research
∙
08/04/2023
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification
Text classification is a fundamental task for natural language processin...
share
research
∙
05/07/2023
PELE scores: Pelvic X-ray Landmark Detection by Pelvis Extraction and Enhancement
The pelvis, the lower part of the trunk, supports and balances the trunk...
research
∙
05/03/2023
Multivariate Symmetry: Distribution-Free Testing via Optimal Transport
The sign test (Arbuthnott, 1710) and the Wilcoxon signed-rank test (Wilc...
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
∙
04/10/2023
Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction
Temporal relation prediction in incomplete temporal knowledge graphs (TK...
research
∙
04/10/2023
Sequential Recommendation with Diffusion Models
Generative models, such as Variational Auto-Encoder (VAE) and Generative...
research
∙
02/11/2023
Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph
In the last few years, the solution to Knowledge Graph (KG) completion v...
research
∙
12/11/2022
Learning What You Should Learn
In real teaching scenarios, an excellent teacher always teaches what he ...
research
∙
10/22/2022
R^2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference
Document-level natural language inference (DOCNLI) is a new challenging ...
research
∙
10/17/2022
A Treatise On FST Lattice Based MMI Training
Maximum mutual information (MMI) has become one of the two de facto meth...
research
∙
10/02/2022
A Kernel Measure of Dissimilarity between M Distributions
Given M ≥ 2 distributions defined on a general measurable space, we intr...
research
∙
08/30/2022
IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification
With the rapid development of automatic fake news detection technology, ...
research
∙
06/05/2022
Efficient Frozen Gaussian Sampling Algorithms for Nonadiabatic Quantum Dynamics at Metal Surfaces
In this article, we propose a Frozen Gaussian Sampling (FGS) algorithm f...
research
∙
01/20/2022
AstBERT: Enabling Language Model for Code Understanding with Abstract Syntax Tree
Using a pre-trained language model (i.e. BERT) to apprehend source codes...
research
∙
01/16/2022
SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples
Unsupervised sentence embedding aims to obtain the most appropriate embe...
research
∙
07/01/2021
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework
Knowledge Distillation (KD) is a popular technique to transfer knowledge...
research
∙
03/29/2021
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization
Cloth-Changing person re-identification (CC-ReID) aims at matching the s...
research
∙
12/29/2020
Kernel Partial Correlation Coefficient – a Measure of Conditional Dependence
In this paper we propose and study a class of simple, nonparametric, yet...
research
∙
11/26/2020
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition
Skeleton-based human action recognition has attracted much attention wit...
research
∙
11/26/2020
Constrained high-index saddle dynamics for the solution landscape with equality constraints
We propose a constrained high-index saddle dynamics (CHiSD) to search in...
research
∙
07/10/2020
Next Waves in Veridical Network Embedding
Embedding nodes of a large network into a metric (e.g., Euclidean) space...
research
∙
11/10/2019
Language Model-Driven Unsupervised Neural Machine Translation
Unsupervised neural machine translation(NMT) is associated with noise an...
research
∙
11/07/2019
SubCharacter Chinese-English Neural Machine Translation with Wubi encoding
Neural machine translation (NMT) is one of the best methods for understa...
research
∙
10/04/2019
SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units for speech recognition
Very deep CNNs achieve state-of-the-art results in both computer vision ...
research
∙
08/15/2019
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning
Rapid progress has been made in the field of reading comprehension and q...
research
∙
06/11/2019
Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension
This paper considers the reading comprehension task in which multiple do...
research
∙
06/10/2019
Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification
Open-domain targeted sentiment analysis aims to detect opinion targets a...
research
∙
08/23/2018
Attention-Guided Answer Distillation for Machine Reading Comprehension
Despite that current reading comprehension systems have achieved signifi...
research
∙
08/17/2018
Read + Verify: Machine Reading Comprehension with Unanswerable Questions
Machine reading comprehension with unanswerable questions aims to abstai...
research
∙
05/19/2018
Free-rider Episode Screening via Dual Partition Model
One of the drawbacks of frequent episode mining is that overwhelmingly m...
research
∙
11/29/2017
Senx: Sound Patch Generation for Security Vulnerabilities
Many techniques have been proposed for automatic patch generation and th...
research
∙
11/06/2017
SAIC: Identifying Configuration Files for System Configuration Management
Systems can become misconfigured for a variety of reasons such as operat...
research
∙
11/02/2017
BinPro: A Tool for Binary Source Code Provenance
Enforcing open source licenses such as the GNU General Public License (G...
research
∙
11/02/2017
Talos: Neutralizing Vulnerabilities with Security Workarounds for Rapid Response
Considerable delays often exist between the discovery of a vulnerability...
research
∙
11/02/2017
Ocasta: Clustering Configuration Settings For Error Recovery
Effective machine-aided diagnosis and repair of configuration errors con...
research
∙
03/06/2015
Maximum a Posteriori Adaptation of Network Parameters in Deep Models
We present a Bayesian approach to adapting parameters of a well-trained ...
research
∙
02/01/2015