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08/22/2023
Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models
Large Language Models (LLMs) have revolutionized Natural Language Proces...
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07/28/2023
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding
This work aims at decreasing the end-to-end generation latency of large ...
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07/08/2023
Fairness-Aware Graph Neural Networks: A Survey
Graph Neural Networks (GNNs) have become increasingly important due to t...
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06/04/2023
CDLT: A Dataset with Concept Drift and Long-Tailed Distribution for Fine-Grained Visual Categorization
Data is the foundation for the development of computer vision, and the e...
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05/18/2023
Annotation-free Audio-Visual Segmentation
The objective of Audio-Visual Segmentation (AVS) is to localise the soun...
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05/04/2023
High-dimensional Bayesian Optimization via Semi-supervised Learning with Optimized Unlabeled Data Sampling
Bayesian optimization (BO) is a powerful tool for seeking the global opt...
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04/27/2023
Two kinds of numerical algorithms for ultra-slow diffusion equations
In this article, two kinds of numerical algorithms are derived for the u...
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02/09/2023
Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer
The number of traffic accidents has been continuously increasing in rece...
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12/24/2022
DDH-QA: A Dynamic Digital Humans Quality Assessment Database
In recent years, large amounts of effort have been put into pushing forw...
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09/26/2022
Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization
Outlier detection tasks have been playing a critical role in AI safety. ...
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07/16/2022
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS
One-shot Neural Architecture Search (NAS) has been widely used to discov...
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07/11/2022
Multi-level Fusion of Wav2vec 2.0 and BERT for Multimodal Emotion Recognition
The research and applications of multimodal emotion recognition have bec...
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03/17/2022
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation
Federated Learning (FL) on knowledge graphs (KGs) has yet to be as well ...
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01/17/2022
Low hardware consumption, resolution-configurable Gray code oscillator time-to-digital converters implemented in 16nm, 20nm and 28nm FPGAs
This paper presents a low hardware consumption, resolution-configurable,...
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12/08/2021
Multiway Ensemble Kalman Filter
In this work, we study the emergence of sparsity and multiway structures...
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12/01/2021
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Graph Neural Networks (GNNs) have achieved unprecedented success in lear...
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10/26/2021
Meta-learning with an Adaptive Task Scheduler
To benefit the learning of a new task, meta-learning has been proposed t...
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04/16/2021
Membership Inference Attacks on Knowledge Graphs
Knowledge graphs have become increasingly popular supplemental informati...
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04/03/2021
ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of Kaldi
The availability of open-source software is playing a remarkable role in...
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03/24/2021
FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning
Client-wise heterogeneity is one of the major issues that hinder effecti...
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03/16/2021
Track to Detect and Segment: An Online Multi-Object Tracker
Most online multi-object trackers perform object detection stand-alone i...
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03/02/2021
The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games
Proximal Policy Optimization (PPO) is a popular on-policy reinforcement ...
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03/01/2021
CogDL: An Extensive Toolkit for Deep Learning on Graphs
Graph representation learning aims to learn low-dimensional node embeddi...
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10/22/2020
Face Hallucination Using Split-Attention in Split-Attention Network
Face hallucination is a domain-specific super-resolution (SR), that gene...
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07/13/2020
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
Computational biology and bioinformatics provide vast data gold-mines fr...
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06/04/2020
Towards Lower Bit Multiplication for Convolutional Neural Network Training
Convolutional Neural Networks (CNNs) have been widely used in many field...
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04/01/2020
Differential Privacy for Sequential Algorithms
We study the differential privacy of sequential statistical inference an...
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02/28/2020
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
We propose to pre-train a unified language model for both autoencoding a...
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05/08/2019
Unified Language Model Pre-training for Natural Language Understanding and Generation
This paper presents a new Unified pre-trained Language Model (UniLM) tha...
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05/07/2019
LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation
The extensive computational burden limits the usage of CNNs in mobile de...
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02/28/2019
IoT Virtualization: A Survey of Software Definition & Function Virtualization Techniques for Internet of Things
Internet of Things (IoT) and Network Softwarization are fast becoming co...
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02/06/2019
Heavy User Effect in A/B Testing: Identification and Estimation
On-line experimentation (also known as A/B testing) has become an integr...
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10/06/2016
