Yingbin Bai

4 papers · 2021–2023 · 2 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 · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

NeurIPS (3) ICCV (1)

Top co-authors

Tongliang Liu (4) Bo Han (3) Erkun Yang (3) Dadong Wang (2) Jun Yu (1) Gang Niu (1) Cheng Deng (1) Yuxuan Du (1) Yinian Mao (1) Zhaoqing Wang (1)

Research topics

Machine Learning (4) Learning Types · Machine Learning (4) Core Methods (3) Deep Learning (2) Learning Types · Deep Learning (2) Computer Vision (1) Application Areas (1) Core AI (1) Optimization & Theory (1)

Keywords

memorization effect (3) image classification (2) noisy label learning (2) representation learning (2) label noise (2) deep neural network (2) learning with noisy label (1) early stopping (1) aggressive augmentation (1) semantic shift (1) progressive training (1) contrastive learning (1) hard example mining (1) noise detection (1) self-supervised learning (1) data augmentation (1)

Papers

Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping NeurIPS 2023 RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning NeurIPS 2022 Me-Momentum: Extracting Hard Confident Examples From Noisily Labeled Data ICCV 2021 Understanding and Improving Early Stopping for Learning with Noisy Labels NeurIPS 2021