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Kalibhat, Neha
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1
Adapting Self-Supervised Representations to Multi-Domain Se..:
Kalibhat, Neha
;
Sharpe, Sam
;
Goodsitt, Jeremy
..
http://arxiv.org/abs/2309.03999. , 2023
Link:
http://arxiv.org/abs/230..
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2
Identifying Interpretable Subspaces in Image Representation:
Kalibhat, Neha
;
Bhardwaj, Shweta
;
Bruss, Bayan
...
http://arxiv.org/abs/2307.10504. , 2023
Link:
http://arxiv.org/abs/230..
?
3
Disentangling the Effects of Data Augmentation and Format T..:
Kalibhat, Neha
;
Morningstar, Warren
;
Bijamov, Alex
...
http://arxiv.org/abs/2312.02205. , 2023
Link:
http://arxiv.org/abs/231..
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4
Measuring Self-Supervised Representation Quality for Downst..:
Kalibhat, Neha
;
Narang, Kanika
;
Firooz, Hamed
..
http://arxiv.org/abs/2203.01881. , 2022
Link:
http://arxiv.org/abs/220..
?
5
Understanding Overparameterization in Generative Adversaria..:
Balaji, Yogesh
;
Sajedi, Mohammadmahdi
;
Kalibhat, Neha Mukund
...
http://arxiv.org/abs/2104.05605. , 2021
Link:
http://arxiv.org/abs/210..
?
6
Winning Lottery Tickets in Deep Generative Models:
Kalibhat, Neha Mukund
;
Balaji, Yogesh
;
Feizi, Soheil
http://arxiv.org/abs/2010.02350. , 2020
Link:
http://arxiv.org/abs/201..
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