virtual conference icassp 2021

Energy Minimization For Federated Learning With Irs-Assisted Over-The-Air Computation

Training A Bank Of Wiener Models With A Novel Quadratic Mutual Information Cost Function

Improving Memory Banks For Unsupervised Learning With Large Mini-Batch, Consistency And Hard Negative Mining

Self-Supervised Learning For Few-Shot Image Classification

Super-Resolution And Infection Edge Detection Co-Guided Learning For Covid-19 Ct Segmentation

Cross-Silo Federated Training In The Cloud With Diversity Scaling And Semi-Supervised Learning

Geom-Spider-Em: Faster Variance Reduced Stochastic Expectation Maximization For Nonconvex Finite-Sum Optimization

Domain Adaptation For Learning Generator From Paired Few-Shot Data

Dp-Signsgd: When Efficiency Meets Privacy And Robustness

Gating Feature Dense Network For Single Anisotropic Mr Image Super-Resolution

Network Pruning Using Linear Dependency Analysis On Feature Maps

Learning A Tree Of Neural Nets