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09/19/2023
A Hierarchy-based Analysis Approach for Blended Learning: A Case Study with Chinese Students
Blended learning is generally defined as the combination of traditional ...
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08/22/2023
Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models
Multimodal data, which can comprehensively perceive and recognize the ph...
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07/27/2023
SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark
Large language models (LLMs) have shown the potential to be integrated i...
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07/27/2023
MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image Segmentation
The UNet architecture, based on Convolutional Neural Networks (CNN), has...
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05/24/2023
P-vectors: A Parallel-Coupled TDNN/Transformer Network for Speaker Verification
Typically, the Time-Delay Neural Network (TDNN) and Transformer can serv...
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11/14/2022
Discovering A Variety of Objects in Spatio-Temporal Human-Object Interactions
Spatio-temporal Human-Object Interaction (ST-HOI) detection aims at dete...
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05/24/2022
Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Classification
Deep neural networks generally perform poorly with datasets that suffer ...
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03/22/2022
On Robust Classification using Contractive Hamiltonian Neural ODEs
Deep neural networks can be fragile and sensitive to small input perturb...
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03/04/2022
Weighted Simultaneous Algebra Reconstruction Technique (wSART) for Additive Light Field Synthesis
We apply an iterative weighting scheme for additive light field synthesi...
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02/14/2022
HAKE: A Knowledge Engine Foundation for Human Activity Understanding
Human activity understanding is of widespread interest in artificial int...
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11/16/2021
DataCLUE: A Benchmark Suite for Data-centric NLP
Data-centric AI has recently proven to be more effective and high-perfor...
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10/28/2021
Skeleton-Based Mutually Assisted Interacted Object Localization and Human Action Recognition
Skeleton data carries valuable motion information and is widely explored...
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09/11/2021
AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations
State-of-the-art Named Entity Recognition(NER) models rely heavily on la...
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07/15/2021
FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark
Pretrained Language Models (PLMs) have achieved tremendous success in na...
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06/15/2021
Evaluating Modules in Graph Contrastive Learning
The recent emergence of contrastive learning approaches facilitates the ...
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05/27/2021
Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design
Deep Neural Networks (DNNs) training can be difficult due to vanishing a...
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04/27/2021
A unified framework for Hamiltonian deep neural networks
Training deep neural networks (DNNs) can be difficult due to the occurre...
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04/15/2021
An Alignment-Agnostic Model for Chinese Text Error Correction
This paper investigates how to correct Chinese text errors with types of...
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01/25/2021
Transferable Interactiveness Knowledge for Human-Object Interaction Detection
Human-Object Interaction (HOI) detection is an important problem to unde...
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01/09/2021
Pushing the Envelope of Thin Crack Detection
In this study, we consider the problem of detecting cracks from the imag...
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01/08/2021
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection
In recent studies, Lots of work has been done to solve time series anoma...
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01/07/2021
Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification
Although deep convolutional neural networks (DCNNs) have achieved signif...
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10/12/2020
OCNLI: Original Chinese Natural Language Inference
Despite the tremendous recent progress on natural language inference (NL...
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04/13/2020
CLUE: A Chinese Language Understanding Evaluation Benchmark
We introduce CLUE, a Chinese Language Understanding Evaluation benchmark...
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04/02/2020
PaStaNet: Toward Human Activity Knowledge Engine
Existing image-based activity understanding methods mainly adopt direct ...
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03/03/2020
CLUECorpus2020: A Large-scale Chinese Corpus for Pre-training Language Model
In this paper, we introduce the Chinese corpus from CLUE organization, C...
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03/03/2020
CLUECorpus2020: A Large-scale Chinese Corpus for Pre-trainingLanguage Model
In this paper, we introduce the Chinese corpus from CLUE organization, C...
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01/13/2020
CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese
In this paper, we introduce the NER dataset from CLUE organization (CLUE...
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01/13/2020
CLUENER2020: Fine-grained Name Entity Recognition for Chinese
In this paper, we introduce the NER dataset from CLUE organization (CLUE...
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12/05/2019
3D Objectness Estimation via Bottom-up Regret Grouping
3D objectness estimation, namely discovering semantic objects from 3D sc...
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04/13/2019
HAKE: Human Activity Knowledge Engine
Human activity understanding is crucial for building automatic intellige...
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04/02/2019
Hierarchical method for cataract grading based on retinal images using improved Haar wavelet
Cataracts, which are lenticular opacities that may occur at different le...
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12/14/2018
Action Machine: Rethinking Action Recognition in Trimmed Videos
Existing methods in video action recognition mostly do not distinguish h...
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11/20/2018