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Penso, Coby ; Goldberger, Jacob ; Fetaya, Ethan. / Conformal Prediction of Classifiers with Many Classes based on Noisy Labels. In: Proceedings of Machine Learning Research. 2025 ; Vol. 266. pp. 82-95.
Achituve, Idan ; Habi, Hai Victor ; Rosenfeld, Amir et al. / Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo. In: Proceedings of Machine Learning Research. 2025 ; Vol. 267.
Betzalel, Eyal ; Penso, Coby ; Fetaya, Ethan. / Evaluation Metrics for Generative Models: An Empirical Study : An Empirical Study. In: Machine Learning and Knowledge Extraction. 2024 ; Vol. 6, No. 3. pp. 1531-1544.
Shamsian, Aviv ; Navon, Aviv ; Zhang, David W. et al. / Improved Generalization of Weight Space Networks via Augmentations. In: Proceedings of Machine Learning Research. 2024 ; Vol. 235. pp. 44378-44393.
Rubenchik, Boris ; Hadad, Elior ; Tzirkel, Eli et al. / Low-Latency Single-Microphone Speaker Separation with Temporal Convolutional Networks Using Speaker Representations. 2024 18th International Workshop on Acoustic Signal Enhancement, IWAENC 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 155-159 (2024 18th International Workshop on Acoustic Signal Enhancement, IWAENC 2024 - Proceedings).
Heller, Guy ; Fetaya, Ethan. / Can Stochastic Gradient Langevin Dynamics Provide Differential Privacy for Deep Learning?. Proceedings - 2023 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 68-106 (Proceedings - 2023 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2023).
Penso, Coby ; Achituve, Idan ; Fetaya, Ethan. / Functional Ensemble Distillation. Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. editor / S. Koyejo ; S. Mohamed ; A. Agarwal ; D. Belgrave ; K. Cho ; A. Oh. Neural information processing systems foundation, 2022. (Advances in Neural Information Processing Systems).
Yehudai, Gilad ; Fetaya, Ethan ; Meirom, Eli et al. / From Local Structures to Size Generalization in Graph Neural Networks. Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, 2021. pp. 11975-11986 (Proceedings of Machine Learning Research).
Navon, Aviv ; Achituve, Idan ; Maron, Haggai et al. / AUXILIARY LEARNING BY IMPLICIT DIFFERENTIATION. Paper presented at 9th International Conference on Learning Representations, ICLR 2021, Virtual, Online, Austria.
Achituve, Idan ; Navon, Aviv ; Yemini, Yochai et al. / GP-Tree : A Gaussian Process Classifier for Few-Shot Incremental Learning. Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, 2021. pp. 54-65 (Proceedings of Machine Learning Research).
Maron, Haggai ; Litany, Or ; Chechik, Gal et al. / On Learning Sets of Symmetric Elements (Extended Abstract). Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. editor / Zhi-Hua Zhou. International Joint Conferences on Artificial Intelligence, 2021. pp. 4794-4798 (IJCAI International Joint Conference on Artificial Intelligence).
Yemini, Yochai ; Fetaya, Ethan ; Maron, Haggai et al. / Scene-agnostic multi-microphone speech dereverberation. 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021. International Speech Communication Association, 2021. pp. 2453-2457 (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH).
Navon, Aviv ; Shamsian, Aviv ; Fetaya, Ethan et al. / LEARNING THE PARETO FRONT WITH HYPERNETWORKS. Paper presented at 9th International Conference on Learning Representations, ICLR 2021, Virtual, Online, Austria.
Shamsian, Aviv ; Navon, Aviv ; Fetaya, Ethan et al. / Personalized Federated Learning using Hypernetworks. Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, 2021. pp. 9489-9502 (Proceedings of Machine Learning Research).
Fetaya, Ethan ; Lifshitz, Yonatan ; Aaron, Elad et al. / Restoration of fragmentary Babylonian texts using recurrent neural networks. In: Proceedings of the National Academy of Sciences of the United States of America. 2020 ; Vol. 117, No. 37. pp. 22743-22751.
Fetaya, Ethan ; Jacobsen, Jörn Henrik ; Grathwohl, Will et al. / UNDERSTANDING THE LIMITATIONS OF CONDITIONAL GENERATIVE MODELS. Paper presented at 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia.
