Ethan Fetaya - RankMe

103 papers A* 25A 8Misc 1Journal 61Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial Attacks in Weight-Space Classifiers. Trans. Mach. Learn. Res. Tamir Shor, Ethan Fetaya, Chaim Baskin, Alex M. Bronstein
2026	J	`jnl`	Are Audio-Language Models Listening? Audio-Specialist Heads for Adaptive Audio Steering. CoRR Neta Glazer, Lenny Aharon, Ethan Fetaya
2026	A*	`conf`	Beyond Transcription: Mechanistic Interpretability in ASR. AAAI Neta Glazer, Yael Segal-Feldman, Hilit Segev, Aviv Shamsian, Asaf Buchnick, Gill Hetz, Ethan Fetaya, Joseph Keshet, Aviv Navon
2026	J	`jnl`	LR-DWM: Efficient Watermarking for Diffusion Language Models. CoRR Ofek Raban, Ethan Fetaya, Gal Chechik
2026	J	`jnl`	SSNAPS: Audio-Visual Separation of Speech and Background Noise with Diffusion Inverse Sampling. CoRR Yochai Yemini, Yoav Ellinson, Rami Ben-Ari, Sharon Gannot, Ethan Fetaya
2025	J	`jnl`	Adversarial Robustness in Parameter-Space Classifiers. CoRR Tamir Shor, Ethan Fetaya, Chaim Baskin, Alexander M. Bronstein
2025	J	`jnl`	Beyond Transcription: Mechanistic Interpretability in ASR. CoRR Neta Glazer, Yael Segal-Feldman, Hilit Segev, Aviv Shamsian, Asaf Buchnick, Gill Hetz, Ethan Fetaya, Joseph Keshet, Aviv Navon
2025	J	`jnl`	Can Modern Vision Models Understand the Difference Between an Object and a Look-alike? CoRR Itay Cohen, Ethan Fetaya, Amir Rosenfeld
2025	—	`conf`	Conformal Prediction of Classifiers with Many Classes based on Noisy Labels. COPA Coby Penso, Jacob Goldberger, Ethan Fetaya
2025	J	`jnl`	Diffusion-Based Unsupervised Audio-Visual Speech Separation in Noisy Environments with Noise Prior. CoRR Yochai Yemini, Rami Ben-Ari, Sharon Gannot, Ethan Fetaya
2025	J	`jnl`	Drax: Speech Recognition with Discrete Flow Matching. CoRR Aviv Navon, Aviv Shamsian, Neta Glazer, Yael Segal-Feldman, Gill Hetz, Joseph Keshet, Ethan Fetaya
2025	J	`jnl`	Estimating the Conformal Prediction Threshold from Noisy Labels. CoRR Coby Penso, Jacob Goldberger, Ethan Fetaya
2025	J	`jnl`	Expert Merging in Sparse Mixture of Experts with Nash Bargaining. CoRR Dung V. Nguyen, Anh T. Nguyen, Minh H. Nguyen, Luc Q. Nguyen, Shiqi Jiang, Ethan Fetaya, Linh Duy Tran, Gal Chechik, Tan M. Nguyen
2025	A	`conf`	Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes. INTERSPEECH Neta Glazer, David Chernin, Idan Achituve, Sharon Gannot, Ethan Fetaya
2025	J	`jnl`	Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes. CoRR Neta Glazer, David Chernin, Idan Achituve, Sharon Gannot, Ethan Fetaya
2025	J	`jnl`	From Segments to Concepts: Interpretable Image Classification via Concept-Guided Segmentation. CoRR Ran Eisenberg, Amit Rozner, Ethan Fetaya, Ofir Lindenbaum
2025	J	`jnl`	Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization. CoRR Aviv Shamsian, Eitan Shaar, Aviv Navon, Gal Chechik, Ethan Fetaya
2025	A*	`conf`	Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo. ICML Idan Achituve, Hai Victor Habi, Amir Rosenfeld, Arnon Netzer, Idit Diamant, Ethan Fetaya
2025	J	`jnl`	Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo. CoRR Idan Achituve, Hai Victor Habi, Amir Rosenfeld, Arnon Netzer, Idit Diamant, Ethan Fetaya
2025	J	`jnl`	Questioning the Stability of Visual Question Answering. CoRR Amir Rosenfeld, Neta Glazer, Ethan Fetaya
2024	A*	`conf`	Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning. ICML Idan Achituve, Idit Diamant, Arnon Netzer, Gal Chechik, Ethan Fetaya
2024	J	`jnl`	Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning. CoRR Idan Achituve, Idit Diamant, Arnon Netzer, Gal Chechik, Ethan Fetaya
2024	A*	`conf`	Equivariant Deep Weight Space Alignment. ICML Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Nadav Dym, Haggai Maron
