5 citations · 14 across the 6 of their papers we have counts for
6 papers
Monitoring Shortcut Learning using Mutual Information
Mohammed Adnan, Yani Ioannou, Chuan-Yung Tsai +3
The failure of deep neural networks to generalize to out-of-distribution data is a well-known problem and raises concerns about the deployment of trained networks in safety-critica…
DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software
Chuan-Yung Tsai, Graham W. Taylor
Although machine learning (ML) has been successful in automating various software engineering needs, software testing still remains a highly challenging topic. In this paper, we ai…
Domain-Agnostic Clustering with Self-Distillation
Mohammed Adnan, Yani A. Ioannou, Chuan-Yung Tsai +1
Recent advancements in self-supervised learning have reduced the gap between supervised and unsupervised representation learning. However, most self-supervised and deep clustering…
FusedProp: Towards Efficient Training of Generative Adversarial Networks
Zachary Polizzi, Chuan-Yung Tsai
Generative adversarial networks (GANs) are capable of generating strikingly realistic samples but state-of-the-art GANs can be extremely computationally expensive to train. In this…
Tensor Switching Networks
Chuan-Yung Tsai, Andrew Saxe, David Cox
We present a novel neural network algorithm, the Tensor Switching (TS) network, which generalizes the Rectified Linear Unit (ReLU) nonlinearity to tensor-valued hidden units. The T…
Measuring and Understanding Sensory Representations within Deep Networks Using a Numerical Optimization Framework
Chuan-Yung Tsai, David D. Cox
A central challenge in sensory neuroscience is describing how the activity of populations of neurons can represent useful features of the external environment. However, while neuro…