Elad Eban

According to our database, Elad Eban authored at least 21 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models.

Xiaofang Wang, Dan Kondratyuk, Eric Christiansen, Kris M. Kitani, Yair Movshovitz-Attias, Elad Eban

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Multiple Networks are More Efficient than One: Fast and Accurate Models via Ensembles and Cascades.

Xiaofang Wang, Dan Kondratyuk, Kris M. Kitani, Yair Movshovitz-Attias, Elad Eban

CoRR, 2020

Neighbourhood Distillation: On the benefits of non end-to-end distillation.

Laëtitia Shao, Max Moroz, Elad Eban, Yair Movshovitz-Attias

CoRR, 2020

Fine-Grained Stochastic Architecture Search.

Shraman Ray Chaudhuri, Elad Eban, Hanhan Li, Max Moroz, Yair Movshovitz-Attias

CoRR, 2020

Sky Optimization: Semantically aware image processing of skies in low-light photography.

Orly Liba, Yair Movshovitz-Attias, Longqi Cai, Yael Pritch, Yun-Ta Tsai, Huizhong Chen, Elad Eban, Jonathan T. Barron

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Structured Multi-Hashing for Model Compression.

Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon, Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Computationally Efficient Neural Image Compression.

Nick Johnston, Elad Eban, Ariel Gordon, Johannes Ballé

CoRR, 2019

2018

Seq2Slate: Re-ranking and Slate Optimization with RNNs.

Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Huai-hsin Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi

CoRR, 2018

Constrained Classification and Ranking via Quantiles.

Alan Mackey, Xiyang Luo, Elad Eban

CoRR, 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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks.

Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Tien-Ju Yang, Edward Choi

CoRR, 2017

Scalable Learning of Non-Decomposable Objectives.

Elad Eban, Mariano Schain, Alan Mackey, Ariel Gordon, Ryan Rifkin, Gal Elidan

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Robust Learning for Classification and Time Series (שער נוסף בעברית: למידה חסינה עבור מסווגים וסדרות עתיות.).

Elad Eban

PhD thesis, 2016

Large-scale Learning With Global Non-Decomposable Objectives.

Elad Eban, Mariano Schain, Ariel Gordon, Rif Saurous, Gal Elidan

CoRR, 2016

Improper Deep Kernels.

Uri Heinemann, Roi Livni, Elad Eban, Gal Elidan, Amir Globerson

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2014

Structured Proportional Jump Processes.

Tal El-Hay, Omer Weissbrod, Elad Eban, Maurizio Zazzi, Francesca Incardona

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Discrete Chebyshev Classifiers.

Elad Eban, Elad Mezuman, Amir Globerson

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Learning Max-Margin Tree Predictors.

Ofer Meshi, Elad Eban, Gal Elidan, Amir Globerson

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Dynamic Copula Networks for Modeling Real-valued Time Series.

Elad Eban, Gideon Rothschild, Adi Mizrahi, Israel Nelken, Gal Elidan

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Learning the Experts for Online Sequence Prediction.

Elad Eban, Aharon Birnbaum, Shai Shalev-Shwartz, Amir Globerson

Proceedings of the 29th International Conference on Machine Learning, 2012

2010

Interactive Proofs For Quantum Computations.

Dorit Aharonov, Michael Ben-Or, Elad Eban

Proceedings of the Innovations in Computer Science, 2010