Learning Object Permanence from Video. - Aviv Shamsian; Ofri Kleinfeld; Amir Globerson; Gal Chechik (ECCV (16), 2020)

Learning the Pareto Front with Hypernetworks. - Aviv Navon; Aviv Shamsian; Ethan Fetaya; Gal Chechik (ICLR, 2021)

Personalized Federated Learning using Hypernetworks. - Aviv Shamsian; Aviv Navon; Ethan Fetaya; Gal Chechik (ICML, 2021)

Personalized Federated Learning With Gaussian Processes. - Idan Achituve; Aviv Shamsian; Aviv Navon; Gal Chechik; Ethan Fetaya (NeurIPS, 2021)

COMPOSER: Compositional Learning of Group Activity in Videos. - Honglu Zhou; Asim Kadav; Aviv Shamsian; Shijie Geng; Farley Lai; Long Zhao 003; Ting Liu 005; Mubbasir Kapadia; Hans Peter Graf (CoRR, 2021)

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality. - Honglu Zhou; Asim Kadav; Aviv Shamsian; Shijie Geng; Farley Lai; Long Zhao 003; Ting Liu 005; Mubbasir Kapadia; Hans Peter Graf (ECCV (35), 2022)

Multi-Task Learning as a Bargaining Game. - Aviv Navon; Aviv Shamsian; Idan Achituve; Haggai Maron; Kenji Kawaguchi; Gal Chechik; Ethan Fetaya (ICML, 2022)

DisCLIP: Open-Vocabulary Referring Expression Generation. - Lior Bracha; Eitan Shaar; Aviv Shamsian; Ethan Fetaya; Gal Chechik (BMVC, 2023)

Equivariant Architectures for Learning in Deep Weight Spaces. - Aviv Navon; Aviv Shamsian; Idan Achituve; Ethan Fetaya; Gal Chechik; Haggai Maron (ICML, 2023)

Auxiliary Learning as an Asymmetric Bargaining Game. - Aviv Shamsian; Aviv Navon; Neta Glazer; Kenji Kawaguchi; Gal Chechik; Ethan Fetaya (ICML, 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)

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; et al. (CoRR, 2023)

FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning. - Rishub Tamirisa; Chulin Xie; Wenxuan Bao; Andy Zhou; Ron Arel; Aviv Shamsian (CVPR, 2024)

Open-Vocabulary Keyword-Spotting with Adaptive Instance Normalization. - Aviv Navon; Aviv Shamsian; Neta Glazer; Gill Hetz; Joseph Keshet (ICASSP, 2024)

LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading. - Yochai Yemini; Aviv Shamsian; Lior Bracha; Sharon Gannot; Ethan Fetaya (ICLR, 2024)

Equivariant Deep Weight Space Alignment. - Aviv Navon; Aviv Shamsian; Ethan Fetaya; Gal Chechik; Nadav Dym; Haggai Maron (ICML, 2024)

Improved Generalization of Weight Space Networks via Augmentations. - Aviv Shamsian; Aviv Navon; David W. Zhang; Yan Zhang; Ethan Fetaya; Gal Chechik; Haggai Maron (ICML, 2024)

Keyword-Guided Adaptation of Automatic Speech Recognition. - Aviv Shamsian; Aviv Navon; Neta Glazer; Gill Hetz; Joseph Keshet (INTERSPEECH, 2024)

Multi Task Inverse Reinforcement Learning for Common Sense Reward. - Neta Glazer; Aviv Navon; Aviv Shamsian; Ethan Fetaya (CoRR, 2024)

WhisperNER: Unified Open Named Entity and Speech Recognition. - Gil Ayache; Menachem Pirchi; Aviv Navon; Aviv Shamsian; Gill Hetz; Joseph Keshet (CoRR, 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 (ICASSP, 2025)

Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization. - Aviv Shamsian; Eitan Shaar; Aviv Navon; Gal Chechik; Ethan Fetaya (CoRR, 2025)

FlowTSE: Target Speaker Extraction with Flow Matching. - Aviv Navon; Aviv Shamsian; Yael Segal-Feldman; Neta Glazer; Gill Hetz; Joseph Keshet (CoRR, 2025)

UmbraTTS: Adapting Text-to-Speech to Environmental Contexts with Flow Matching. - Neta Glazer; Aviv Navon; Yael Segal; Aviv Shamsian; Hilit Segev; Asaf Buchnick; Menachem Pirchi; Gill Hetz; Joseph Keshet (CoRR, 2025)

GradMetaNet: An Equivariant Architecture for Learning on Gradients. - Yoav Gelberg; Yam Eitan; Aviv Navon; Aviv Shamsian; Theo Putterman; Michael M. Bronstein; Haggai Maron (CoRR, 2025)