Roy Hirsch

According to our database, Roy Hirsch authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

2024

Random Walks for Temporal Action Segmentation with Timestamp Supervision.

Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A Conformalized Learning of a Prediction Set with Applications to Medical Imaging Classification.

Roy Hirsch, Jacob Goldberger

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Weakly-Supervised Surgical Phase Recognition.

Roy Hirsch, Regev Cohen, Mathilde Caron, Tomer Golany, Daniel Freedman, Ehud Rivlin

CoRR, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Trees with Attention for Set Prediction Tasks.

Roy Hirsch, Ran Gilad-Bachrach

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

Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates.

Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein

Proceedings of the IEEE International Conference on Data Mining, 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

Proceedings of the IEEE International Conference on Acoustics, 2021

Anchor-based Collaborative Filtering.

Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Noam Koenigstein

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021