Aviv Navon

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 26

Top Topics

Gaussian Process

Top Venues

Publications

Aviv Shamsian, Aviv Navon, Neta Glazer, Gill Hetz, Joseph Keshet
Keyword-Guided Adaptation of Automatic Speech Recognition. CoRR (2024)
Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron
Improved Generalization of Weight Space Networks via Augmentations. CoRR (2024)
Neta Glazer, Aviv Navon, Aviv Shamsian, Ethan Fetaya
Multi Task Inverse Reinforcement Learning for Common Sense Reward. CoRR (2024)
Aviv Navon, Aviv Shamsian, Neta Glazer, Gill Hetz, Joseph Keshet
Open-Vocabulary Keyword-Spotting with Adaptive Instance Normalization. ICASSP (2024)
Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
Auxiliary Learning as an Asymmetric Bargaining Game. CoRR (2023)
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 (2023)
Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
Auxiliary Learning as an Asymmetric Bargaining Game. ICML (2023)
Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron
Equivariant Architectures for Learning in Deep Weight Spaces. ICML (2023)
Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron
Equivariant Architectures for Learning in Deep Weight Spaces. CoRR (2023)
Aviv Navon, Aviv Shamsian, Neta Glazer, Gill Hetz, Joseph Keshet
Open-vocabulary Keyword-spotting with Adaptive Instance Normalization. CoRR (2023)
Daniel Eitan, Menachem Pirchi, Neta Glazer, Shai Meital, Gil Ayach, Gidon Krendel, Aviv Shamsian, Aviv Navon, Gill Hetz, Joseph Keshet
Combining Language Models For Specialized Domains: A Colorful Approach. CoRR (2023)
Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Nadav Dym, Haggai Maron
Equivariant Deep Weight Space Alignment. CoRR (2023)
Guy Berger, Aviv Navon, Ethan Fetaya
Learning Discrete Weights and Activations Using the Local Reparameterization Trick. CoRR (2023)
Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
Multi-Task Learning as a Bargaining Game. CoRR (2022)
Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
Multi-Task Learning as a Bargaining Game. ICML (2022)
Eyal Betzalel, Coby Penso, Aviv Navon, Ethan Fetaya
A Study on the Evaluation of Generative Models. CoRR (2022)
Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik
Learning the Pareto Front with Hypernetworks. ICLR (2021)
Aviv Shamsian, Aviv Navon, Ethan Fetaya, Gal Chechik
Personalized Federated Learning using Hypernetworks. CoRR (2021)
Aviv Navon, Idan Achituve, Haggai Maron, Gal Chechik, Ethan Fetaya
Auxiliary Learning by Implicit Differentiation. ICLR (2021)
Idan Achituve, Aviv Navon, Yochai Yemini, Gal Chechik, Ethan Fetaya
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning. CoRR (2021)
Aviv Shamsian, Aviv Navon, Ethan Fetaya, Gal Chechik
Personalized Federated Learning using Hypernetworks. ICML (2021)
Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya
Personalized Federated Learning with Gaussian Processes. CoRR (2021)
Idan Achituve, Aviv Navon, Yochai Yemini, Gal Chechik, Ethan Fetaya
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning. ICML (2021)
Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya
Personalized Federated Learning With Gaussian Processes. NeurIPS (2021)
Aviv Navon, Aviv Shamsian, Gal Chechik, Ethan Fetaya
Learning the Pareto Front with Hypernetworks. CoRR (2020)
Aviv Navon, Idan Achituve, Haggai Maron, Gal Chechik, Ethan Fetaya
Auxiliary Learning by Implicit Differentiation. CoRR (2020)