A Review and Refinement of Surprise Adequacy. - Michael Weiss 004; Rwiddhi Chakraborty; Paolo Tonella (DeepTest@ICSE, 2021)

RC2020 Report: Learning De-biased Representations with Biased Representations. - Rwiddhi Chakraborty; Shubhayu Das (CoRR, 2021)

Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings. - Daniel J. Trosten; Rwiddhi Chakraborty; Sigurd Løkse; Kristoffer Knutsen Wickstrøm; Robert Jenssen; Michael C. Kampffmeyer (CVPR, 2023)

ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations. - Rwiddhi Chakraborty; Adrian Sletten; Michael C. Kampffmeyer (CVPR, 2024)

Visual Data Diagnosis and Debiasing with Concept Graphs. - Rwiddhi Chakraborty; Yinong Wang; Jialu Gao; Runkai Zheng; Cheng Zhang 014; Fernando De la Torre (NeurIPS, 2024)