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Found 12 papers, 1 papers with code
Enhancing Multilingual Speech Recognition through Language Prompt Tuning and Frame-Level Language Adapter
To further expand the applications of multilingual artificial intelligence assistants and facilitate international communication, it is essential to enhance the performance of multilingual speech recognition, which is a crucial component of speech interaction.
Boosting long-term forecasting performance for continuous-time dynamic graph networks via data augmentation
This study focuses on long-term forecasting (LTF) on continuous-time dynamic graph networks (CTDGNs), which is important for real-world modeling.
Motif-aware temporal GCN for fraud detection in signed cryptocurrency trust networks
Whereas in this study, we consider the evolving nature of cryptocurrency networks, and use local structural as well as the balance theory to guide the training process.
M3FGM:a node masking and multi-granularity message passing-based federated graph model for spatial-temporal data prediction
This paper proposes a new GNN-oriented split federated learning method, named node {\bfseries M}asking and {\bfseries M}ulti-granularity {\bfseries M}essage passing-based Federated Graph Model (M$^3$FGM) for the above issues.
Spatial-aware Speaker Diarization for Multi-channel Multi-party Meeting
This paper describes a spatial-aware speaker diarization system for the multi-channel multi-party meeting.
A Ligand-and-structure Dual-driven Deep Learning Method for the Discovery of Highly Potent GnRH1R Antagonist to treat Uterine Diseases
Gonadotrophin-releasing hormone receptor (GnRH1R) is a promising therapeutic target for the treatment of uterine diseases.
An Interpretable Federated Learning-based Network Intrusion Detection Framework
Learning-based Network Intrusion Detection Systems (NIDSs) are widely deployed for defending various cyberattacks.
Dynamic Differential-Privacy Preserving SGD
The equivalent privacy costs controlled by maintaining the same gradient clipping thresholds and noise powers in each step result in unstable updates and a lower model accuracy when compared to the non-DP counterpart.
EventPoint: Self-Supervised Interest Point Detection and Description for Event-based Camera
We propose a new time-surface-like event stream representation method called Tencode.
An Integrated Framework for Two-pass Personalized Voice Trigger
For the SV system, we proposed a multi-task learning network, where phonetic branch is trained with the character label of the utterance, and speaker branch is trained with the label of the speaker.
Crop Height and Plot Estimation for Phenotyping from Unmanned Aerial Vehicles using 3D LiDAR
We also present a toolchain that can be used to create phenotyping farms for use in Gazebo simulations.
Bottleneck Supervised U-Net for Pixel-wise Liver and Tumor Segmentation
In this paper, we propose a bottleneck supervised (BS) U-Net model for liver and tumor segmentation.
