Hedda Cohen Indelman

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Semantic Segmentation

Learning Scheme

Loss Minimization

Top Venues

Publications

Hedda Cohen Indelman, Elay Dahan, Angeles M. Perez-Agosto, Carmit Shiran, Doron Shaked, Nati Daniel
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models. CoRR (2024)
Nachshon Cohen, Hedda Cohen Indelman, Yaron Fairstein, Guy Kushilevitz
InDi: Informative and Diverse Sampling for Dense Retrieval. ECIR (3) (2024)
Hedda Cohen Indelman, Tamir Hazan
Learning Latent Partial Matchings with Gumbel-IPF Networks. AISTATS (2024)
Hedda Cohen Indelman, Tamir Hazan
On The Statistical Representation Properties Of The Perturb-Softmax And The Perturb-Argmax Probability Distributions. CoRR (2024)
Hedda Cohen Indelman, Tamir Hazan
Learning Constrained Structured Spaces with Application to Multi-Graph Matching. AISTATS (2023)
Hedda Cohen Indelman, Tamir Hazan
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization. ICML (2021)
Hedda Cohen Indelman, Tamir Hazan
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization. CoRR (2020)