| 2025 | IJCNLP | MINDS: A Cross-Cultural Dialogue Corpus for Social Norm Classification and Adherence Detection. | Pritish Sahu, Anirudh Som, Ajay Divakaran, Dimitra Vergyri |
| 2024 | ACL | Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning. | Anirudh Som, Karan Sikka, Helen Gent, Ajay Divakaran, Andreas Kathol, Dimitra Vergyri |
| 2021 | EDM | Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles. | Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie, Amir Tamrakar |
| 2020 | CVPR | AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. | Hongjun Choi, Anirudh Som, Pavan K. Turaga |
| 2020 | CVPR | PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. | Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga |
| 2020 | ECCV | A Machine Learning Approach to Assess Student Group Collaboration Using Individual Level Behavioral Cues. | Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie, Amir Tamrakar |
| 2018 | ECCV | Perturbation Robust Representations of Topological Persistence Diagrams. | Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga |
| 2016 | CVPR | Riemannian Geometric Approaches for Measuring Movement Quality. | Anirudh Som, Rushil Anirudh, Qiao Wang, Pavan K. Turaga |