Aviv Shamsian

According to our database, Aviv Shamsian authored at least 21 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Whisper in Medusa's Ear: Multi-head Efficient Decoding for Transformer-based ASR.

Yael Segal-Feldman, Aviv Shamsian, Aviv Navon, Gill Hetz, Joseph Keshet

CoRR, 2024

WhisperNER: Unified Open Named Entity and Speech Recognition.

Gil Ayache, Menachem Pirchi, Aviv Navon, Aviv Shamsian, Gill Hetz, Joseph Keshet

CoRR, 2024

Keyword-Guided Adaptation of Automatic Speech Recognition.

Aviv Shamsian, Aviv Navon, Neta Glazer, Gill Hetz, Joseph Keshet

CoRR, 2024

Multi Task Inverse Reinforcement Learning for Common Sense Reward.

Neta Glazer, Aviv Navon, Aviv Shamsian, Ethan Fetaya

CoRR, 2024

Improved Generalization of Weight Space Networks via Augmentations.

Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Equivariant Deep Weight Space Alignment.

Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Nadav Dym, Haggai Maron

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading.

Yochai Yemini, Aviv Shamsian, Lior Bracha, Sharon Gannot, Ethan Fetaya

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Open-Vocabulary Keyword-Spotting with Adaptive Instance Normalization.

Aviv Navon, Aviv Shamsian, Neta Glazer, Gill Hetz, Joseph Keshet

Proceedings of the IEEE International Conference on Acoustics, 2024

FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning.

Rishub Tamirisa, Chulin Xie, Wenxuan Bao, Andy Zhou, Ron Arel, Aviv Shamsian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Data Augmentations in Deep Weight Spaces.

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

CoRR, 2023

Combining Language Models For Specialized Domains: A Colorful Approach.

Daniel Eitan, Menachem Pirchi, Neta Glazer, Shai Meital, Gil Ayache, Gidon Krendel, Aviv Shamsian, Aviv Navon, Gill Hetz, Joseph Keshet

CoRR, 2023

Auxiliary Learning as an Asymmetric Bargaining Game.

Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya

Proceedings of the International Conference on Machine Learning, 2023

Equivariant Architectures for Learning in Deep Weight Spaces.

Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron

Proceedings of the International Conference on Machine Learning, 2023

DisCLIP: Open-Vocabulary Referring Expression Generation.

Lior Bracha, Eitan Shaar, Aviv Shamsian, Ethan Fetaya, Gal Chechik

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Multi-Task Learning as a Bargaining Game.

Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya

Proceedings of the International Conference on Machine Learning, 2022

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality.

Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

COMPOSER: Compositional Learning of Group Activity in Videos.

Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf

CoRR, 2021

Personalized Federated Learning With Gaussian Processes.

Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Personalized Federated Learning using Hypernetworks.

Aviv Shamsian, Aviv Navon, Ethan Fetaya, Gal Chechik

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning the Pareto Front with Hypernetworks.

Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Learning Object Permanence from Video.

Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik

Proceedings of the Computer Vision - ECCV 2020, 2020