Publications
WhisperNER: Unified Open Named Entity and Speech Recognition.
ASRU, 2025.
Gil Ayache,
Menachem Pirchi,
Aviv Navon,
Aviv Shamsian,
Gill Hetz,
Joseph Keshet
[paper]
[bibtex]
Target Speaker Extraction with Flow Matching.
InterSpeech, 2025.
Aviv Navon,
Aviv Shamsian,
Yael Segal-Feldman,
Neta Glazer,
Gill Hetz,
Joseph Keshet
[paper]
[bibtex]
UmbraTTS: Adapting Text-to-Speech to Environmental Contexts with Flow Matching.
ICML WMLA, 2025.
Neta Glazer,
Aviv Navon,
Yael Segal,
Aviv Shamsian,
Hilit Segev,
Asaf Buchnick,
Menachem Pirchi,
Gill Hetz,
Joseph Keshet
[paper]
[bibtex]
Whisper in Medusa’s Ear: Multi-head Efficient Decoding for Transformer-based ASR.
ICASSP, 2025.
Yael Segal-Feldman,
Aviv Shamsian,
Aviv Navon,
Gill Hetz,
Joseph Keshet
[paper]
[bibtex]
Improved Generalization of Weight Space Networks via Augmentations.
ICML, 2024.
Aviv Shamsian*,
Aviv Navon*,
David W Zhang,
Yan Zhang,
Ethan Fetaya,
Gal Chechik,
Haggai Maron
[paper]
[bibtex]
Keyword-guided Adaptation of Automatic Speech Recognition.
InterSpeech, 2024.
Aviv Shamsian*,
Aviv Navon*,
Neta Glazer,
Gill Hetz,
Joseph Keshet
[paper]
[bibtex]
Equivariant Deep Weight Space Alignment.
ICML, 2024.
Aviv Navon*,
Aviv Shamsian*,
Ethan Fetaya,
Gal Chechik,
Nadav Dym,
Haggai Maron
[paper]
[bibtex]
LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading.
ICLR, 2024.
Yochai Yemini,
Aviv Shamsian,
Lior Bracha,
Sharon Gannot,
Ethan Fetaya
[paper]
[project page]
[bibtex]
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning.
CVPR, 2024.
Rishub Tamirisa,
Chulin Xie,
Wenxuan Bao,
Andy Zhou,
Ron Arel,
Aviv Shamsian
[paper]
[bibtex]
Open-Vocabulary Keyword-Spotting with Adaptive Instance Normalization.
ICASSP, 2024.
Aviv Navon*,
Aviv Shamsian*,
Neta Glazer,
Gill Hetz,
Joseph Keshet
[paper]
[bibtex]
DisCLIP: Open-Vocabulary Referring Expression Generation.
BMVC, 2023.
Oral presentation.
Lior Bracha*,
Eitan Shaar*,
Aviv Shamsian,
Ethan Fetaya,
Gal Chechik,
[paper]
[code]
[bibtex]
Auxiliary Learning as an Asymmetric Bargaining Game.
ICML, 2023.
Aviv Shamsian*,
Aviv Navon*,
Neta Glazer,
Kenji Kawaguchi,
Gal Chechik,
Ethan Fetaya
[paper]
[project page]
[code]
[bibtex]
Equivariant Architectures for Learning in Deep Weight Spaces.
ICML, 2023.
Oral presentation.
Aviv Navon*,
Aviv Shamsian*,
Idan Achituve,
Ethan Fetaya,
Gal Chechik,
Haggai Maron
[paper]
[project page]
[video]
[poster]
[code]
[blog]
[bibtex]
![[poster]](https://icml.cc/media/PosterPDFs/ICML%202023/24582.png?t=1687508976.0894368){kind=link}
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality.
ECCV, 2022.
Honglu Zhou,
Asim Kadav,
Aviv Shamsian,
Shijie Geng,
Long Zaho,
Ting Liu,
Mubbasir Kapadia
Hans Peter Graf
[paper]
[code]
[bibtex]
Multi-Task Learning as a Bargaining Game.
ICML, 2022.
Aviv Navon*,
Aviv Shamsian*,
Idan Achituve,
Haggai Maron,
Kenji Kawaguchi,
Gal Chechik,
Ethan Fetaya
[paper]
[project page]
[code]
[bibtex]
Personalized Federated Learning with Gaussian Processes.
NeurIPS, 2021.
Idan Achituve,
Aviv Shamsian,
Aviv Navon,
Gal Chechik,
Ethan Fetaya
[paper]
[code]
Personalized Federated Learning using Hypernetworks.
ICML 2021.
Aviv Shamsian*,
Aviv Navon*,
Ethan Fetaya,
Gal Chechik,
(* equal contribution)
[paper]
[project page]
[code]
[bibtex]
Learning the Pareto Front with Hypernetworks.
ICLR 2021.
Aviv Navon*,
Aviv Shamsian*,
Gal Chechik,
Ethan Fetaya
(* equal contribution)
[paper]
[project page]
[code]
[bibtex]
Learning Object Permanence From Video.
ECCV 2020.
Aviv Shamsian*,
Ofri Kleinfeld*,
Amir Globerson,
Gal Chechik,
(* equal contribution)
[paper]
[project page]
[code]
[bibtex]