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Rwiddhi Chakraborty

4 papers · 2023–2026 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌱 Topic Pioneer

Venues

CVPR (3) NeurIPS (1)

Top co-authors

Michael C. Kampffmeyer (2) Robert Jenssen (1) Changkyu Choi (1) Marius Aasan (1) Yinong (Oliver) Wang (1) Sigurd Løkse (1) Fernando De la Torre (1) Cheng Zhang (1) Runkai Zheng (1) Adín Ramírez Rivera (1)

Research topics

Machine Learning (3) Deep Learning (2) Application Areas (2) Core Methods (2) Learning Types · Machine Learning (2) Artificial Intelligence (1) Architectures (1) Core AI (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

unsupervised learning (1) representation learning (1) metric learning (1) few-shot learning (1) domain adaptation (1) unsupervised clustering (1) nearest neighbor (1) concept graphs (1) knowledge graph (1) spurious correlation (1) data debiasing (1) distance-based classification (1) group robustness (1) hubness problem (1) concept balancing (1) hyperspherical embedding (1) transductive few-shot learning (1) explainability heatmap (1) dataset bias detection (1)

Papers

Suppressing Non-Semantic Noise in Masked Image Modeling Representations CVPR 2026 ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations CVPR 2024 Visual Data Diagnosis and Debiasing with Concept Graphs NeurIPS 2024 Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings CVPR 2023