Search Results for author: Wei Tan

Found 18 papers, 5 papers with code

FMViT: A multiple-frequency mixing Vision Transformer

no code implementations9 Nov 2023 Wei Tan, Yifeng Geng, Xuansong Xie

On CoreML, FMViT outperforms MobileOne by 2. 6% in top-1 accuracy on the ImageNet dataset, with inference latency comparable to MobileOne (78. 5% vs. 75. 9%).

Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition

no code implementations2 Nov 2023 Haocheng Luo, Wei Tan, Ngoc Dang Nguyen, Lan Du

Active learning, a widely adopted technique for enhancing machine learning models in text and image classification tasks with limited annotation resources, has received relatively little attention in the domain of Named Entity Recognition (NER).

Active Learning Image Classification +3

Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?

no code implementations2 Nov 2023 Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray Buntine, Richard Beare, Changyou Chen

Named entity recognition (NER), a task that identifies and categorizes named entities such as persons or organizations from text, is traditionally framed as a multi-class classification problem.

Low Resource Named Entity Recognition Meta-Learning +4

Using Large Language Models to Provide Explanatory Feedback to Human Tutors

no code implementations27 Jun 2023 Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger

Research demonstrates learners engaging in the process of producing explanations to support their reasoning, can have a positive impact on learning.

Binary Classification Data Augmentation +4

Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets

no code implementations15 Apr 2023 Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic

We note that many prior studies on classifying educational DAs employ cross entropy (CE) loss to optimize DA classifiers on low-resource data with imbalanced DA distribution.

Modelling Pre-fatigue, Low-velocity Impact and Fatigue behaviours of Composite Helicopter Tail Structures under Multipoint Coordinated Loading Spectrum

no code implementations5 May 2022 Zheng-Qiang Cheng, Wei Tan, Jun-Jiang Xiong

This paper aims to numerically study the pre-fatigue, low-velocity impact (LVI) and fatigue progressive damage behaviours of a full-scale composite helicopter tail structure under multipoint coordinated loading spectrum.

Diversity Enhanced Active Learning with Strictly Proper Scoring Rules

1 code implementation NeurIPS 2021 Wei Tan, Lan Du, Wray Buntine

We convert the ELR framework to estimate the increase in (strictly proper) scores like log probability or negative mean square error, which we call Bayesian Estimate of Mean Proper Scores (BEMPS).

Active Learning text-classification +1

Matrix Factorization on GPUs with Memory Optimization and Approximate Computing

1 code implementation11 Aug 2018 Wei Tan, Shiyu Chang, Liana Fong, Cheng Li, Zijun Wang, Liangliang Cao

Current MF implementations are either optimized for a single machine or with a need of a large computer cluster but still are insufficient.

Collaborative Filtering Data Compression

An influence-based fast preceding questionnaire model for elderly assessments

no code implementations22 Nov 2017 Tong Mo, Rong Zhang, Weiping Li, Jingbo Zhang, Zhonghai Wu, Wei Tan

The practice in an elderly-care company shows that the FPQM can reduce the number of attributes by 90. 56% with a prediction accuracy of 98. 39%.

Dilated Recurrent Neural Networks

2 code implementations NeurIPS 2017 Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang

To provide a theory-based quantification of the architecture's advantages, we introduce a memory capacity measure, the mean recurrent length, which is more suitable for RNNs with long skip connections than existing measures.

Sequential Image Classification

Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs

3 code implementations11 Mar 2016 Wei Tan, Liangliang Cao, Liana Fong

Matrix factorization (MF) is employed by many popular algorithms, e. g., collaborative filtering.

Distributed, Parallel, and Cluster Computing Performance

Sentiment Analysis based on User Tag for Traditional Chinese Medicine in Weibo

no code implementations13 Oct 2014 Junhui Shen, Peiyan Zhu, Rui Fan, Wei Tan

To the best of our knowledge, the present work is the first attempt that applies sentiment analysis to the domain of TCM on Sina Weibo (a twitter-like microblogging service in China).

Cultural Vocal Bursts Intensity Prediction Sentiment Analysis +1

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