Cohen, Itay ; Fetaya, Ethan ; Rosenfeld, Amir. / Can Modern Vision Models Understand the Difference Between an Object and a Look-Alike?. ב-: AI (Switzerland). 2026 ; כרך 7, מס' 4.
Glazer, Neta ; Segal-Feldman, Yael ; Segev, Hilit et al. / Beyond Transcription : Mechanistic Interpretability in ASR. Proceedings of the AAAI Conference on Artificial Intelligence. עורך / Sven Koenig ; Chad Jenkins ; Matthew E. Taylor. 44. מהדורה Association for the Advancement of Artificial Intelligence, 2026. עמודים 37407-37416 (Proceedings of the AAAI Conference on Artificial Intelligence; 44).
Penso, Coby ; Goldberger, Jacob ; Fetaya, Ethan. / Conformal Prediction of Classifiers with Many Classes based on Noisy Labels. ב-: Proceedings of Machine Learning Research. 2025 ; כרך 266. עמודים 82-95.
Achituve, Idan ; Habi, Hai Victor ; Rosenfeld, Amir et al. / Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo. ב-: Proceedings of Machine Learning Research. 2025 ; כרך 267.
Glazer, Neta ; Chernin, David ; Achituve, Idan et al. / Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes. ב-: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2025 ; עמודים 2240-2244.
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. עמודים 155-159 (2024 18th International Workshop on Acoustic Signal Enhancement, IWAENC 2024 - Proceedings).
Shamsian, Aviv ; Navon, Aviv ; Zhang, David W. et al. / Improved Generalization of Weight Space Networks via Augmentations. ב-: Proceedings of Machine Learning Research. 2024 ; כרך 235. עמודים 44378-44393.
Betzalel, Eyal ; Penso, Coby ; Fetaya, Ethan. / Evaluation Metrics for Generative Models: An Empirical Study : An Empirical Study. ב-: Machine Learning and Knowledge Extraction. 2024 ; כרך 6, מס' 3. עמודים 1531-1544.
Levi, Hila ; Heller, Guy ; Levi, Dan et al. / Object-Centric Open-Vocabulary Image Retrieval with Aggregated Features. המאמר מוצג ב- 34th British Machine Vision Conference, BMVC 2023, Aberdeen, בריטניה.
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. עמודים 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. עורך / S. Koyejo ; S. Mohamed ; A. Agarwal ; D. Belgrave ; K. Cho ; A. Oh. Neural information processing systems foundation, 2022. (Advances in Neural Information Processing Systems).
Navon, Aviv ; Achituve, Idan ; Maron, Haggai et al. / AUXILIARY LEARNING BY IMPLICIT DIFFERENTIATION. המאמר מוצג ב- 9th International Conference on Learning Representations, ICLR 2021, Virtual, Online, אוסטריה.
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. עורך / Zhi-Hua Zhou. International Joint Conferences on Artificial Intelligence, 2021. עמודים 4794-4798 (IJCAI International Joint Conference on Artificial Intelligence).
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. עמודים 11975-11986 (Proceedings of Machine Learning Research).
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. עמודים 54-65 (Proceedings of Machine Learning Research).
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. עמודים 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. המאמר מוצג ב- 9th International Conference on Learning Representations, ICLR 2021, Virtual, Online, אוסטריה.
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. עמודים 9489-9502 (Proceedings of Machine Learning Research).
Maron, Haggai ; Litany, Or ; Chechik, Gal et al. / On learning sets of symmetric elements. 37th International Conference on Machine Learning, ICML 2020. עורך / Hal Daume ; Aarti Singh. International Machine Learning Society (IMLS), 2020. עמודים 6690-6700 (37th International Conference on Machine Learning, ICML 2020).
Maron, Haggai ; Litany, Or ; Chechik, Gal et al. / On Learning Sets of Symmetric Elements. ב-: Proceedings of Machine Learning Research. 2020 ; כרך 119.
Fetaya, Ethan ; Jacobsen, Jörn Henrik ; Grathwohl, Will et al. / UNDERSTANDING THE LIMITATIONS OF CONDITIONAL GENERATIVE MODELS. המאמר מוצג ב- 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, אתיופיה.
Fetaya, Ethan ; Lifshitz, Yonatan ; Aaron, Elad et al. / Restoration of fragmentary Babylonian texts using recurrent neural networks. ב-: Proceedings of the National Academy of Sciences of the United States of America. 2020 ; כרך 117, מס' 37. עמודים 22743-22751.
Yoon, Kijung ; Liao, Renjie ; Xiong, Yuwen et al. / Inference in Probabilistic Graphical Models by Graph Neural Networks. Conference Record of the 53rd Asilomar Conference on Signals, Systems and Computers, ACSSC 2019. עורך / Michael B. Matthews. IEEE Computer Society, 2019. עמודים 868-875 (Conference Record - Asilomar Conference on Signals, Systems and Computers).
Kipf, Thomas ; Fetaya, Ethan ; Wang, Kuan Chieh et al. / Neural relational inference for Interacting systems. 35th International Conference on Machine Learning, ICML 2018. עורך / Jennifer Dy ; Andreas Krause. International Machine Learning Society (IMLS), 2018. עמודים 4209-4225 (35th International Conference on Machine Learning, ICML 2018).
Zhang, Lisa ; Rosenblatt, Gregory ; Fetaya, Ethan et al. / Leveraging constraint logic programming for neural guided program synthesis. המאמר מוצג ב- 6th International Conference on Learning Representations, ICLR 2018, Vancouver, קנדה.
Shayer, Oran ; Levi, Dan ; Fetaya, Ethan. / Learning discrete weights using the local reparameterization trick. המאמר מוצג ב- 6th International Conference on Learning Representations, ICLR 2018, Vancouver, קנדה.
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. עמודים 198-205 (Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017).
Liao, Renjie ; Xiong, Yuwen ; Fetaya, Ethan et al. / Reviving and improving recurrent back-propagation. 35th International Conference on Machine Learning, ICML 2018. עורך / Jennifer Dy ; Andreas Krause. International Machine Learning Society (IMLS), 2018. עמודים 4807-4820 (35th International Conference on Machine Learning, ICML 2018).
Yoon, Ki Jung ; Liao, Renjie ; Xiong, Yuwen et al. / Inference in probabilistic graphical models by graph neural networks. המאמר מוצג ב- 6th International Conference on Learning Representations, ICLR 2018, Vancouver, קנדה.
Jaffe, Ariel ; Fetaya, Ethan ; Nadler, Boaz et al. / Unsupervised ensemble learning with dependent classifiers. המאמר מוצג ב- 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016, Cadiz, ספרד.10 עמוד
Ullman, Shimon ; Assif, Liav ; Fetaya, Ethan et al. / Atoms of recognition in human and computer vision. ב-: Proceedings of the National Academy of Sciences of the United States of America. 2016 ; כרך 113, מס' 10. עמודים 2744-2749.
Lifshitz, Ita ; Fetaya, Ethan ; Ullman, Shimon. / Human pose estimation using deep consensus voting. Computer Vision - 14th European Conference, ECCV 2016, Proceedings. עורך / Bastian Leibe ; Nicu Sebe ; Max Welling ; Jiri Matas. Springer Verlag, 2016. עמודים 246-260 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Fetaya, Ethan ; Ullman, Shimon. / Learning local invariant mahalanobis distances. 32nd International Conference on Machine Learning, ICML 2015. עורך / Francis Bach ; David Blei. International Machine Learning Society (IMLS), 2015. עמודים 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. המאמר מוצג ב- 26th British Machine Vision Conference, BMVC 2015, Swansea, בריטניה.9822 עמוד
