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09/16/2023
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels
Since annotating medical images for segmentation tasks commonly incurs e...
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09/07/2023
Can Large Language Models Discern Evidence for Scientific Hypotheses? Case Studies in the Social Sciences
Hypothesis formulation and testing are central to empirical research. A ...
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08/11/2023
Bilingual Streaming ASR with Grapheme units and Auxiliary Monolingual Loss
We introduce a bilingual solution to support English as secondary locale...
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07/26/2023
It's Not Just GitHub: Identifying Data and Software Sources Included in Publications
Paper publications are no longer the only form of research product. Due ...
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07/18/2023
Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction
Ordinal regression refers to classifying object instances into ordinal c...
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06/03/2023
A Novel Deep Knowledge-based Learning Method for Wind Speed Forecast
The increasing installation rate of wind power poses great challenges to...
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05/31/2023
A Novel Black Box Process Quality Optimization Approach based on Hit Rate
Hit rate is a key performance metric in predicting process product quali...
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05/24/2023
TACR: A Table-alignment-based Cell-selection and Reasoning Model for Hybrid Question-Answering
Hybrid Question-Answering (HQA), which targets reasoning over tables and...
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05/15/2023
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation
Molecular de novo design is a critical yet challenging task in scientifi...
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04/20/2023
A Study on Reproducibility and Replicability of Table Structure Recognition Methods
Concerns about reproducibility in artificial intelligence (AI) have emer...
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03/30/2023
MetaEnhance: Metadata Quality Improvement for Electronic Theses and Dissertations of University Libraries
Metadata quality is crucial for digital objects to be discovered through...
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03/23/2023
FraudAuditor: A Visual Analytics Approach for Collusive Fraud in Health Insurance
Collusive fraud, in which multiple fraudsters collude to defraud health ...
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02/17/2023
Improving Transformer-based Networks With Locality For Automatic Speaker Verification
Recently, Transformer-based architectures have been explored for speaker...
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02/08/2023
Sample-efficient Multi-objective Molecular Optimization with GFlowNets
Many crucial scientific problems involve designing novel molecules with ...
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01/28/2023
ACL-Fig: A Dataset for Scientific Figure Classification
Most existing large-scale academic search engines are built to retrieve ...
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01/07/2023
ExcelFormer: A Neural Network Surpassing GBDTs on Tabular Data
Though neural networks have achieved enormous breakthroughs on various f...
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12/12/2022
CTT-Net: A Multi-view Cross-token Transformer for Cataract Postoperative Visual Acuity Prediction
Surgery is the only viable treatment for cataract patients with visual a...
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11/30/2022
T2G-Former: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction
Recent development of deep neural networks (DNNs) for tabular learning h...
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11/12/2022
Robust Training of Graph Neural Networks via Noise Governance
Graph Neural Networks (GNNs) have become widely-used models for semi-sup...
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11/11/2022
Breaking trade-offs in speech separation with sparsely-gated mixture of experts
Several trade-offs need to be balanced when employing monaural speech se...
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11/09/2022
Speech separation with large-scale self-supervised learning
Self-supervised learning (SSL) methods such as WavLM have shown promisin...
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10/27/2022
Simulating realistic speech overlaps improves multi-talker ASR
Multi-talker automatic speech recognition (ASR) has been studied to gene...
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09/22/2022
The Microsoft System for VoxCeleb Speaker Recognition Challenge 2022
In this report, we describe our submitted system for track 2 of the VoxC...
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09/12/2022
VarArray Meets t-SOT: Advancing the State of the Art of Streaming Distant Conversational Speech Recognition
This paper presents a novel streaming automatic speech recognition (ASR)...
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09/08/2022
Multilingual Transformer Language Model for Speech Recognition in Low-resource Languages
It is challenging to train and deploy Transformer LMs for hybrid speech ...
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08/30/2022
Cardinal Optimizer (COPT) User Guide
Cardinal Optimizer is a high-performance mathematical programming solver...
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08/27/2022
Target Speaker Voice Activity Detection with Transformers and Its Integration with End-to-End Neural Diarization
This paper describes a speaker diarization model based on target speaker...
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07/21/2022
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases
Electrocardiogram (ECG) is a widely used non-invasive diagnostic tool fo...
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06/16/2022
Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network
A large number of people suffer from life-threatening cardiac abnormalit...
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06/12/2022
RL-EA: A Reinforcement Learning-Based Evolutionary Algorithm Framework for Electromagnetic Detection Satellite Scheduling Problem
The study of electromagnetic detection satellite scheduling problem (EDS...
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05/17/2022
Deploying self-supervised learning in the wild for hybrid automatic speech recognition
Self-supervised learning (SSL) methods have proven to be very successful...
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05/06/2022
Sound2Synth: Interpreting Sound via FM Synthesizer Parameters Estimation
Synthesizer is a type of electronic musical instrument that is now widel...
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04/30/2022
SciEv: Finding Scientific Evidence Papers for Scientific News
In the past decade, many scientific news media that report scientific br...
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04/27/2022
Ultra Fast Speech Separation Model with Teacher Student Learning
Transformer has been successfully applied to speech separation recently ...
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04/27/2022
Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?
Recently, self-supervised learning (SSL) has demonstrated strong perform...
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04/25/2022
Online Deep Learning from Doubly-Streaming Data
This paper investigates a new online learning problem with doubly-stream...
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04/06/2022
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
Stock market plays an important role in the economic development. Due to...
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03/30/2022
Streaming Speaker-Attributed ASR with Token-Level Speaker Embeddings
This paper presents a streaming speaker-attributed automatic speech reco...
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02/28/2022
Large-Scale 3D Semantic Reconstruction for Automated Driving Vehicles with Adaptive Truncated Signed Distance Function
The Large-scale 3D reconstruction, texturing and semantic mapping are no...
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02/14/2022
A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification
Image analysis technology is used to solve the inadvertences of artifici...
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02/07/2022
Maximizing Audio Event Detection Model Performance on Small Datasets Through Knowledge Transfer, Data Augmentation, And Pretraining: An Ablation Study
An Xception model reaches state-of-the-art (SOTA) accuracy on the ESC-50...
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02/02/2022
Streaming Multi-Talker ASR with Token-Level Serialized Output Training
This paper proposes a token-level serialized output training (t-SOT), a ...
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01/21/2022
What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review
In the past ten years, the computing power of machine vision (MV) has be...
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01/03/2022
D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation
Computer-aided medical image segmentation has been applied widely in dia...
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12/23/2021
A Synthetic Prediction Market for Estimating Confidence in Published Work
Explainably estimating confidence in published scholarly work offers opp...
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12/23/2021
PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving
The accelerating development of autonomous driving technology has placed...
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12/06/2021
DANets: Deep Abstract Networks for Tabular Data Classification and Regression
Tabular data are ubiquitous in real world applications. Although many co...
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10/28/2021
Continuous Speech Separation with Recurrent Selective Attention Network
While permutation invariant training (PIT) based continuous speech separ...
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10/26/2021
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
Self-supervised learning (SSL) achieves great success in speech recognit...
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10/12/2021
