no code implementations • 15 Jan 2025 • Sida Tian, Can Zhang, Wei Yuan, Wei Tan, Wenjie Zhu
XComposer contains a Generator and a Selector.
1 code implementation • 2 Jan 2025 • Haina Zhu, Yizhi Zhou, Hangting Chen, Jianwei Yu, Ziyang Ma, Rongzhi Gu, Yi Luo, Wei Tan, Xie Chen
In this paper, we propose a self-supervised music representation learning model for music understanding.
no code implementations • 18 Dec 2024 • Chenyu Yang, Shuai Wang, Hangting Chen, Jianwei Yu, Wei Tan, Rongzhi Gu, Yaoxun Xu, Yizhi Zhou, Haina Zhu, Haizhou Li
The emergence of novel generative modeling paradigms, particularly audio language models, has significantly advanced the field of song generation.
no code implementations • 1 May 2024 • Jionghao Lin, Eason Chen, Zeifei Han, Ashish Gurung, Danielle R. Thomas, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger
To quantify the quality of highlighted praise components identified by GPT models, we introduced a Modified Intersection over Union (M-IoU) score.
no code implementations • 15 Jan 2024 • Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray Buntine
Within the scope of natural language processing, the domain of multi-label text classification is uniquely challenging due to its expansive and uneven label distribution.
no code implementations • 15 Dec 2023 • Wei Tan, Lan Du, Wray Buntine
Expected Loss Reduction (ELR) focuses on a Bayesian estimate of the reduction in classification error, and more general costs fit in the same framework.
no code implementations • 21 Nov 2023 • Shufa Wei, Xiaolong Xu, Xianbiao Qi, Xi Yin, Jun Xia, Jingyi Ren, Peijun Tang, Yuxiang Zhong, Yihao Chen, Xiaoqin Ren, Yuxin Liang, Liankai Huang, Kai Xie, Weikang Gui, Wei Tan, Shuanglong Sun, Yongquan Hu, Qinxian Liu, Nanjin Li, Chihao Dai, Lihua Wang, Xiaohui Liu, Lei Zhang, Yutao Xie
Our training corpus mainly consists of academic papers, thesis, content from some academic domain, high-quality Chinese data and others.
no code implementations • 9 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%).
no code implementations • 2 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.
no code implementations • 2 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).
no code implementations • 27 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.
no code implementations • 15 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.
no code implementations • 12 Apr 2023 • Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray Buntine
Then, the study investigates how the AL methods can select informative samples to support DA classifiers in the AL sampling process.
no code implementations • 9 Dec 2022 • Ngoc Dang Nguyen, Wei Tan, Wray Buntine, Richard Beare, Changyou Chen, Lan Du
To the best of our knowledge, this is the first work that brings AUC maximization to the NER setting.
Low Resource Named Entity Recognition
named-entity-recognition
+2
no code implementations • 5 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.
no code implementations • Findings (ACL) 2022 • Ruoxi Xu, Hongyu Lin, Meng Liao, Xianpei Han, Jin Xu, Wei Tan, Yingfei Sun, Le Sun
Events are considered as the fundamental building blocks of the world.
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).
1 code implementation • 11 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.
no code implementations • 22 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%.
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.
Ranked #24 on
Sequential Image Classification
on Sequential MNIST
2 code implementations • 19 Oct 2016 • Xiaolong Xie, Wei Tan, Liana L. Fong, Yun Liang
overcomes the issue of memory discontinuity.
3 code implementations • 11 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
no code implementations • 13 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