Bhanu Garg

4 papers · 2020–2023 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

AAAI (2) ACML (1) ICML (1)

Top co-authors

Ramtin Hosseini (2) Li Zhang (2) Pengtao Xie (2) Kijun Kim (1) Pradyumna Sridhara (1) Sudhanshu Ranjan (1) Naresh Manwani (1) Eric Xing (1)

Research topics

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

Keywords

neural architecture search (2) contrastive learning (1) continual learning (1) multi-task learning (1) algorithmic fairness (1) ordinal regression (1) domain adaptation (1) decision making (1) self-supervised learning (1) emotion recognition (1) deep learning (1) label noise (1) gradient descent (1) loss function (1) group-aware learning (1) facial analysis (1) rank consistency (1) learning from mistake (1) three-stage optimization (1) image classification (1)

Papers

Fair and Accurate Decision Making through Group-Aware Learning ICML 2023 From Video to Images: Contrastive Pretraining for Emotion Recognition from Single Image (Student Abstract) AAAI 2022 Learning from Mistakes – a Framework for Neural Architecture Search AAAI 2022 Robust Deep Ordinal Regression under Label Noise ACML 2020