Software Troubleshooting Using Machine Learning. - Neha Mukund Kalibhat; Shreya Varshini; Chid Kollengode; Dinkar Sitaram; Subramaniam Kalambur (HiPC Workshops, 2017)

Winning Lottery Tickets in Deep Generative Models. - Neha Mukund Kalibhat; Yogesh Balaji; Soheil Feizi (AAAI, 2021)

Understanding Over-parameterization in Generative Adversarial Networks. - Yogesh Balaji; Mohammadmahdi Sajedi; Neha Mukund Kalibhat; Mucong Ding; Dominik Stöger; Mahdi Soltanolkotabi; Soheil Feizi (ICLR, 2021)

Understanding Overparameterization in Generative Adversarial Networks. - Yogesh Balaji; Mohammadmahdi Sajedi; Neha Mukund Kalibhat; Mucong Ding; Dominik Stöger; Mahdi Soltanolkotabi; Soheil Feizi (CoRR, 2021)

Understanding Failure Modes of Self-Supervised Learning. - Neha Mukund Kalibhat; Kanika Narang; Liang Tan 005; Hamed Firooz; Maziar Sanjabi; Soheil Feizi (CoRR, 2022)

Adapting Self-Supervised Representations to Multi-Domain Setups. - Neha Mukund Kalibhat; Samuel Sharpe; Jeremy Goodsitt; C. Bayan Bruss; Soheil Feizi (BMVC, 2023)

Identifying Interpretable Subspaces in Image Representations. - Neha Mukund Kalibhat; Shweta Bhardwaj; C. Bayan Bruss; Hamed Firooz; Maziar Sanjabi; Soheil Feizi (ICML, 2023)

Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features. - Neha Mukund Kalibhat; Kanika Narang; Hamed Firooz; Maziar Sanjabi; Soheil Feizi (AAAI, 2024)

Augmentations vs Algorithms: What Works in Self-Supervised Learning. - Warren R. Morningstar; Alex Bijamov; Chris Duvarney; Luke Friedman; Neha Mukund Kalibhat; Luyang Liu; Philip Andrew Mansfield; Renan A. Rojas-Gomez; Karan Singhal; Bradley Green; Sushant Prakash (CoRR, 2024)

Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning. - Neha Mukund Kalibhat; Priyatham Kattakinda; Arman Zarei; Nikita Seleznev; Samuel Sharpe; Senthil Kumar; Soheil Feizi (CoRR, 2024)

Interpreting Visual Representations and Mitigating their Failures. - Neha Mukund Kalibhat (2024)

Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning. - Neha Mukund Kalibhat; Priyatham Kattakinda; Sumit Nawathe; Arman Zarei; Nikita Seleznev; Samuel Sharpe; Senthil Kumar; Soheil Feizi (CVPR Workshops, 2025)

Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations. - Neha Mukund Kalibhat; Warren Richard Morningstar; Alex Bijamov; Luyang Liu; Karan Singhal; Philip Andrew Mansfield (UniReps, 2025)