldberg; Trevor Darrell; Jitendra Malik (CoRL, 2023)

Learning Humanoid Locomotion with Transformers. - Ilija Radosavovic; Tete Xiao; Bike Zhang; Trevor Darrell; Jitendra Malik; Koushil Sreenath (CoRR, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models. - Open X.-Embodiment Collaboration; Abhishek Padalkar; Acorn Pooley; Ajinkya Jain; Alex Bewley; Alexander Herzog; Alex Irpan; Alexander Khazatsky; Anant Raj; Anikait Singh; Anthony Brohan; Antonin Raffin; et al. (CoRR, 2023)

Reconstructing Hands in 3D with Transformers. - Georgios Pavlakos; Dandan Shan; Ilija Radosavovic; Angjoo Kanazawa; David Fouhey; Jitendra Malik (CVPR, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Humanoid Locomotion as Next Token Prediction. - Ilija Radosavovic; Bike Zhang; Baifeng Shi; Jathushan Rajasegaran; Sarthak Kamat; Trevor Darrell; Koushil Sreenath; Jitendra Malik (NeurIPS, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (CoRR, 2024)

Learning Humanoid Locomotion over Challenging Terrain. - Ilija Radosavovic; Sarthak Kamat; Trevor Darrell; Jitendra Malik (CoRR, 2024)

Real-world humanoid locomotion with reinforcement learning. - Ilija Radosavovic; Tete Xiao; Bike Zhang; Trevor Darrell; Jitendra Malik; Koushil Sreenath (Sci. Robotics, 2024)

An Empirical Study of Autoregressive Pre-training from Videos. - Jathushan Rajasegaran; Ilija Radosavovic; Rahul Ravishankar; Yossi Gandelsman; Christoph Feichtenhofer; Jitendra Malik (CoRR, 2025)