Kalibhat, Neha Mukund

5 publications

CVPRW 2025 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

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

ICMLW 2022 Towards Better Understanding of Self-Supervised Representations Neha Mukund Kalibhat, Kanika Narang, Hamed Firooz, Maziar Sanjabi, Soheil Feizi

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

AAAI 2021 Winning Lottery Tickets in Deep Generative Models Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi