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2020 – today
- 2024
[c11]Aviv Navon, Aviv Shamsian, Neta Glazer, Gill Hetz, Joseph Keshet:
Open-Vocabulary Keyword-Spotting with Adaptive Instance Normalization. ICASSP 2024: 11656-11660- [c10]Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Nadav Dym, Haggai Maron:
Equivariant Deep Weight Space Alignment. ICML 2024 - [c9]Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron:
Improved Generalization of Weight Space Networks via Augmentations. ICML 2024 - [i19]Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron:
Improved Generalization of Weight Space Networks via Augmentations. CoRR abs/2402.04081 (2024) - [i18]Neta Glazer, Aviv Navon, Aviv Shamsian, Ethan Fetaya:
Multi Task Inverse Reinforcement Learning for Common Sense Reward. CoRR abs/2402.11367 (2024) - [i17]Aviv Shamsian, Aviv Navon, Neta Glazer, Gill Hetz, Joseph Keshet:
Keyword-Guided Adaptation of Automatic Speech Recognition. CoRR abs/2406.02649 (2024) - [i16]Gil Ayache, Menachem Pirchi, Aviv Navon, Aviv Shamsian, Gill Hetz, Joseph Keshet:
WhisperNER: Unified Open Named Entity and Speech Recognition. CoRR abs/2409.08107 (2024) - [i15]Yael Segal-Feldman, Aviv Shamsian, Aviv Navon, Gill Hetz, Joseph Keshet:
Whisper in Medusa's Ear: Multi-head Efficient Decoding for Transformer-based ASR. CoRR abs/2409.15869 (2024) - 2023
- [c8]Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron:
Equivariant Architectures for Learning in Deep Weight Spaces. ICML 2023: 25790-25816 - [c7]Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya:
Auxiliary Learning as an Asymmetric Bargaining Game. ICML 2023: 30689-30705 - [i14]Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron:
Equivariant Architectures for Learning in Deep Weight Spaces. CoRR abs/2301.12780 (2023) - [i13]Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya:
Auxiliary Learning as an Asymmetric Bargaining Game. CoRR abs/2301.13501 (2023) - [i12]Guy Berger, Aviv Navon, Ethan Fetaya:
Learning Discrete Weights and Activations Using the Local Reparameterization Trick. CoRR abs/2307.01683 (2023) - [i11]Aviv Navon, Aviv Shamsian, Neta Glazer, Gill Hetz, Joseph Keshet:
Open-vocabulary Keyword-spotting with Adaptive Instance Normalization. CoRR abs/2309.08561 (2023) - [i10]Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Nadav Dym, Haggai Maron:
Equivariant Deep Weight Space Alignment. CoRR abs/2310.13397 (2023) - [i9]Daniel Eitan, Menachem Pirchi, Neta Glazer, Shai Meital, Gil Ayache, Gidon Krendel, Aviv Shamsian, Aviv Navon, Gill Hetz, Joseph Keshet:
Combining Language Models For Specialized Domains: A Colorful Approach. CoRR abs/2310.19708 (2023) - [i8]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:
Data Augmentations in Deep Weight Spaces. CoRR abs/2311.08851 (2023) - 2022
- [c6]Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya:
Multi-Task Learning as a Bargaining Game. ICML 2022: 16428-16446 - [i7]Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya:
Multi-Task Learning as a Bargaining Game. CoRR abs/2202.01017 (2022) - [i6]Eyal Betzalel, Coby Penso, Aviv Navon, Ethan Fetaya:
A Study on the Evaluation of Generative Models. CoRR abs/2206.10935 (2022) - 2021
- [c5]Aviv Navon, Idan Achituve, Haggai Maron, Gal Chechik, Ethan Fetaya:
Auxiliary Learning by Implicit Differentiation. ICLR 2021 - [c4]Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik:
Learning the Pareto Front with Hypernetworks. ICLR 2021 - [c3]Idan Achituve, Aviv Navon, Yochai Yemini, Gal Chechik, Ethan Fetaya:
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning. ICML 2021: 54-65 - [c2]Aviv Shamsian, Aviv Navon, Ethan Fetaya, Gal Chechik:
Personalized Federated Learning using Hypernetworks. ICML 2021: 9489-9502 - [c1]Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya:
Personalized Federated Learning With Gaussian Processes. NeurIPS 2021: 8392-8406 - [i5]Idan Achituve, Aviv Navon, Yochai Yemini, Gal Chechik, Ethan Fetaya:
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning. CoRR abs/2102.07868 (2021) - [i4]Aviv Shamsian, Aviv Navon, Ethan Fetaya, Gal Chechik:
Personalized Federated Learning using Hypernetworks. CoRR abs/2103.04628 (2021) - [i3]Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya:
Personalized Federated Learning with Gaussian Processes. CoRR abs/2106.15482 (2021) - 2020
- [i2]Aviv Navon, Idan Achituve, Haggai Maron, Gal Chechik, Ethan Fetaya:
Auxiliary Learning by Implicit Differentiation. CoRR abs/2007.02693 (2020) - [i1]Aviv Navon, Aviv Shamsian, Gal Chechik, Ethan Fetaya:
Learning the Pareto Front with Hypernetworks. CoRR abs/2010.04104 (2020)
Coauthor Index
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last updated on 2024-10-22 21:16 CEST by the dblp team
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