Maron, Haggai ; Litany, Or ; Chechik, Gal et al. / On learning sets of symmetric elements. 37th International Conference on Machine Learning, ICML 2020. editor / Hal Daume ; Aarti Singh. International Machine Learning Society (IMLS), 2020. pp. 6690-6700 (37th International Conference on Machine Learning, ICML 2020).
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Yoon, Kijung ; Liao, Renjie ; Xiong, Yuwen et al. / Inference in Probabilistic Graphical Models by Graph Neural Networks. Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019. editor / Michael B. Matthews. IEEE Computer Society, 2019. pp. 868-875 (Conference Record - Asilomar Conference on Signals, Systems and Computers).
Maron, Haggai ; Fetaya, Ethan ; Segol, Nimrod et al. / On the Universality of Invariant Networks. In: Proceedings of Machine Learning Research. 2019 ; Vol. 97. pp. 4363-4371.
Shayer, Oran ; Levi, Dan ; Fetaya, Ethan. / Learning discrete weights using the local reparameterization trick. Paper presented at 6th International Conference on Learning Representations, ICLR 2018, Vancouver, Canada.
Yoon, Ki Jung ; Liao, Renjie ; Xiong, Yuwen et al. / Inference in probabilistic graphical models by graph neural networks. Paper presented at 6th International Conference on Learning Representations, ICLR 2018, Vancouver, Canada.
Kipf, Thomas ; Fetaya, Ethan ; Wang, Kuan Chieh et al. / Neural relational inference for Interacting systems. 35th International Conference on Machine Learning, ICML 2018. editor / Jennifer Dy ; Andreas Krause. International Machine Learning Society (IMLS), 2018. pp. 4209-4225 (35th International Conference on Machine Learning, ICML 2018).
Liao, Renjie ; Xiong, Yuwen ; Fetaya, Ethan et al. / Reviving and improving recurrent back-propagation. 35th International Conference on Machine Learning, ICML 2018. editor / Jennifer Dy ; Andreas Krause. International Machine Learning Society (IMLS), 2018. pp. 4807-4820 (35th International Conference on Machine Learning, ICML 2018).
Zhang, Lisa ; Rosenblatt, Gregory ; Fetaya, Ethan et al. / Neural guided constraint logic programming for program synthesis. In: Advances in Neural Information Processing Systems. 2018 ; Vol. 2018-December. pp. 1737-1746.
Zhang, Lisa ; Rosenblatt, Gregory ; Fetaya, Ethan et al. / Leveraging constraint logic programming for neural guided program synthesis. Paper presented at 6th International Conference on Learning Representations, ICLR 2018, Vancouver, Canada.
Garnett, Noa ; Silberstein, Shai ; Oron, Shaul et al. / Real-Time category-based and general obstacle detection for autonomous driving. Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 198-205 (Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017).
Jaffe, Ariel ; Fetaya, Ethan ; Nadler, Boaz et al. / Unsupervised ensemble learning with dependent classifiers. Paper presented at 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016, Cadiz, Spain.10 p.
Lifshitz, Ita ; Fetaya, Ethan ; Ullman, Shimon. / Human pose estimation using deep consensus voting. Computer Vision - 14th European Conference, ECCV 2016, Proceedings. editor / Bastian Leibe ; Nicu Sebe ; Max Welling ; Jiri Matas. Springer Verlag, 2016. pp. 246-260 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Ullman, Shimon ; Assif, Liav ; Fetaya, Ethan et al. / Atoms of recognition in human and computer vision. In: Proceedings of the National Academy of Sciences of the United States of America. 2016 ; Vol. 113, No. 10. pp. 2744-2749.
Fetaya, Ethan ; Ullman, Shimon. / Learning local invariant mahalanobis distances. 32nd International Conference on Machine Learning, ICML 2015. editor / Francis Bach ; David Blei. International Machine Learning Society (IMLS), 2015. pp. 162-168 (32nd International Conference on Machine Learning, ICML 2015).
Levi, Dan ; Garnett, Noa ; Fetaya, Ethan. / StixelNet : A Deep Convolutional Network for Obstacle Detection and Road Segmentation. Paper presented at 26th British Machine Vision Conference, BMVC 2015, Swansea, United Kingdom.9822 p.
