Ethan Fetaya
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
11
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Beyond Transcription: Mechanistic Interpretability in ASR. | Neta Glazer, Yael Segal-Feldman, Hilit Segev, Aviv Shamsian, Asaf Buchnick, Gill Hetz, Ethan Fetaya, Joseph Keshet, Aviv Navon |
| 2026 | ACL | LR-DWM: Efficient Watermarking for Diffusion Language Models. | Ofek Raban, Gal Chechik, Ethan Fetaya |
| 2025 | ICML | Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo. | Idan Achituve, Hai Victor Habi, Amir Rosenfeld, Arnon Netzer, Idit Diamant, Ethan Fetaya |
| 2025 | Interspeech | Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes. | Neta Glazer, David Chernin, Idan Achituve, Sharon Gannot, Ethan Fetaya |
| 2024 | ICLR | LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading. | Yochai Yemini, Aviv Shamsian, Lior Bracha, Sharon Gannot, Ethan Fetaya |
| 2024 | ICML | Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning. | Idan Achituve, Idit Diamant, Arnon Netzer, Gal Chechik, Ethan Fetaya |
| 2024 | ICML | Equivariant Deep Weight Space Alignment. | Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Nadav Dym, Haggai Maron |
| 2024 | ICML | Improved Generalization of Weight Space Networks via Augmentations. | Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron |
| 2023 | BMVC | DisCLIP: Open-Vocabulary Referring Expression Generation. | Lior Bracha, Eitan Shaar, Aviv Shamsian, Ethan Fetaya, Gal Chechik |
| 2023 | BMVC | Object-Centric Open-Vocabulary Image Retrieval with Aggregated Features. | Hila Levi, Guy Heller, Dan Levi, Ethan Fetaya |
| 2023 | ICML | Equivariant Architectures for Learning in Deep Weight Spaces. | Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron |
| 2023 | ICML | Auxiliary Learning as an Asymmetric Bargaining Game. | Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya |
| 2023 | UAI | Guided Deep Kernel Learning. | Idan Achituve, Gal Chechik, Ethan Fetaya |
| 2022 | ICML | Multi-Task Learning as a Bargaining Game. | Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya |
| 2021 | ICLR | Auxiliary Learning by Implicit Differentiation. | Aviv Navon, Idan Achituve, Haggai Maron, Gal Chechik, Ethan Fetaya |
| 2021 | ICLR | Learning the Pareto Front with Hypernetworks. | Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik |
| 2021 | ICML | GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning. | Idan Achituve, Aviv Navon, Yochai Yemini, Gal Chechik, Ethan Fetaya |
| 2021 | ICML | Personalized Federated Learning using Hypernetworks. | Aviv Shamsian, Aviv Navon, Ethan Fetaya, Gal Chechik |
| 2021 | ICML | From Local Structures to Size Generalization in Graph Neural Networks. | Gilad Yehudai, Ethan Fetaya, Eli A. Meirom, Gal Chechik, Haggai Maron |
| 2021 | IJCAI | On Learning Sets of Symmetric Elements (Extended Abstract). | Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya |
| 2021 | Interspeech | Scene-Agnostic Multi-Microphone Speech Dereverberation. | Yochai Yemini, Ethan Fetaya, Haggai Maron, Sharon Gannot |
| 2020 | ICLR | Understanding the Limitations of Conditional Generative Models. | Ethan Fetaya, Jrn-Henrik Jacobsen, Will Grathwohl, Richard S. Zemel |
| 2020 | ICML | On Learning Sets of Symmetric Elements. | Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya |
| 2019 | ACSSC | Inference in Probabilistic Graphical Models by Graph Neural Networks. | KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow |
| 2019 | ICML | On the Universality of Invariant Networks. | Haggai Maron, Ethan Fetaya, Nimrod Segol, Yaron Lipman |
| 2018 | ICLR | Learning Discrete Weights Using the Local Reparameterization Trick. | Oran Shayer, Dan Levi, Ethan Fetaya |
| 2018 | ICLR | Inference in probabilistic graphical models by Graph Neural Networks. | KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow |
| 2018 | ICLR | Leveraging Constraint Logic Programming for Neural Guided Program Synthesis. | Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William E. Byrd, Raquel Urtasun, Richard S. Zemel |
| 2018 | ICML | Neural Relational Inference for Interacting Systems. | Thomas N. Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard S. Zemel |
| 2018 | ICML | Reviving and Improving Recurrent Back-Propagation. | Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel |
| 2016 | AISTATS | Unsupervised Ensemble Learning with Dependent Classifiers. | Ariel Jaffe, Ethan Fetaya, Boaz Nadler, Tingting Jiang, Yuval Kluger |
| 2016 | ECCV | Human Pose Estimation Using Deep Consensus Voting. | Ita Lifshitz, Ethan Fetaya, Shimon Ullman |
| 2015 | AISTATS | Graph Approximation and Clustering on a Budget. | Ethan Fetaya, Ohad Shamir, Shimon Ullman |
| 2015 | BMVC | StixelNet: A Deep Convolutional Network for Obstacle Detection and Road Segmentation. | Dan Levi, Noa Garnett, Ethan Fetaya |
| 2015 | ICML | Learning Local Invariant Mahalanobis Distances. | Ethan Fetaya, Shimon Ullman |