no code implementations • ICON 2021 • Hefei Qiu, Wei Ding, Ping Chen
Learning sentence representations which capture rich semantic meanings has been crucial for many NLP tasks.
no code implementations • 14 Nov 2023 • Zi Yin, Wei Ding, Jia Liu
Large Language Models (LLMs) are central to a multitude of applications but struggle with significant risks, notably in generating harmful content and biases.
no code implementations • 5 Sep 2023 • Siyang Jiang, Rui Fang, Hsi-Wen Chen, Wei Ding, Ming-Syan Chen
The key feature of RSQS is that the individual samples in a meta-task are subjected to multiple distribution shifts in each meta-task.
no code implementations • 9 Dec 2022 • So Yeon Min, Yao-Hung Hubert Tsai, Wei Ding, Ali Farhadi, Ruslan Salakhutdinov, Yonatan Bisk, Jian Zhang
In contrast, our LocCon shows the most robust transfer in the real world among the set of models we compare to, and that the real-world performance of all models can be further improved with self-supervised LocCon in-situ training.
2 code implementations • 28 Nov 2022 • Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang, Ping Chen
Furthermore, the coupled training approach prevents these models transferring category-specific knowledge explicitly from labeled data to unlabeled data, which can lose high-level semantic information and impair model performance.
1 code implementation • 8 May 2022 • Siyang Jiang, Wei Ding, Hsi-Wen Chen, Ming-Syan Chen
Few-shot learning methods aim to embed the data to a low-dimensional embedding space and then classify the unseen query data to the seen support set.
1 code implementation • 23 Oct 2021 • Yihan Lin, Wei Ding, Shaohua Qiang, Lei Deng, Guoqi Li
With event-driven algorithms, especially the spiking neural networks (SNNs), achieving continuous improvement in neuromorphic vision processing, a more challenging event-stream-dataset is urgently needed.
1 code implementation • 6 Apr 2021 • Ahmed Elnaggar, Wei Ding, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Silvia Severini, Florian Matthes, Burkhard Rost
Simultaneously, the transformer model, especially its combination with transfer learning, has been proven to be a powerful technique for natural language processing tasks.
1 code implementation • CVPR 2021 • Peng Dai, Renliang Weng, Wongun Choi, ChangShui Zhang, Zhangping He, Wei Ding
In this paper, we propose a novel proposal-based learnable framework, which models MOT as a proposal generation, proposal scoring and trajectory inference paradigm on an affinity graph.
no code implementations • 13 Aug 2020 • Dongfang Liu, Yiming Cui, Xiaolei Guo, Wei Ding, Baijian Yang, Yingjie Chen
It is a common practice for vehicles to use GPS to acquire location information.
1 code implementation • 2 May 2020 • Weihua He, Yujie Wu, Lei Deng, Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang, Yuan Xie
Neuromorphic data, recording frameless spike events, have attracted considerable attention for the spatiotemporal information components and the event-driven processing fashion.
Ranked #11 on Gesture Recognition on DVS128 Gesture
no code implementations • 23 Feb 2020 • Matthew Almeida, Wei Ding, Scott Crouter, Ping Chen
To overcome this dilemma, we take a different perspective and investigate a new approach to handle inaccuracy and uncertainty in the training data labels, which are inevitable in many applications where labels are conceptual and labeling is performed by human annotators.
no code implementations • 20 Feb 2020 • Kevin M. Amaral, Zihan Li, Wei Ding, Scott Crouter, Ping Chen
Summarization conducted by the \textit{SummerTime} method will be a fixed-length feature vector which can be used in-place of the time series dataset for use with classical machine learning methods.
3 code implementations • 8 Nov 2019 • Haifeng Liu, Wei Ding, Yu-An Chen, Weilong Guo, Shuoran Liu, Tianpeng Li, Mofei Zhang, Jianxing Zhao, Hongyin Zhu, Zhengyi Zhu
We propose CFS, a distributed file system for large scale container platforms.
Distributed, Parallel, and Cluster Computing
no code implementations • 28 Apr 2019 • Wei Ding, KwangSoo Yang, Kwang Woo Nam
In this paper, we propose new algorithm that can group both spatial locations and points of view to identify similar trajectories.
no code implementations • 1 Oct 2018 • Quan Geng, Wei Ding, Ruiqi Guo, Sanjiv Kumar
We show that the multiplicative gap of the lower bounds and upper bounds goes to zero in various high privacy regimes, proving the tightness of the lower and upper bounds and thus establishing the optimality of the truncated Laplacian mechanism.
no code implementations • 26 Sep 2018 • Quan Geng, Wei Ding, Ruiqi Guo, Sanjiv Kumar
We derive the optimal $(0, \delta)$-differentially private query-output independent noise-adding mechanism for single real-valued query function under a general cost-minimization framework.
no code implementations • 21 Apr 2017 • Ping Chen, Fei Wu, Tong Wang, Wei Ding
In this paper, we will present some preliminary results on one especially useful and challenging problem in NLP system evaluation: how to pinpoint content differences of two text passages (especially for large pas-sages such as articles and books).
no code implementations • 5 Apr 2017 • Kevin M. Amaral, Ping Chen, Scott Crouter, Wei Ding
For this, our approach utilizes a mathematical model originating in natural language processing, the bag-of-words model, that has in the past years been appearing in diverse disciplines outside of the natural language processing field such as image processing.
no code implementations • 26 Apr 2016 • Henry Z. Lo, Kevin Amaral, Wei Ding
One of the difficulties of training deep neural networks is caused by improper scaling between layers.
no code implementations • 14 Mar 2016 • Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di
This work describes algorithms for performing discrete object detection, specifically in the case of buildings, where usually only low quality RGB-only geospatial reflective imagery is available.
1 code implementation • 2 Mar 2016 • Kui Yu, Wei Ding, Xindong Wu
As an emerging research direction, online streaming feature selection deals with sequentially added dimensions in a feature space while the number of data instances is fixed.
1 code implementation • 18 Feb 2016 • Joseph Paul Cohen, Henry Z. Lo, Wei Ding
We propose to evaluate and replace specific convolutional filters that have little impact on the prediction.
1 code implementation • 5 Jan 2016 • Joseph Paul Cohen, Henry Z. Lo, Ting-ting Lu, Wei Ding
The power of CNNs is that they can learn image filters which generate features for high accuracy classification.
1 code implementation • 30 Nov 2015 • Kui Yu, Xindong Wu, Wei Ding, Jian Pei
Feature selection is important in many big data applications.
no code implementations • 5 Oct 2015 • Dongping Fang, Elizabeth Oberlin, Wei Ding, Samuel P. Kounaves
Data quality is fundamentally important to ensure the reliability of data for stakeholders to make decisions.
1 code implementation • 6 May 2015 • Joseph Paul Cohen, Wei Ding, Abraham Bagherjeiran
We propose the XTreePath annotation method to captures contextual node information from the training DOM.