Nadav Zamir

Asymmetric Loss For Multi-Label Classification

Tal Ridnik, Emanuel Ben-Baruch, Nadav Zamir et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 536 citations

Few-shot Learning, Multiple Instance Learning, Engineering +20

ASAP: Architecture Search, Anneal and Prune

Asaf Noy, Niv Nayman, Tal Ridnik et al. · arXiv (Cornell University) · 2019 · 64 citations · Full text

Artificial Intelligence, Differentiable Search Space, Engineering +17

Asymmetric Loss For Multi-Label Classification

Emanuel Ben-Baruch, Tal Ridnik, Nadav Zamir et al. · arXiv (Cornell University) · 2020 · 64 citations · Full text

Few-shot Learning, Multiple Instance Learning, Engineering +20

Multi-label Classification with Partial Annotations using Class-aware Selective Loss

Emanuel Ben-Baruch, Tal Ridnik, Itamar Friedman et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 42 citations

Multiple Instance Learning, Engineering, Machine Learning +18

Semantic Diversity Learning for Zero-Shot Multi-label Classification

Avi Ben-Cohen, Nadav Zamir, Emanuel Ben Baruch et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 38 citations