Machine Learning

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

Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing

Machine Learning Algorithm for Inferring User Activities from IoT Device Events