Anchor-based Collaborative Filtering. - Oren Barkan; Roy Hirsch; Ori Katz; Avi Caciularu; Noam Koenigstein (CIKM, 2021)

Cold Start Revisited: A Deep Hybrid Recommender with Cold-Warm Item Harmonization. - Oren Barkan; Roy Hirsch; Ori Katz; Avi Caciularu; Yoni Weill; Noam Koenigstein (ICASSP, 2021)

Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates. - Oren Barkan; Roy Hirsch; Ori Katz; Avi Caciularu; Jonathan Weill; Noam Koenigstein (ICDM, 2021)

Trees with Attention for Set Prediction Tasks. - Roy Hirsch; Ran Gilad-Bachrach (ICML, 2021)

Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond. - Oren Barkan; Tal Reiss; Jonathan Weill; Ori Katz; Roy Hirsch; Itzik Malkiel; Noam Koenigstein (ICCV, 2023)

Self-supervised Learning for Endoscopic Video Analysis. - Roy Hirsch; Mathilde Caron; Regev Cohen; Amir Livne; Ron Shapiro; Tomer Golany; Roman Goldenberg; Daniel Freedman; Ehud Rivlin (MICCAI (5), 2023)

Weakly-Supervised Surgical Phase Recognition. - Roy Hirsch; Regev Cohen; Mathilde Caron; Tomer Golany; Daniel Freedman; Ehud Rivlin (CoRR, 2023)

On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models. - Miri Varshavsky-Hassid; Roy Hirsch; Regev Cohen; Tomer Golany; Daniel Freedman; Ehud Rivlin (ACL (Short Papers), 2024)

Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM. - Eliya Nachmani; Alon Levkovitch; Roy Hirsch; Julian Salazar; Chulayuth Asawaroengchai; Soroosh Mariooryad; Ehud Rivlin; R. J. Skerry-Ryan; Michelle Tadmor Ramanovich (ICLR, 2024)

A Conformalized Learning of a Prediction Set with Applications to Medical Imaging Classification. - Roy Hirsch; Jacob Goldberger (ISBI, 2024)

Random Walks for Temporal Action Segmentation with Timestamp Supervision. - Roy Hirsch; Regev Cohen; Tomer Golany; Daniel Freedman; Ehud Rivlin (WACV, 2024)