Neha Kalibhat
Neha Kalibhat
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Understanding overparameterization in generative adversarial networks
Y Balaji, M Sajedi, NM Kalibhat, M Ding, D Stöger, M Soltanolkotabi, ...
arXiv preprint arXiv:2104.05605, 2021
Winning lottery tickets in deep generative models
NM Kalibhat, Y Balaji, S Feizi
Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8038-8046, 2021
Measuring self-supervised representation quality for downstream classification using discriminative features
N Kalibhat, K Narang, H Firooz, M Sanjabi, S Feizi
Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13031 …, 2024
Software troubleshooting using machine learning
NM Kalibhat, S Varshini, C Kollengode, D Sitaram, S Kalambur
2017 IEEE 24th International Conference on High Performance Computing …, 2017
Identifying interpretable subspaces in image representations
N Kalibhat, S Bhardwaj, CB Bruss, H Firooz, M Sanjabi, S Feizi
International Conference on Machine Learning, 15623-15638, 2023
Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations
N Kalibhat, W Morningstar, A Bijamov, L Liu, K Singhal, P Mansfield
arXiv preprint arXiv:2312.02205, 2023
Augmentations vs Algorithms: What Works in Self-Supervised Learning
W Morningstar, A Bijamov, C Duvarney, L Friedman, N Kalibhat, L Liu, ...
arXiv preprint arXiv:2403.05726, 2024
Adapting Self-Supervised Representations to Multi-Domain Setups
N Kalibhat, S Sharpe, J Goodsitt, B Bruss, S Feizi
arXiv preprint arXiv:2309.03999, 2023
Multi-Domain Self-Supervised Learning
NM Kalibhat, Y Balaji, CB Bruss, S Feizi
DeepPUNs: Deep Positive Unlabeled Networks
G Somepalli, N Kalibhat, P Kumar
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