Eric Arazo

6 papers · 2019–2024 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) ❓ The Questioner

Venues

ECCV (2) WACV (2) CVPR (1) ICML (1)

Top co-authors

Paul Albert (6) Kevin McGuinness (6) Diego Ortego (3) Noel E. O'Connor (2) Noel E. O’Connor (2) Tarun Krishna (2) Noel O Connor (1) Noel O’Connor (1) Jack Valmadre (1)

Research topics

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

Keywords

label noise (4) image classification (1) contrastive learning (1) semi-supervised learning (1) noisy label learning (1) data augmentation (1) robust classification (1) mixture model (1) out-of-distribution detection (1) noisy label detection (1) contrastive objective (1) confirmation bia (1) webly supervised learning (1) loss correction (1) two-stage detection (1) pseudo-label correction (1) representation learning (1) interpolation training (1)

Papers

An accurate detection is not all you need to combat label noise in web-noisy datasets ECCV 2024 Is Your Noise Correction Noisy? PLS: Robustness To Label Noise With Two Stage Detection WACV 2023 Addressing Out-of-Distribution Label Noise in Webly-Labelled Data WACV 2022 Embedding Contrastive Unsupervised Features to Cluster in- and Out-of-Distribution Noise in Corrupted Image Datasets ECCV 2022 Multi-Objective Interpolation Training for Robustness To Label Noise CVPR 2021 Unsupervised Label Noise Modeling and Loss Correction ICML 2019