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Rwiddhi Chakraborty
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2020 – today
- 2024
- [c3]Rwiddhi Chakraborty, Adrian Sletten, Michael C. Kampffmeyer:
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations. CVPR 2024: 12017-12026 - [i5]Rwiddhi Chakraborty, Adrian Sletten, Michael Kampffmeyer:
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations. CoRR abs/2403.13870 (2024) - [i4]Rwiddhi Chakraborty, Yinong Wang, Jialu Gao, Runkai Zheng, Cheng Zhang, Fernando De la Torre:
Visual Data Diagnosis and Debiasing with Concept Graphs. CoRR abs/2409.18055 (2024) - 2023
- [c2]Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer:
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings. CVPR 2023: 7527-7536 - [i3]Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer:
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings. CoRR abs/2303.09352 (2023) - 2021
- [c1]Michael Weiss, Rwiddhi Chakraborty, Paolo Tonella:
A Review and Refinement of Surprise Adequacy. DeepTest@ICSE 2021: 17-24 - [i2]Michael Weiss, Rwiddhi Chakraborty, Paolo Tonella:
A Review and Refinement of Surprise Adequacy. CoRR abs/2103.05939 (2021) - [i1]Rwiddhi Chakraborty, Shubhayu Das:
RC2020 Report: Learning De-biased Representations with Biased Representations. CoRR abs/2105.06724 (2021)
Coauthor Index
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last updated on 2024-10-21 21:28 CEST by the dblp team
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