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09/21/2023
Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in Speaker Recognition
Current speaker recognition systems primarily rely on supervised approac...
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09/18/2023
Adaptive Reorganization of Neural Pathways for Continual Learning with Hybrid Spiking Neural Networks
The human brain can self-organize rich and diverse sparse neural pathway...
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09/13/2023
Attention-based Encoder-Decoder End-to-End Neural Diarization with Embedding Enhancer
Deep neural network-based systems have significantly improved the perfor...
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08/28/2023
InstructME: An Instruction Guided Music Edit And Remix Framework with Latent Diffusion Models
Music editing primarily entails the modification of instrument tracks or...
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08/09/2023
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks
Children possess the ability to learn multiple cognitive tasks sequentia...
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07/17/2023
Exploring Binary Classification Loss For Speaker Verification
The mismatch between close-set training and open-set testing usually lea...
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06/27/2023
Wespeaker baselines for VoxSRC2023
This report showcases the results achieved using the wespeaker toolkit f...
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05/18/2023
Attention-based Encoder-Decoder Network for End-to-End Neural Speaker Diarization with Target Speaker Attractor
This paper proposes a novel Attention-based Encoder-Decoder network for ...
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04/21/2023
Emergence of Brain-inspired Small-world Spiking Neural Network through Neuroevolution
Human brain is the product of evolution during hundreds over millions of...
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04/12/2023
Self-Supervised Learning with Cluster-Aware-DINO for High-Performance Robust Speaker Verification
Automatic speaker verification task has made great achievements using de...
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03/31/2023
Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks
The architecture design and multi-scale learning principles of the human...
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03/01/2023
Automated Task-Time Interventions to Improve Teamwork using Imitation Learning
Effective human-human and human-autonomy teamwork is critical but often ...
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11/23/2022
Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks
Developmental plasticity plays a prominent role in shaping the brain's s...
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11/22/2022
Adaptive Sparse Structure Development with Pruning and Regeneration for Spiking Neural Networks
Spiking Neural Networks (SNNs) are more biologically plausible and compu...
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11/02/2022
Build a SRE Challenge System: Lessons from VoxSRC 2022 and CNSRC 2022
Different speaker recognition challenges have been held to assess the sp...
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10/28/2022
A comprehensive study on self-supervised distillation for speaker representation learning
In real application scenarios, it is often challenging to obtain a large...
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10/24/2022
Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems
Recommender systems are fundamental information filtering techniques to ...
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09/19/2022
SJTU-AISPEECH System for VoxCeleb Speaker Recognition Challenge 2022
This report describes the SJTU-AISPEECH system for the Voxceleb Speaker ...
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08/03/2022
The SJTU System for Short-duration Speaker Verification Challenge 2021
This paper presents the SJTU system for both text-dependent and text-ind...
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08/03/2022
Self-Supervised Speaker Verification Using Dynamic Loss-Gate and Label Correction
For self-supervised speaker verification, the quality of pseudo labels d...
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06/23/2022
The SJTU X-LANCE Lab System for CNSRC 2022
This technical report describes the SJTU X-LANCE Lab system for the thre...
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05/26/2022
Cross-Architecture Self-supervised Video Representation Learning
In this paper, we present a new cross-architecture contrastive learning ...
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05/16/2022
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation
Sequential recommendation (SR) learns users' preferences by capturing th...
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04/18/2022
MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization
Video summarization intends to produce a concise video summary by effect...
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03/30/2022
AdaMixer: A Fast-Converging Query-Based Object Detector
Traditional object detectors employ the dense paradigm of scanning over ...
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01/07/2022
Semi-Supervised Clustering with Contrastive Learning for Discovering New Intents
Most dialogue systems in real world rely on predefined intents and answe...
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09/14/2021
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing
Tremendous progress has been made in sequential processing with the rece...
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07/06/2021
HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation
Session-based recommendation (SBR) learns users' preferences by capturin...
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02/25/2020
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network
Spiking Neural Networks (SNNs) have recently attracted significant resea...
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02/25/2020
RMP-SNNs: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Networks
Spiking Neural Networks (SNNs) have recently attracted significant resea...
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09/12/2019
Synthetic estimation for the complier average causal effect
We propose an improved estimator of the complier average causal effect (...
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11/19/2018
