ICASSP 2021

Visualizing Association In Exemplar-Based Classification

Multi-Tier Federated Learning For Vertically Partitioned Data

Assisted Learning: Cooperative Ai With Autonomy

Injecting Word Information With Multi-Level Word Adapter For Chinese Spoken Language Understanding

Ada-Sise: Adaptive Semantic Input Sampling For Efficient Explanation Of Convolutional Neural Networks

Statistical Distance Metric Learning For Image Set Retrieval

A Quantitative Metric For Privacy Leakage In Federated Learning

Hebbnet: A Simplified Hebbian Learning Framework To Do Biologically Plausible Learning

A Co-Interactive Transformer For Joint Slot Filling And Intent Detection

Robust Binary Loss For Multi-Category Classification With Label Noise

Distribution-Aware Hierarchical Weighting Method For Deep Metric Learning

Gradual Federated Learning Using Simulated Annealing