7 citations · 7 across the 3 of their papers we have counts for
5 papers
SOSAE: Self-Organizing Sparse AutoEncoder
Sarthak Ketanbhai Modi, Zi Pong Lim, Yushi Cao +3
The process of tuning the size of the hidden layers for autoencoders has the benefit of providing optimally compressed representations for the input data. However, such hyper-param…
Towards Universal & Efficient Model Compression via Exponential Torque Pruning
Sarthak Ketanbhai Modi, Zi Pong Lim, Shourya Kuchhal +5
The rapid growth in complexity and size of modern deep neural networks (DNNs) has increased challenges related to computational costs and memory usage, spurring a growing interest…
Towards Calibration Enhanced Network by Inverse Adversarial Attack
Yupeng Cheng, Zi Pong Lim, Sarthak Ketanbhai Modi +3
Test automation has become increasingly important as the complexity of both design and content in Human Machine Interface (HMI) software continues to grow. Current standard practic…
LLMs for Relational Reasoning: How Far are We?
Zhiming Li, Yushi Cao, Xiufeng Xu +5
Large language models (LLMs) have revolutionized many areas (e.g. natural language processing, software engineering, etc.) by achieving state-of-the-art performance on extensive do…
Adversarial Exposure Attack on Diabetic Retinopathy Imagery Grading
Yupeng Cheng, Qing Guo, Felix Juefei-Xu +3
Diabetic Retinopathy (DR) is a leading cause of vision loss around the world. To help diagnose it, numerous cutting-edge works have built powerful deep neural networks (DNNs) to au…