Neha Mukund Kalibhat

17 papers A* 4A 1Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations. UniReps Neha Mukund Kalibhat, Warren Richard Morningstar, Alex Bijamov, Luyang Liu, Karan Singhal, Philip Andrew Mansfield
2025	—	`conf`	Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning. CVPR Workshops Neha Mukund Kalibhat, Priyatham Kattakinda, Sumit Nawathe, Arman Zarei, Nikita Seleznev, Samuel Sharpe, Senthil Kumar, Soheil Feizi
2024	J	`jnl`	Augmentations vs Algorithms: What Works in Self-Supervised Learning. CoRR 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
2024	—	`—`	Interpreting Visual Representations and Mitigating their Failures. Neha Mukund Kalibhat
2024	A*	`conf`	Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features. AAAI Neha Mukund Kalibhat, Kanika Narang, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
2024	J	`jnl`	Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning. CoRR Neha Mukund Kalibhat, Priyatham Kattakinda, Arman Zarei, Nikita Seleznev, Samuel Sharpe, Senthil Kumar, Soheil Feizi
2023	A	`conf`	Adapting Self-Supervised Representations to Multi-Domain Setups. BMVC Neha Mukund Kalibhat, Samuel Sharpe, Jeremy Goodsitt, C. Bayan Bruss, Soheil Feizi
2023	J	`jnl`	Adapting Self-Supervised Representations to Multi-Domain Setups. CoRR Neha Mukund Kalibhat, Samuel Sharpe, Jeremy Goodsitt, C. Bayan Bruss, Soheil Feizi
2023	J	`jnl`	Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations. CoRR Neha Mukund Kalibhat, Warren R. Morningstar, Alex Bijamov, Luyang Liu, Karan Singhal, Philip Andrew Mansfield
2023	A*	`conf`	Identifying Interpretable Subspaces in Image Representations. ICML Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
2023	J	`jnl`	Identifying Interpretable Subspaces in Image Representations. CoRR Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
2022	J	`jnl`	Understanding Failure Modes of Self-Supervised Learning. CoRR Neha Mukund Kalibhat, Kanika Narang, Liang Tan, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
2021	A*	`conf`	Understanding Over-parameterization in Generative Adversarial Networks. ICLR Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi
2021	J	`jnl`	Understanding Overparameterization in Generative Adversarial Networks. CoRR Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi
2021	A*	`conf`	Winning Lottery Tickets in Deep Generative Models. AAAI Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi
2020	J	`jnl`	Winning Lottery Tickets in Deep Generative Models. CoRR Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi
2017	—	`conf`	Software Troubleshooting Using Machine Learning. HiPC Workshops Neha Mukund Kalibhat, Shreya Varshini, Chid Kollengode, Dinkar Sitaram, Subramaniam Kalambur