1

A Nearest Neighbor Under-sampling Strategy for Vertical Federated Learning in Financial Domain
Machine learning techniques have been widely applied in modern financial activities. Participants in the field are aware of the …
Cite ACM
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy
Currently, the federated graph neural network (GNN) has attracted a lot of attention due to its wide applications in reality without …
Cite arXiv Springer
Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection
Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software.
Cite
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition
The Transformer architecture model, based on self-attention and multi-head attention, has achieved remarkable success in offline …
Cite arXiv IEEE
Augmentation-induced Consistency Regularization for Classification
Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software.
Cite
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation
Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software.
Cite
Cali3F: Calibrated Fast Fair Federated Recommendation System
The increasingly stringent regulations on privacy protection have sparked interest in federated learning. As a distributed machine …
Cite arXiv IEEE
Debias the Black-Box: A Fair Ranking Framework via Knowledge Distillation
Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software.
Cite
Denoising of 3D MR Images Using a Voxel-Wise Hybrid Residual MLP-CNN Model to Improve Small Lesion Diagnostic Confidence
PDF Cite
DT-SV: A Transformer-based Time-domain Approach for Speaker Verification
Speaker verification (SV) aims to determine whether the speaker’s identity of a test utterance is the same as the reference …
Cite arXiv IEEE