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Hedda Cohen Indelman

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2024
[c4]
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Hedda Cohen Indelman, Tamir Hazan:
Learning Latent Partial Matchings with Gumbel-IPF Networks. AISTATS 2024: 1513-1521
[c3]
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Nachshon Cohen, Hedda Cohen Indelman, Yaron Fairstein, Guy Kushilevitz:
InDi: Informative and Diverse Sampling for Dense Retrieval. ECIR (3) 2024: 243-258
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  - journals/corr/abs-2404-16325
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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 abs/2404.16325 (2024)
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  - journals/corr/abs-2406-02180
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Hedda Cohen Indelman, Tamir Hazan:
On The Statistical Representation Properties Of The Perturb-Softmax And The Perturb-Argmax Probability Distributions. CoRR abs/2406.02180 (2024)
2023
[c2]
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Hedda Cohen Indelman, Tamir Hazan:
Learning Constrained Structured Spaces with Application to Multi-Graph Matching. AISTATS 2023: 2589-2602
2021
[c1]
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Hedda Cohen Indelman, Tamir Hazan:
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization. ICML 2021: 4585-4595
2020
[i1]
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  - journals/corr/abs-2007-05724
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Hedda Cohen Indelman, Tamir Hazan:
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization. CoRR abs/2007.05724 (2020)

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