1 code implementation • CVPR 2021 • Vasily Zadorozhnyy, Qiang Cheng, Qiang Ye
Generative adversarial network (GAN) has become one of the most important neural network models for classical unsupervised machine learning.
Ranked #4 on Conditional Image Generation on CIFAR-100
Conditional Image Generation Generative Adversarial Network +1
2 code implementations • 3 Mar 2022 • Kehelwala Dewage Gayan Maduranga, Vasily Zadorozhnyy, Qiang Ye
We consider Convolutional Neural Networks (CNNs) with 2D structured features that are symmetric in the spatial dimensions.
1 code implementation • 12 Aug 2022 • Edison Mucllari, Vasily Zadorozhnyy, Cole Pospisil, Duc Nguyen, Qiang Ye
In recent years, using orthogonal matrices has been shown to be a promising approach in improving Recurrent Neural Networks (RNNs) with training, stability, and convergence, particularly, to control gradients.
1 code implementation • 28 Sep 2022 • Cole Pospisil, Vasily Zadorozhnyy, Qiang Ye
Methods such as Layer Normalization (LN) and Batch Normalization (BN) have proven to be effective in improving the training of Recurrent Neural Networks (RNNs).
no code implementations • 26 Oct 2022 • Vasily Zadorozhnyy, Qiang Ye, Kazuhito Koishida
In recent years, Generative Adversarial Networks (GANs) have produced significantly improved results in speech enhancement (SE) tasks.
Ranked #2 on Speech Enhancement on VoiceBank + DEMAND