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Ethan Fetaya

31 papers · 2015–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+13 more ↓ πŸ—ΊοΈ Taxonomy Completionist (55) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🌱 Topic Pioneer πŸ‘‘ Triple Crown 🀝 Dynamic Duo (15) 🧬 Topic Evolution πŸ† Keyword Champion (3) πŸ† Grand Slam πŸ”₯ Unstoppable Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (139) ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (5)

Venues

ICML (15) ICLR (5) NeurIPS (4) AISTATS (2) Interspeech (2) AAAI (1) IJCAI (1) UAI (1)

Top co-authors

Gal Chechik (15) Aviv Navon (11) Haggai Maron (10) Idan Achituve (10) Aviv Shamsian (10) Richard Zemel (5) Neta Glazer (3) Yochai Yemini (3) Renjie Liao (3) Sharon Gannot (3)

Research topics

Machine Learning (24) Deep Learning (16) Artificial Intelligence (15) Core Methods (13) Optimization & Theory (10) Architectures (9) Core AI (8) Learning Types (7) Learning Paradigms (6) Mathematics & Optimization (5) Application Areas (5) Models (5) Optimization (4) Computer Vision (3) Speech & Audio (3)

Keywords

multi-task learning (5) graph neural network (4) gaussian process (3) bayesian inference (3) few-shot learning (3) neural network (3) deep kernel learning (3) unsupervised learning (2) set learning (2) diffusion model (2) model compression (2) bargaining game (2) uncertainty estimation (2) automatic speech recognition (2) uncertainty quantification (2) representation learning (2) incremental learning (2) self-supervised learning (2) permutation invariance (2) symmetric element (2)

Papers

Beyond Transcription: Mechanistic Interpretability in ASR AAAI 2026 Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes Interspeech 2025 Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo ICML 2025 Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning ICML 2024 Equivariant Deep Weight Space Alignment ICML 2024 Improved Generalization of Weight Space Networks via Augmentations ICML 2024 LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading ICLR 2024 Auxiliary Learning as an Asymmetric Bargaining Game ICML 2023 Equivariant Architectures for Learning in Deep Weight Spaces ICML 2023 Guided Deep Kernel Learning UAI 2023 Functional Ensemble Distillation NeurIPS 2022 Multi-Task Learning as a Bargaining Game ICML 2022 Auxiliary Learning by Implicit Differentiation ICLR 2021 From Local Structures to Size Generalization in Graph Neural Networks ICML 2021 GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning ICML 2021 Learning the Pareto Front with Hypernetworks ICLR 2021 On Learning Sets of Symmetric Elements (Extended Abstract) IJCAI 2021 Personalized Federated Learning using Hypernetworks ICML 2021 Personalized Federated Learning With Gaussian Processes NeurIPS 2021 Scene-Agnostic Multi-Microphone Speech Dereverberation Interspeech 2021 On Learning Sets of Symmetric Elements ICML 2020 Understanding the Limitations of Conditional Generative Models ICLR 2020 Incremental Few-Shot Learning with Attention Attractor Networks NeurIPS 2019 On the Universality of Invariant Networks ICML 2019 Learning Discrete Weights Using the Local Reparameterization Trick ICLR 2018 Neural Guided Constraint Logic Programming for Program Synthesis NeurIPS 2018 Neural Relational Inference for Interacting Systems ICML 2018 Reviving and Improving Recurrent Back-Propagation ICML 2018 Unsupervised Ensemble Learning with Dependent Classifiers AISTATS 2016 Graph Approximation and Clustering on a Budget AISTATS 2015 Learning Local Invariant Mahalanobis Distances ICML 2015