2024	J	`jnl`	Evaluation Metrics for Generative Models: An Empirical Study. Mach. Learn. Knowl. Extr. Eyal Betzalel, Coby Penso, Ethan Fetaya
2024	A*	`conf`	Improved Generalization of Weight Space Networks via Augmentations. ICML Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron
2024	J	`jnl`	Improved Generalization of Weight Space Networks via Augmentations. CoRR Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron
2024	A*	`conf`	LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading. ICLR Yochai Yemini, Aviv Shamsian, Lior Bracha, Sharon Gannot, Ethan Fetaya
2024	—	`conf`	Low-Latency Single-Microphone Speaker Separation with Temporal Convolutional Networks Using Speaker Representations. IWAENC Boris Rubenchik, Elior Hadad, Eli Tzirkel, Ethan Fetaya, Sharon Gannot
2024	J	`jnl`	Multi Task Inverse Reinforcement Learning for Common Sense Reward. CoRR Neta Glazer, Aviv Navon, Aviv Shamsian, Ethan Fetaya
2023	A*	`conf`	Auxiliary Learning as an Asymmetric Bargaining Game. ICML Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
2023	J	`jnl`	Auxiliary Learning as an Asymmetric Bargaining Game. CoRR Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
2023	—	`conf`	Can Stochastic Gradient Langevin Dynamics Provide Differential Privacy for Deep Learning? SaTML Guy Heller, Ethan Fetaya
2023	J	`jnl`	Communication Efficient Distributed Learning Over Wireless Channels. IEEE Signal Process. Lett. Idan Achituve, Wenbo Wang, Ethan Fetaya, Amir Leshem
2023	J	`jnl`	Data Augmentations in Deep Weight Spaces. CoRR Aviv Shamsian, David W. Zhang, Aviv Navon, Yan Zhang, Miltiadis Kofinas, Idan Achituve, Riccardo Valperga, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, Ethan Fetaya, Gal Chechik, Haggai Maron
2023	A	`conf`	DisCLIP: Open-Vocabulary Referring Expression Generation. BMVC Lior Bracha, Eitan Shaar, Aviv Shamsian, Ethan Fetaya, Gal Chechik
2023	J	`jnl`	DisCLIP: Open-Vocabulary Referring Expression Generation. CoRR Lior Bracha, Eitan Shaar, Aviv Shamsian, Ethan Fetaya, Gal Chechik
2023	A*	`conf`	Equivariant Architectures for Learning in Deep Weight Spaces. ICML Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron
2023	J	`jnl`	Equivariant Architectures for Learning in Deep Weight Spaces. CoRR Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron
2023	J	`jnl`	Equivariant Deep Weight Space Alignment. CoRR Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Nadav Dym, Haggai Maron
2023	J	`jnl`	GD-VDM: Generated Depth for better Diffusion-based Video Generation. CoRR Ariel Lapid, Idan Achituve, Lior Bracha, Ethan Fetaya
2023	A	`conf`	Guided Deep Kernel Learning. UAI Idan Achituve, Gal Chechik, Ethan Fetaya
2023	J	`jnl`	Guided Deep Kernel Learning. CoRR Idan Achituve, Gal Chechik, Ethan Fetaya
2023	J	`jnl`	Learning Discrete Weights and Activations Using the Local Reparameterization Trick. CoRR Guy Berger, Aviv Navon, Ethan Fetaya
2023	J	`jnl`	LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading. CoRR Yochai Yemini, Aviv Shamsian, Lior Bracha, Sharon Gannot, Ethan Fetaya
2023	A	`conf`	Object-Centric Open-Vocabulary Image Retrieval with Aggregated Features. BMVC Hila Levi, Guy Heller, Dan Levi, Ethan Fetaya
2023	J	`jnl`	Object-Centric Open-Vocabulary Image-Retrieval with Aggregated Features. CoRR Hila Levi, Guy Heller, Dan Levi, Ethan Fetaya
2022	J	`jnl`	A Study on the Evaluation of Generative Models. CoRR Eyal Betzalel, Coby Penso, Aviv Navon, Ethan Fetaya
2022	J	`jnl`	Communication Efficient Distributed Learning over Wireless Channels. CoRR Idan Achituve, Wenbo Wang, Ethan Fetaya, Amir Leshem
2022	J	`jnl`	Evaluating and Calibrating Uncertainty Prediction in Regression Tasks. Sensors Dan Levi, Liran Gispan, Niv Giladi, Ethan Fetaya
