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Che-Tsung Lin

2 accepted papers

2022

AdaSTE: An Adaptive Straight-Through Estimator To Train Binary Neural Networks

CVPR 2022poster

We propose a new algorithm for training deep neural networks (DNNs) with binary weights. In particular, we first cast the problem of training binary neural networks (BiNNs) as a bilevel optimization instance and subsequently construct flexible relaxations of this bilevel program. The resulting train…

Cited by 20PDFcodeScholar
2018

AugGAN: Cross Domain Adaptation with GAN-based Data Augmentation

ECCV 2018poster

Deep learning based image-to-image translation methods aim at learning the joint distribution of the two domains and finding transformations between them. Despite recent GAN (Generative Adversarial Network) based methods have shown compelling visual results, they are prone to fail at preserving imag…

Cited by 350SourcePDFScholar