Gordon, Ariel

6 publications

CVPR 2021 Taskology: Utilizing Task Relations at Scale Yao Lu, Soren Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon

CoRL 2020 Unsupervised Monocular Depth Learning in Dynamic Scenes Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova

ECCV 2020 What Matters in Unsupervised Optical Flow Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova

ICCV 2019 Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova

CVPR 2018 MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang, Edward Choi

AISTATS 2017 Scalable Learning of Non-Decomposable Objectives Elad Eban, Mariano Schain, Alan Mackey, Ariel Gordon, Ryan Rifkin, Gal Elidan