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Rwiddhi Chakraborty

Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings
2023 · Daniel J. Trosten, Rwiddhi Chakraborty, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 30
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A Review and Refinement of Surprise Adequacy
2021 · Michael Weiss, Rwiddhi Chakraborty, et al. · IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest) · 18
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ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
2024 · Rwiddhi Chakraborty, Adrian Sletten, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 3
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Not Another Text Benchmark: Putting the "Visual" Back in Visual Question Answering for Large Video Models
2026 · Chakraborty, Rwiddhi, Wang, Yinong Oliver, et al. · arXiv (Cornell University)
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Suppressing Non-Semantic Noise in Masked Image Modeling Representations
2026 · Hjelkrem-Tan, Martine, Aasan, Marius, et al. · arXiv (Cornell University)
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Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning
2025 · Arteaga, Gabriel Y., Aasan, Marius, et al. · arXiv (Cornell University)
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Visual Data Diagnosis and Debiasing with Concept Graphs
2024 · Rwiddhi Chakraborty, Yinong Wang, et al. · neural information processing systems
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RC2020 Report: Learning De-biased Representations with Biased Representations
2021 · Chakraborty, Rwiddhi, Das, Shubhayu · arXiv (Cornell University)
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Works count: 9
Citation count: 51
H-index: 3
I10-index: 2
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