2022	A*	`conf`	Functional Ensemble Distillation. NeurIPS Coby Penso, Idan Achituve, Ethan Fetaya
2022	J	`jnl`	Functional Ensemble Distillation. CoRR Coby Penso, Idan Achituve, Ethan Fetaya
2022	A*	`conf`	Multi-Task Learning as a Bargaining Game. ICML Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
2022	J	`jnl`	Multi-Task Learning as a Bargaining Game. CoRR Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
2021	A*	`conf`	Auxiliary Learning by Implicit Differentiation. ICLR Aviv Navon, Idan Achituve, Haggai Maron, Gal Chechik, Ethan Fetaya
2021	J	`jnl`	Can Stochastic Gradient Langevin Dynamics Provide Differential Privacy for Deep Learning? CoRR Guy Heller, Ethan Fetaya
2021	A*	`conf`	From Local Structures to Size Generalization in Graph Neural Networks. ICML Gilad Yehudai, Ethan Fetaya, Eli A. Meirom, Gal Chechik, Haggai Maron
2021	A*	`conf`	GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning. ICML Idan Achituve, Aviv Navon, Yochai Yemini, Gal Chechik, Ethan Fetaya
2021	J	`jnl`	GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning. CoRR Idan Achituve, Aviv Navon, Yochai Yemini, Gal Chechik, Ethan Fetaya
2021	A*	`conf`	Learning the Pareto Front with Hypernetworks. ICLR Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik
2021	A*	`conf`	On Learning Sets of Symmetric Elements (Extended Abstract). IJCAI Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
2021	A*	`conf`	Personalized Federated Learning With Gaussian Processes. NeurIPS Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya
2021	A*	`conf`	Personalized Federated Learning using Hypernetworks. ICML Aviv Shamsian, Aviv Navon, Ethan Fetaya, Gal Chechik
2021	J	`jnl`	Personalized Federated Learning using Hypernetworks. CoRR Aviv Shamsian, Aviv Navon, Ethan Fetaya, Gal Chechik
2021	J	`jnl`	Personalized Federated Learning with Gaussian Processes. CoRR Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya
2021	A	`conf`	Scene-Agnostic Multi-Microphone Speech Dereverberation. Interspeech Yochai Yemini, Ethan Fetaya, Haggai Maron, Sharon Gannot
2020	J	`jnl`	Auxiliary Learning by Implicit Differentiation. CoRR Aviv Navon, Idan Achituve, Haggai Maron, Gal Chechik, Ethan Fetaya
2020	J	`jnl`	Learning the Pareto Front with Hypernetworks. CoRR Aviv Navon, Aviv Shamsian, Gal Chechik, Ethan Fetaya
2020	A*	`conf`	On Learning Sets of Symmetric Elements. ICML Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
2020	J	`jnl`	On Learning Sets of Symmetric Elements. CoRR Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
2020	J	`jnl`	On Size Generalization in Graph Neural Networks. CoRR Gilad Yehudai, Ethan Fetaya, Eli A. Meirom, Gal Chechik, Haggai Maron
2020	J	`jnl`	Position-Agnostic Multi-Microphone Speech Dereverberation. CoRR Yochai Yemini, Ethan Fetaya, Haggai Maron, Sharon Gannot
2020	J	`jnl`	Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks. CoRR Ethan Fetaya, Yonatan Lifshitz, Elad Aaron, Shai Gordin
2020	J	`jnl`	Restoration of fragmentary Babylonian texts using recurrent neural networks. Proc. Natl. Acad. Sci. USA Ethan Fetaya, Yonatan Lifshitz, Elad Aaron, Shai Gordin
2020	A*	`conf`	Understanding the Limitations of Conditional Generative Models. ICLR Ethan Fetaya, Jörn-Henrik Jacobsen, Will Grathwohl, Richard S. Zemel
2019	J	`jnl`	Conditional Generative Models are not Robust. CoRR Ethan Fetaya, Jörn-Henrik Jacobsen, Richard S. Zemel
2019	J	`jnl`	Evaluating and Calibrating Uncertainty Prediction in Regression Tasks. CoRR Dan Levi, Liran Gispan, Niv Giladi, Ethan Fetaya
2019	A*	`conf`	Incremental Few-Shot Learning with Attention Attractor Networks. NeurIPS Mengye Ren, Renjie Liao, Ethan Fetaya, Richard S. Zemel
