Rwiddhi Chakraborty

According to our database, Rwiddhi Chakraborty authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Suppressing Non-Semantic Noise in Masked Image Modeling Representations.

Martine Hjelkrem-Tan, Marius Aasan, Rwiddhi Chakraborty, Gabriel Y. Arteaga, Changkyu Choi, Adín Ramírez Rivera

CoRR, April, 2026

2025

Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning.

Gabriel Y. Arteaga, Marius Aasan, Rwiddhi Chakraborty, Martine Hjelkrem-Tan, Thalles Silva, Michael Kampffmeyer, Adín Ramírez Rivera

CoRR, October, 2025

2024

Model and Data Diagnosis under Limited Supervision in Modern AI.

Rwiddhi Chakraborty

PhD thesis, 2024

Visual Data Diagnosis and Debiasing with Concept Graphs.

Rwiddhi Chakraborty, Yinong Wang, Jialu Gao, Runkai Zheng, Cheng Zhang, Fernando De la Torre

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations.

Rwiddhi Chakraborty, Adrian Sletten, Michael C. Kampffmeyer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

RC2020 Report: Learning De-biased Representations with Biased Representations.

Rwiddhi Chakraborty, Shubhayu Das

CoRR, 2021

A Review and Refinement of Surprise Adequacy.

Michael Weiss, Rwiddhi Chakraborty, Paolo Tonella

Proceedings of the 3rd IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, 2021