research
∙
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...
share
research
∙
09/19/2023
USED: Universal Speaker Extraction and Diarization
Speaker extraction and diarization are two crucial enabling techniques f...
research
∙
09/15/2023
Audio-Visual Active Speaker Extraction for Sparsely Overlapped Multi-talker Speech
Target speaker extraction aims to extract the speech of a specific speak...
research
∙
09/15/2023
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes
Software plays a crucial role in our daily lives, and therefore the qual...
research
∙
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...
research
∙
09/12/2023
Unveiling Signle-Bit-Flip Attacks on DNN Executables
Recent research has shown that bit-flip attacks (BFAs) can manipulate de...
research
∙
09/11/2023
Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning (Extended Version)
Causal discovery is a powerful technique for identifying causal relation...
research
∙
09/11/2023
Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation
Screening prioritisation in medical systematic reviews aims to rank the ...
research
∙
08/31/2023
Parsing is All You Need for Accurate Gait Recognition in the Wild
Binary silhouettes and keypoint-based skeletons have dominated human gai...
research
∙
08/31/2023
Least Squares Maximum and Weighted Generalization-Memorization Machines
In this paper, we propose a new way of remembering by introducing a memo...
research
∙
08/18/2023
Deep Equilibrium Object Detection
Query-based object detectors directly decode image features into object ...
research
∙
07/20/2023
PHYFU: Fuzzing Modern Physics Simulation Engines
A physical simulation engine (PSE) is a software system that simulates p...
research
∙
07/05/2023
Compound Attention and Neighbor Matching Network for Multi-contrast MRI Super-resolution
Multi-contrast magnetic resonance imaging (MRI) reflects information abo...
research
∙
06/28/2023
Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving
While federated learning (FL) improves the generalization of end-to-end ...
research
∙
06/27/2023
Wespeaker baselines for VoxSRC2023
This report showcases the results achieved using the wespeaker toolkit f...
research
∙
06/15/2023
Towards Practical Federated Causal Structure Learning
Understanding causal relations is vital in scientific discovery. The pro...
research
∙
06/13/2023
UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding
The utilization of discrete speech tokens, divided into semantic tokens ...
research
∙
06/11/2023
Precise and Generalized Robustness Certification for Neural Networks
The objective of neural network (NN) robustness certification is to dete...
research
∙
06/07/2023
Towards Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee
Recent years have witnessed a huge demand for artificial intelligence an...
research
∙
06/05/2023
Learning from Noisy Labels Generated by Extremely Point Annotations for OCT Fluid Segmentation
Automatic segmentation of fluid in OCT (Optical Coherence Tomography) im...
research
∙
05/23/2023
iCOIL: Scenario Aware Autonomous Parking Via Integrated Constrained Optimization and Imitation Learning
Autonomous parking (AP) is an emering technique to navigate an intellige...
research
∙
05/22/2023
Taxonomy Expansion for Named Entity Recognition
Training a Named Entity Recognition (NER) model often involves fixing a ...
research
∙
05/22/2023
Causality-Aided Trade-off Analysis for Machine Learning Fairness
There has been an increasing interest in enhancing the fairness of machi...
research
∙
05/21/2023
DualVC: Dual-mode Voice Conversion using Intra-model Knowledge Distillation and Hybrid Predictive Coding
Voice conversion is an increasingly popular technology, and the growing ...
research
∙
05/19/2023
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment
We explore how weak supervision on abundant unlabeled data can be levera...
research
∙
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 ...
research
∙
05/17/2023
Explain Any Concept: Segment Anything Meets Concept-Based Explanation
EXplainable AI (XAI) is an essential topic to improve human understandin...
research
∙
05/16/2023
Adversarial Speaker Disentanglement Using Unannotated External Data for Self-supervised Representation Based Voice Conversion
Nowadays, recognition-synthesis-based methods have been quite popular wi...
research
∙
05/13/2023
Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation
Deep neural networks (DNNs) achieve promising performance in visual reco...
research
∙
05/13/2023
Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation
Source-free domain adaptation aims to adapt deep neural networks using o...
research
∙
05/04/2023
"Oops, Did I Just Say That?" Testing and Repairing Unethical Suggestions of Large Language Models with Suggest-Critique-Reflect Process
As the popularity of large language models (LLMs) soars across various a...
research
∙
04/30/2023
Edge Learning for Large-Scale Internet of Things With Task-Oriented Efficient Communication
In the Internet of Things (IoT) networks, edge learning for data-driven ...
research
∙
04/29/2023
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning
Meta-reinforcement learning enables artificial agents to learn from rela...
research
∙
04/26/2023
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models
Dataset expansion can effectively alleviate the problem of data scarcity...
research
∙
04/04/2023
Towards Open-Vocabulary Video Instance Segmentation
Video Instance Segmentation(VIS) aims at segmenting and categorizing obj...
research
∙
04/02/2023
Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System
Exploring data is crucial in data analysis, as it helps users understand...
research
∙
03/21/2023
Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization
Opinion summarization provides an important solution for summarizing opi...
research
∙
03/20/2023
Feature Alignment and Uniformity for Test Time Adaptation
Test time adaptation (TTA) aims to adapt deep neural networks when recei...
research
∙
03/17/2023
Prototype Knowledge Distillation for Medical Segmentation with Missing Modality
Multi-modality medical imaging is crucial in clinical treatment as it ca...
research
∙
03/07/2023
Bootstrap The Original Latent: Learning a Private Model from a Black-box Model
In this paper, considering the balance of data/model privacy of model ow...
research
∙
03/06/2023
On the Feasibility of Specialized Ability Extracting for Large Language Code Models
Recent progress in large language code models (LLCMs) has led to a drama...
research
∙
02/23/2023
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views
Temporal concept drift refers to the problem of data changing over time....
research
∙
02/03/2023
Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?
Systematic reviews are comprehensive reviews of the literature for a hig...
research
∙
01/31/2023
MOAT: Towards Safe BPF Kernel Extension
The Linux kernel makes considerable use of Berkeley Packet Filter (BPF) ...
research
∙
01/08/2023
Predictions of photophysical properties of phosphorescent platinum(II) complexes based on ensemble machine learning approach
Phosphorescent metal complexes have been under intense investigations as...
research
∙
01/03/2023
Differentially Private Federated Clustering over Non-IID Data
Federated clustering (FedC) is an adaptation of centralized clustering i...
research
∙
12/25/2022
Differential Flatness of Lifting-Wing Quadcopters Subject to Drag and Lift for Accurate Tracking
In this paper, we propose an effective unified control law for accuratel...
research
∙
12/19/2022
SrTR: Self-reasoning Transformer with Visual-linguistic Knowledge for Scene Graph Generation
Objects in a scene are not always related. The execution efficiency of t...
research
∙
12/18/2022
MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction
Boolean query construction is often critical for medical systematic revi...
research
∙
12/18/2022