2019	Misc	`conf`	Inference in Probabilistic Graphical Models by Graph Neural Networks. ACSSC KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
2019	A*	`conf`	On the Universality of Invariant Networks. ICML Haggai Maron, Ethan Fetaya, Nimrod Segol, Yaron Lipman
2019	J	`jnl`	On the Universality of Invariant Networks. CoRR Haggai Maron, Ethan Fetaya, Nimrod Segol, Yaron Lipman
2018	J	`jnl`	Incremental Few-Shot Learning with Attention Attractor Networks. CoRR Mengye Ren, Renjie Liao, Ethan Fetaya, Richard S. Zemel
2018	J	`jnl`	Inference in Probabilistic Graphical Models by Graph Neural Networks. CoRR KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
2018	—	`conf`	Inference in probabilistic graphical models by Graph Neural Networks. ICLR (Workshop) KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
2018	—	`conf`	Learning Discrete Weights Using the Local Reparameterization Trick. ICLR (Poster) Oran Shayer, Dan Levi, Ethan Fetaya
2018	—	`conf`	Leveraging Constraint Logic Programming for Neural Guided Program Synthesis. ICLR (Workshop) Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William E. Byrd, Raquel Urtasun, Richard S. Zemel
2018	A*	`conf`	Neural Guided Constraint Logic Programming for Program Synthesis. NeurIPS Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William E. Byrd, Matthew Might, Raquel Urtasun, Richard S. Zemel
2018	J	`jnl`	Neural Guided Constraint Logic Programming for Program Synthesis. CoRR Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William E. Byrd, Matthew Might, Raquel Urtasun, Richard S. Zemel
2018	A*	`conf`	Neural Relational Inference for Interacting Systems. ICML Thomas N. Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard S. Zemel
2018	J	`jnl`	Neural Relational Inference for Interacting Systems. CoRR Thomas N. Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard S. Zemel
2018	A*	`conf`	Reviving and Improving Recurrent Back-Propagation. ICML Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel
2018	J	`jnl`	Reviving and Improving Recurrent Back-Propagation. CoRR Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel
2017	J	`jnl`	Learning Discrete Weights Using the Local Reparameterization Trick. CoRR Oran Shayer, Dan Levi, Ethan Fetaya
2017	—	`conf`	Real-Time Category-Based and General Obstacle Detection for Autonomous Driving. ICCV Workshops Noa Garnett, Shai Silberstein, Shaul Oron, Ethan Fetaya, Uri Verner, Ariel Ayash, Vlad Goldner, Rafi Cohen, Kobi Horn, Dan Levi
2016	—	`conf`	Human Pose Estimation Using Deep Consensus Voting. ECCV (2) Ita Lifshitz, Ethan Fetaya, Shimon Ullman
2016	J	`jnl`	Human Pose Estimation using Deep Consensus Voting. CoRR Ita Lifshitz, Ethan Fetaya, Shimon Ullman
2016	A	`conf`	Unsupervised Ensemble Learning with Dependent Classifiers. AISTATS Ariel Jaffe, Ethan Fetaya, Boaz Nadler, Tingting Jiang, Yuval Kluger
2015	A	`conf`	Graph Approximation and Clustering on a Budget. AISTATS Ethan Fetaya, Ohad Shamir, Shimon Ullman
2015	A*	`conf`	Learning Local Invariant Mahalanobis Distances. ICML Ethan Fetaya, Shimon Ullman
2015	J	`jnl`	Learning Local Invariant Mahalanobis Distances. CoRR Ethan Fetaya, Shimon Ullman
2015	A	`conf`	StixelNet: A Deep Convolutional Network for Obstacle Detection and Road Segmentation. BMVC Dan Levi, Noa Garnett, Ethan Fetaya
2015	J	`jnl`	Unsupervised Ensemble Learning with Dependent Classifiers. CoRR Ariel Jaffe, Ethan Fetaya, Boaz Nadler, Tingting Jiang, Yuval Kluger
2014	J	`jnl`	Graph Approximation and Clustering on a Budget. CoRR Ethan Fetaya, Ohad Shamir, Shimon Ullman
2011	J	`jnl`	Homological Error Correcting Codes and Systolic Geometry CoRR Ethan Fetaya