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Interpreting Sentiment Composition with Latent Semantic Tree 会议论文
, Toronto, Canada, 2023-7-9
作者:  Zhongtao Jiang;  Yuanzhe Zhang;  Cao Liu;  Jiansong Chen;  Jun Zhao;  Kang Liu
Adobe PDF(509Kb)  |  收藏  |  浏览/下载：23/12  |  提交时间：2024/06/06
Machine Learning Methods in Solving the Boolean Satisfiability Problem 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 640-655
作者:  Wenxuan Guo;  Hui-Ling Zhen;  Xijun Li;  Wanqian Luo;  Mingxuan Yuan;  Yaohui Jin;  Junchi Yan
Adobe PDF(1518Kb)  |  收藏  |  浏览/下载：47/15  |  提交时间：2024/04/23
Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization  
A Study of Using Synthetic Data for Effective Association Knowledge Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 194-206
作者:  Yuchi Liu;  Zhongdao Wang;  Xiangxin Zhou;  Liang Zheng
Adobe PDF(2006Kb)  |  收藏  |  浏览/下载：40/15  |  提交时间：2024/04/23
Multi-object tracking (MOT)  data association  synthetic data  motion simulation  association knowledge learning  
Brain-inspired neural circuit evolution for spiking neural networks 期刊论文
Proceedings of the National Academy of Sciences (PNAS), 2023, 卷号: 120, 期号: 39, 页码: 10
作者:  Shen, Guobin;  Zhao, Dongcheng;  Dong, Yiting;  Zeng, Yi
Adobe PDF(8398Kb)  |  收藏  |  浏览/下载：56/11  |  提交时间：2024/02/21
brain-inspired  neural circuit evolution  spiking neural networks  
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 9, 页码: 9154-9167
作者:  Zhang, Jinghao;  Zhu, Yanqiao;  Liu, Qiang;  Zhang, Mengqi;  Wu, Shu;  Wang, Liang
Adobe PDF(1134Kb)  |  收藏  |  浏览/下载：129/2  |  提交时间：2023/11/17
Multimedia recommendation  graph structure learning  contrastive learning  
Attention Weighted Local Descriptors 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 9, 页码: 10632-10649
作者:  Wang, Changwei;  Xu, Rongtao;  Lu, Ke;  Xu, Shibiao;  Meng, Weiliang;  Zhang, Yuyang;  Fan, Bin;  Zhang, Xiaopeng
Adobe PDF(8075Kb)  |  收藏  |  浏览/下载：154/5  |  提交时间：2023/11/17
Local features detection and description  consistent attention mechanism  context augmentation  lightweight local descriptors  knowledge distillation  
Face Forgery Detection by 3D Decomposition and Composition Search 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8342-8357
作者:  Zhu, Xiangyu;  Fei, Hongyan;  Zhang, Bin;  Zhang, Tianshuo;  Zhang, Xiaoyu;  Li, Stan Z.;  Lei, Zhen
收藏  |  浏览/下载：173/0  |  提交时间：2023/11/17
Faces  Forgery  Three-dimensional displays  Face recognition  Feature extraction  Lighting  Computer architecture  Composition search  differentiable search  fake face  forgery detection  3D decomposition  3D face model  
ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8920-8935
作者:  Cao, Jie;  Luo, Mandi;  Yu, Junchi;  Yang, Ming-Hsuan;  He, Ran
Adobe PDF(1823Kb)  |  收藏  |  浏览/下载：112/3  |  提交时间：2023/11/17
Generative adversarial networks  image synthesis  data augmentation  few-shot image-to-image translation  
Self-Supervised Monocular Depth Estimation With Geometric Prior and Pixel-Level Sensitivity 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2244-2256
作者:  Liu, Jierui;  Cao, Zhiqiang;  Liu, Xilong;  Wang, Shuo;  Yu, Junzhi
Adobe PDF(8291Kb)  |  收藏  |  浏览/下载：143/8  |  提交时间：2023/11/17
Estimation  Costs  Training  Sensitivity  Cameras  Optical flow  Semantics  Monocular depth estimation  self-supervised learning  prior feature consistency  sensitivity adaptation  
Differentiable RandAugment: Learning Selecting Weights and Magnitude Distributions of Image Transformations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 2413-2427
作者:  Xiao, Anqi;  Shen, Biluo;  Tian, Jie;  Hu, Zhenhua
收藏  |  浏览/下载：73/0  |  提交时间：2023/11/17
Task analysis  Training  Data models  Costs  Optimization  Search problems  Upper bound  Data augmentation  automated machine learning  differentiable optimization  random augmentation