Improving Shape Awareness and Interpretability in Deep Networks

Algorithm Development

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

Machine Learning Algorithm for Inferring User Activities from IoT Device Events

Identify Targeted Attacks on Deep RL-Based Autonomous Driving

Algorithm for Inferring User Activities from IoT Network Traffic

PathSeeker: A Fast-Mapping Algorithm for CGRAs

Voltage Distribution Power System Modeling & Scheduling Software Tool

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