Uri Shaham

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 32

Top Topics

Unsupervised Feature Selection

Top Venues

Pattern Recognit.

Publications

Maor Ivgi, Uri Shaham, Jonathan Berant
Efficient Long-Text Understanding with Short-Text Models. CoRR (2022)
Or Honovich, Uri Shaham, Samuel R. Bowman, Omer Levy
Instruction Induction: From Few Examples to Natural Language Task Descriptions. CoRR (2022)
Uri Shaham, Omer Levy
What Do You Get When You Cross Beam Search with Nucleus Sampling? Insights@ACL (2022)
Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, Omer Levy
SCROLLS: Standardized CompaRison Over Long Language Sequences. CoRR (2022)
Uri Shaham, Ofir Lindenbaum, Jonathan Svirsky, Yuval Kluger
Deep unsupervised feature selection by discarding nuisance and correlated features. Neural Networks 152 (2022)
Uri Shaham, Omer Levy
What Do You Get When You Cross Beam Search with Nucleus Sampling? CoRR (2021)
Ofir Lindenbaum, Uri Shaham, Erez Peterfreund, Jonathan Svirsky, Nicolas Casey, Yuval Kluger
Differentiable Unsupervised Feature Selection based on a Gated Laplacian. NeurIPS (2021)
Uri Shaham, Ofir Lindenbaum, Jonathan Svirsky, Yuval Kluger
Deep Unsupervised Feature Selection by Discarding Nuisance and Correlated Features. CoRR (2021)
Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon
Single Independent Component Recovery and Applications. CoRR (2021)
Avia Efrat, Uri Shaham, Dan Kilman, Omer Levy
Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language. CoRR (2021)
Uri Shaham, Omer Levy
Neural Machine Translation without Embeddings. NAACL-HLT (2021)
Avia Efrat, Uri Shaham, Dan Kilman, Omer Levy
Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language. EMNLP (1) (2021)
Uri Shaham, Omer Levy
Neural Machine Translation without Embeddings. CoRR (2020)
Uri Shaham, Jonathan Svirsky
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities. CoRR (2020)
Uri Shaham, Tom Zahavy, Cesar Caraballo, Shiwani Mahajan, Daisy Massey, Harlan M. Krumholz
Learning to Ask Medical Questions using Reinforcement Learning. CoRR (2020)
Uri Shaham, Tom Zahavy, Cesar Caraballo, Shiwani Mahajan, Daisy Massey, Harlan M. Krumholz
Learning to Ask Medical Questions using Reinforcement Learning. MLHC (2020)
Ofir Lindenbaum, Uri Shaham, Jonathan Svirsky, Erez Peterfreund, Yuval Kluger
Let the Data Choose its Features: Differentiable Unsupervised Feature Selection. CoRR (2020)
Uri Shaham, Roy R. Lederman
Learning by coincidence: Siamese networks and common variable learning. Pattern Recognit. 74 (2018)
Uri Shaham, Kelly P. Stanton, Henry Li, Boaz Nadler, Ronen Basri, Yuval Kluger
SpectralNet: Spectral Clustering using Deep Neural Networks. CoRR (2018)
Uri Shaham, Kelly P. Stanton, Henry Li, Ronen Basri, Boaz Nadler, Yuval Kluger
SpectralNet: Spectral Clustering using Deep Neural Networks. ICLR (Poster) (2018)
Uri Shaham, James Garritano, Yutaro Yamada, Ethan Weinberger, Alex Cloninger, Xiuyuan Cheng, Kelly P. Stanton, Yuval Kluger
Defending against Adversarial Images using Basis Functions Transformations. CoRR (2018)
Uri Shaham, Yutaro Yamada, Sahand Negahban
Understanding adversarial training: Increasing local stability of supervised models through robust optimization. Neurocomputing 307 (2018)
Benjamin Au, Uri Shaham, Sanket Dhruva, Georgios Bouras, Ecaterina Cristea, Alexandra Lansky, Andreas Coppi, Fred Warner, Shu-Xia Li, Harlan M. Krumholz
Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional Neural Networks. CoRR (2018)
Huamin Li, Uri Shaham, Kelly P. Stanton, Yi Yao, Ruth R. Montgomery, Yuval Kluger
Gating mass cytometry data by deep learning. Bioinform. 33 (21) (2017)
Uri Shaham, Kelly P. Stanton, Jun Zhao, Huamin Li, Khadir Raddassi, Ruth R. Montgomery, Yuval Kluger
Removal of batch effects using distribution-matching residual networks. Bioinform. 33 (16) (2017)
Jared Katzman, Uri Shaham, Alexander Cloninger, Jonathan Bates, Tingting Jiang, Yuval Kluger
Deep Survival: A Deep Cox Proportional Hazards Network. CoRR (2016)
Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph T. Chang, Yuval Kluger
A Deep Learning Approach to Unsupervised Ensemble Learning. CoRR (2016)
Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph T. Chang, Yuval Kluger
A Deep Learning Approach to Unsupervised Ensemble Learning. ICML (2016)
Gal Mishne, Uri Shaham, Alexander Cloninger, Israel Cohen
Diffusion Nets. CoRR (2015)
Uri Shaham, Yutaro Yamada, Sahand Negahban
Understanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization. CoRR (2015)
Uri Shaham, Roy R. Lederman
Common Variable Learning and Invariant Representation Learning using Siamese Neural Networks. CoRR (2015)
Uri Shaham, Alexander Cloninger, Ronald R. Coifman
Provable approximation properties for deep neural networks. CoRR (2015)
Uri Shaham, Yael Edan
Classification using Normalized Compression Distance. Artificial Intelligence and Pattern Recognition (2008)