In-Memory Hardware-Software Co-design for Image Processing

Machine Learning

In-Memory Hardware-Software Co-design for Image Processing

Cyber Risk Loss Distribution Model of Client-Server Networks

Predicting Accuracy of a Machine Learning Model

Improved Mapping of Computational Loops on Reconfigurable Architectures

Deep Reinforcement-Learning-Based Text Anonymization for Attribute Privacy

Improving Shape Awareness and Interpretability in Deep Networks

Polynomial Implicit Neural Representations for Large Diverse Datasets

Implementing Improved Diversity Using Adversarially Learned Transformations for Domain Generalization

Self-Supervised Technique for Training Vision Transformers

Regularization Technique for Training Vision Transformers