Machine Learning

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

Identify Targeted Attacks on Deep RL-Based Autonomous Driving

PathSeeker: A Fast-Mapping Algorithm for CGRAs

Systems and Algorithms for Few-Shot Node Classification on Graphs