ICASSP 2021

Learning A Tree Of Neural Nets

Dual Metric Discriminator For Open Set Video Domain Adaptation

Multi-Order Adversarial Representation Learning For Composed Query Image Retrieval

Kan: Knowledge-Augmented Networks For Few-Shot Learning

Federated Algorithm With Bayesian Approach: Omni-Fedge

Multiple-Input Multiple-Output Fusion Network For Generalized Zero-Shot Learning

Integrated Grad-Cam: Sensitivity-Aware Visual Explanation Of Deep Convolutional Networks Via Integrated Gradient-Based Scoring

Adaptive Feature Weight Learning For Robust Clustering Problem With Sparse Constraint

Adaptive Quantization Of Model Updates For Communication-Efficient Federated Learning

Information And Regularization In Restricted Boltzmann Machines

Joint Maximum Likelihood Estimation Of Power Spectral Densities And Relative Acoustic Transfer Functions For Acoustic Beamforming

Graph Attention Networks For Speaker Verification