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09/13/2023
Can Whisper perform speech-based in-context learning
This paper investigates the in-context learning abilities of the Whisper...
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08/28/2023
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
Multi-Label Image Recognition (MLIR) is a challenging task that aims to ...
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06/02/2023
Exploring semantic information in disease: Simple Data Augmentation Techniques for Chinese Disease Normalization
The disease is a core concept in the medical field, and the task of norm...
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06/02/2023
THiFLY Research at SemEval-2023 Task 7: A Multi-granularity System for CTR-based Textual Entailment and Evidence Retrieval
The NLI4CT task aims to entail hypotheses based on Clinical Trial Report...
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03/28/2023
How can Deep Learning Retrieve the Write-Missing Additional Diagnosis from Chinese Electronic Medical Record For DRG
The purpose of write-missing diagnosis detection is to find diseases tha...
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10/11/2022
Understanding the Failure of Batch Normalization for Transformers in NLP
Batch Normalization (BN) is a core and prevalent technique in accelerati...
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08/19/2022
Predicting the protein-ligand affinity from molecular dynamics trajectories
The accurate protein-ligand binding affinity prediction is essential in ...
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04/19/2022
Table-based Fact Verification with Self-adaptive Mixture of Experts
The table-based fact verification task has recently gained widespread at...
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06/21/2021
Distilling effective supervision for robust medical image segmentation with noisy labels
Despite the success of deep learning methods in medical image segmentati...
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10/22/2020
Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction
Potential Drug-Drug Interaction(DDI) occurring while treating complex or...
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09/16/2020
Measuring Information Transfer in Neural Networks
Estimation of the information content in a neural network model can be p...
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08/22/2020
Applications of BERT Based Sequence Tagging Models on Chinese Medical Text Attributes Extraction
We convert the Chinese medical text attributes extraction task into a se...
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02/25/2020
Label-guided Learning for Text Classification
Text classification is one of the most important and fundamental tasks i...
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01/12/2020
Tensor Graph Convolutional Networks for Text Classification
Compared to sequential learning models, graph-based neural networks exhi...
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08/16/2019
Learning Conceptual-Contexual Embeddings for Medical Text
External knowledge is often useful for natural language understanding ta...
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07/27/2019
Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation
Deep learning methods have achieved promising performance in many areas,...
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12/11/2018
Delta Embedding Learning
Learning from corpus and learning from supervised NLP tasks both give us...
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11/15/2018
Exploiting Sentence Embedding for Medical Question Answering
Despite the great success of word embedding, sentence embedding remains ...
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02/28/2018
Medical Exam Question Answering with Large-scale Reading Comprehension
Reading and understanding text is one important component in computer ai...
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12/15/2017
Study on a Poisson's Equation Solver Based On Deep Learning Technique
In this work, we investigated the feasibility of applying deep learning ...
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06/16/2017
The Monkeytyping Solution to the YouTube-8M Video Understanding Challenge
This article describes the final solution of team monkeytyping, who fini...
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04/27/2015
A Probabilistic Framework for Representing Dialog Systems and Entropy-Based Dialog Management through Dynamic Stochastic State Evolution
In this paper, we present a probabilistic framework for goal-driven spok...
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03/04/2013
