virtual conference icassp 2021

Adaptable Ensemble Distillation

A Plug And Play Fast Intersection Over Union Loss For Boundary Box Regression

Deep Semi-Supervised Metric Learning Via Identification Of Manifold Memberships

Optimal Importance Sampling For Federated Learning

Corrupted Contextual Bandits: Online Learning With Corrupted Context

A Secure Searchable Image Retrieval Scheme With Correct Retrieval Identity

Deep Neural Networks With Flexible Complexity While Training Based On Neural Ordinary Differential Equations

Federated Learning From Big Data Over Networks

A Scale Invariant Measure Of Flatness For Deep Network Minima

Representative Local Feature Mining For Few-Shot Learning

A Ranked Similarity Loss Function With Pair Weighting For Deep Metric Learning

Training Speech Recognition Models With Federated Learning: A Quality/Cost Framework