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[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
Updated
Jul 27, 2021
Python
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
Updated
Jul 28, 2021
Python
Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)
Updated
Apr 9, 2021
Jupyter Notebook
[Preprint] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang
Updated
Mar 2, 2021
Python
Framework to train models in a self-supervised way for speaker and language recognition tasks.
Updated
Jul 3, 2021
Jupyter Notebook
Code for the Knowledge distillation work to enhance fine grained disease recognition.
Updated
Nov 4, 2019
Python
Global Autoregressive Models (GAMs) for Data-Efficient Sequence Learning
Updated
Jan 13, 2020
Jupyter Notebook
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