Large-scale Learning With Global Non-Decomposable Objectives. - Elad Eban; Mariano Schain; Ariel Gordon; Rif Saurous; Gal Elidan (CoRR, 2016)

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

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. - Ariel Gordon; Elad Eban; Ofir Nachum; Bo Chen 019; Tien-Ju Yang; Edward Choi (CoRR, 2017)

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. - Ariel Gordon; Elad Eban; Ofir Nachum; Bo Chen 019; Hao Wu; Tien-Ju Yang; Edward Choi (CVPR, 2018)

Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras. - Ariel Gordon; Hanhan Li; Rico Jonschkowski; Anelia Angelova (ICCV, 2019)

Large-Scale Training Framework for Video Annotation. - Seong Jae Hwang; Joonseok Lee; Balakrishnan Varadarajan; Ariel Gordon; Zheng Xu; Apostol Natsev (KDD, 2019)

Computationally Efficient Neural Image Compression. - Nick Johnston; Elad Eban; Ariel Gordon; Johannes Ballé (CoRR, 2019)

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

What Matters in Unsupervised Optical Flow. - Rico Jonschkowski; Austin Stone; Jonathan T. Barron; Ariel Gordon; Kurt Konolige; Anelia Angelova (ECCV (2), 2020)

Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos. - Ankita Pasad; Ariel Gordon; Tsung-Yi Lin; Anelia Angelova (CoRR, 2020)

Detecting Deficient Coverage in Colonoscopies. - Daniel Freedman; Yochai Blau; Liran Katzir 001; Amit Aides; Ilan Shimshoni; Danny Veikherman; Tomer Golany; Ariel Gordon; Greg Corrado; Yossi Matias; Ehud Rivlin (IEEE Trans. Medical Imaging, 2020)

Taskology: Utilizing Task Relations at Scale. - Yao Lu 006; Sören Pirk; Jan Dlabal; Anthony Brohan; Ankita Pasad; Zhao Chen; Vincent Casser; Anelia Angelova; Ariel Gordon (CVPR, 2021)