Keshet, Joseph

15 publications

NeurIPS 2025 Spectral Analysis of Diffusion Models with Application to Schedule Design Roi Benita, Michael Elad, Joseph Keshet

ICLR 2024 DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation Roi Benita, Michael Elad, Joseph Keshet

NeurIPS 2018 Out-of-Distribution Detection Using Multiple Semantic Label Representations Gabi Shalev, Yossi Adi, Joseph Keshet

NeurIPS 2017 Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples Moustapha M Cisse, Yossi Adi, Natalia Neverova, Joseph Keshet

JMLR 2016 StructED: Risk Minimization in Structured Prediction Yossi Adi, Joseph Keshet

NeurIPS 2013 Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions Tamir Hazan, Subhransu Maji, Joseph Keshet, Tommi Jaakkola

IJCAI 2013 Predicting Human Strategic Decisions Using Facial Expressions Noam Peled, Moshe Bitan, Joseph Keshet, Sarit Kraus

NeurIPS 2011 Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss Joseph Keshet, David A. McAllester

NeurIPS 2010 Direct Loss Minimization for Structured Prediction Tamir Hazan, Joseph Keshet, David A. McAllester

JMLR 2009 Bounded Kernel-Based Online Learning Francesco Orabona, Joseph Keshet, Barbara Caputo

NeurIPS 2008 Support Vector Machines with a Reject Option Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu

ICML 2008 The Projectron: A Bounded Kernel-Based Perceptron Francesco Orabona, Joseph Keshet, Barbara Caputo

JMLR 2006 Online Passive-Aggressive Algorithms Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer

ICML 2004 Large Margin Hierarchical Classification Ofer Dekel, Joseph Keshet, Yoram Singer

NeurIPS 2002 Kernel Design Using Boosting Koby Crammer, Joseph Keshet, Yoram Singer