Neha Mukund Kalibhat

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 13

Top Topics

Supervised Learning

Top Venues

Publications

Neha Mukund Kalibhat, Kanika Narang, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features. AAAI (2024)
Neha Mukund Kalibhat, Priyatham Kattakinda, Arman Zarei, Nikita Seleznev, Samuel Sharpe, Senthil Kumar, Soheil Feizi
Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning. CoRR (2024)
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
Augmentations vs Algorithms: What Works in Self-Supervised Learning. CoRR (2024)
Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
Identifying Interpretable Subspaces in Image Representations. CoRR (2023)
Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
Identifying Interpretable Subspaces in Image Representations. ICML (2023)
Neha Mukund Kalibhat, Samuel Sharpe, Jeremy Goodsitt, C. Bayan Bruss, Soheil Feizi
Adapting Self-Supervised Representations to Multi-Domain Setups. CoRR (2023)
Neha Mukund Kalibhat, Samuel Sharpe, Jeremy Goodsitt, C. Bayan Bruss, Soheil Feizi
Adapting Self-Supervised Representations to Multi-Domain Setups. BMVC (2023)
Neha Mukund Kalibhat, Kanika Narang, Liang Tan, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
Understanding Failure Modes of Self-Supervised Learning. CoRR (2022)
Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi
Understanding Overparameterization in Generative Adversarial Networks. CoRR (2021)
Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi
Understanding Over-parameterization in Generative Adversarial Networks. ICLR (2021)
Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi
Winning Lottery Tickets in Deep Generative Models. AAAI (2021)
Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi
Winning Lottery Tickets in Deep Generative Models. CoRR (2020)
Neha Mukund Kalibhat, Shreya Varshini, Chid Kollengode, Dinkar Sitaram, Subramaniam Kalambur
Software Troubleshooting Using Machine Learning. HiPC Workshops (2017)