Tal Ridnik

6 papers · 2019–2023 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🔥 Unstoppable · Bronze

Venues

WACV (2) AISTATS (1) CVPR (1) ICCV (1) NeurIPS (1)

Top co-authors

Asaf Noy (6) Itamar Friedman (5) Nadav Zamir (3) Emanuel Ben-Baruch (3) Avi Ben-Cohen (2) Lihi Zelnik (2) Niv Nayman (2) Gilad Sharir (2) Lihi Zelnik-Manor (2) Emanuel Ben Baruch (1)

Research topics

Machine Learning (6) Deep Learning (4) Architectures (3) Learning Types (3) Computer Vision (2) Analysis (2) Application Areas (2) Core Methods (2) Optimization & Theory · Deep Learning (2) Optimization & Theory · Machine Learning (2) Techniques (2)

Keywords

image classification (3) multi-label classification (3) object detection (2) asymmetric loss (2) neural architecture search (2) network pruning (1) classification head (1) scalable classification (1) label noise (1) model pruning (1) expert advice (1) partial annotation (1) regret bound (1) memory footprint (1) vision dataset (1) mean average precision (1) convolution neural network (1) decoder architecture (1) gpu efficiency (1) differentiable search space (1)

Papers

ML-Decoder: Scalable and Versatile Classification Head WACV 2023 Multi-Label Classification With Partial Annotations Using Class-Aware Selective Loss CVPR 2022 Asymmetric Loss for Multi-Label Classification ICCV 2021 TResNet: High Performance GPU-Dedicated Architecture WACV 2021 ASAP: Architecture Search, Anneal and Prune AISTATS 2020 XNAS: Neural Architecture Search with Expert Advice NeurIPS 2019