Singhal, Karan

8 publications

NeurIPSW 2024 Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations Neha Kalibhat, Warren Richard Morningstar, Alex Bijamov, Luyang Liu, Karan Singhal, Philip Andrew Mansfield

TMLR 2024 Federated Variational Inference: Towards Improved Personalization and Generalization Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar

TMLR 2024 SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer Renan A. Rojas-Gomez, Karan Singhal, Ali Etemad, Alex Bijamov, Warren Richard Morningstar, Philip Andrew Mansfield

ICLRW 2023 Federated Training of Dual Encoding Models on Small Non-Iid Client Datasets Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green

NeurIPSW 2023 Random Field Augmentations for Self-Supervised Representation Learning Philip Mansfield, Arash Afkanpour, Warren Morningstar, Karan Singhal

ICMLW 2022 Plex: Towards Reliability Using Pretrained Large Model Extensions Dustin Tran, Jeremiah Zhe Liu, Michael W Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda E Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, E. Kelly Buchanan, Kevin Patrick Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan

ICLR 2022 What Do We Mean by Generalization in Federated Learning? Honglin Yuan, Warren Richard Morningstar, Lin Ning, Karan Singhal

NeurIPS 2021 Federated Reconstruction: Partially Local Federated Learning Karan Singhal, Hakim Sidahmed, Zachary Garrett, Shanshan Wu, John Rush, Sushant Prakash