Elad Eban

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 16

Top Topics

Pairwise Classification

Accurate Models

Low Light Conditions

Structure Learning

Top Venues

Publications

Xiaofang Wang, Dan Kondratyuk, Eric Christiansen, Kris M. Kitani, Yair Movshovitz-Attias, Elad Eban
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models. ICLR (2022)
Xiaofang Wang, Dan Kondratyuk, Kris M. Kitani, Yair Movshovitz-Attias, Elad Eban
Multiple Networks are More Efficient than One: Fast and Accurate Models via Ensembles and Cascades. CoRR (2020)
Orly Liba, Yair Movshovitz-Attias, Longqi Cai, Yael Pritch, Yun-Ta Tsai, Huizhong Chen, Elad Eban, Jonathan T. Barron
Sky Optimization: Semantically aware image processing of skies in low-light photography. CVPR Workshops (2020)
Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon, Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán
Structured Multi-Hashing for Model Compression. CVPR (2020)
Orly Liba, Longqi Cai, Yun-Ta Tsai, Elad Eban, Yair Movshovitz-Attias, Yael Pritch, Huizhong Chen, Jonathan T. Barron
Sky Optimization: Semantically aware image processing of skies in low-light photography. CoRR (2020)
Shraman Ray Chaudhuri, Elad Eban, Hanhan Li, Max Moroz, Yair Movshovitz-Attias
Fine-Grained Stochastic Architecture Search. CoRR (2020)
Laëtitia Shao, Max Moroz, Elad Eban, Yair Movshovitz-Attias
Neighbourhood Distillation: On the benefits of non end-to-end distillation. CoRR (2020)
Nick Johnston, Elad Eban, Ariel Gordon, Johannes Ballé
Computationally Efficient Neural Image Compression. CoRR (2019)
Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon, Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán
Structured Multi-Hashing for Model Compression. CoRR (2019)
Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang, Edward Choi
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. CVPR (2018)
Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Huai-hsin Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi
Seq2Slate: Re-ranking and Slate Optimization with RNNs. CoRR (2018)
Alan Mackey, Xiyang Luo, Elad Eban
Constrained Classification and Ranking via Quantiles. CoRR (2018)
Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Tien-Ju Yang, Edward Choi
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. CoRR (2017)
Elad Eban, Mariano Schain, Alan Mackey, Ariel Gordon, Ryan Rifkin, Gal Elidan
Scalable Learning of Non-Decomposable Objectives. AISTATS (2017)
Uri Heinemann, Roi Livni, Elad Eban, Gal Elidan, Amir Globerson
Improper Deep Kernels. AISTATS (2016)
Elad Eban, Mariano Schain, Ariel Gordon, Rif Saurous, Gal Elidan
Large-scale Learning With Global Non-Decomposable Objectives. CoRR (2016)
Tal El-Hay, Omer Weissbrod, Elad Eban, Maurizio Zazzi, Francesca Incardona
Structured Proportional Jump Processes. UAI (2014)
Elad Eban, Elad Mezuman, Amir Globerson
Discrete Chebyshev Classifiers. ICML (2014)
Ofer Meshi, Elad Eban, Gal Elidan, Amir Globerson
Learning Max-Margin Tree Predictors. CoRR (2013)
Ofer Meshi, Elad Eban, Gal Elidan, Amir Globerson
Learning Max-Margin Tree Predictors. UAI (2013)
Elad Eban, Gideon Rothschild, Adi Mizrahi, Israel Nelken, Gal Elidan
Dynamic Copula Networks for Modeling Real-valued Time Series. AISTATS (2013)
Elad Eban, Aharon Birnbaum, Shai Shalev-Shwartz, Amir Globerson
Learning the Experts for Online Sequence Prediction. ICML (2012)
Elad Eban, Aharon Birnbaum, Shai Shalev-Shwartz, Amir Globerson
Learning the Experts for Online Sequence Prediction CoRR (2012)
Dorit Aharonov, Michael Ben-Or, Elad Eban
Interactive Proofs For Quantum Computations. ICS (2010)