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A Deep Model for Partial Multi-label Image Classification with Curriculum-based Disambiguation 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 801-814
作者:  Feng Sun;  Ming-Kun Xie;  Sheng-Jun Huang
Adobe PDF(1337Kb)  |  收藏  |  浏览/下载：30/8  |  提交时间：2024/07/18
Partial multi-label image classification  curriculum-based disambiguation  consistency regularization  label difficulty  candidate label set.  
Learning Top-K Subtask Planning Tree Based on Discriminative Representation Pretraining for Decision-making 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 782-800
作者:  Jingqing Ruan;   Kaishen Wang;   Qingyang Zhang;   Dengpeng Xing;   Bo Xu
Adobe PDF(4577Kb)  |  收藏  |  浏览/下载：27/12  |  提交时间：2024/07/18
Reinforcement learning  representation learning  subtask planning  task decomposition  pretraining.  
Optimal Strategy for Aircraft Pursuit-evasion Games via Self-play Iteration 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 585-596
作者:  Xin Wang;  Qing-Lai Wei;  Tao Li;  Jie Zhang
Adobe PDF(1750Kb)  |  收藏  |  浏览/下载：75/25  |  提交时间：2024/05/23
Differential games, pursuit-evasion games, nonlinear control, optimal control, Nash equilibrium solution  
Generalized Embedding Machines for Recommender Systems 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 571-584
作者:  Enneng Yang;  Xin Xin;  Li Shen;  Yudong Luo;  Guibing Guo
Adobe PDF(1617Kb)  |  收藏  |  浏览/下载：76/27  |  提交时间：2024/05/23
Feature interactions, high-order interaction, factorization machine (FM), recommender system, graph neural network (GNN)  
An Empirical Study on Google Research Football Multi-agent Scenarios 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 549-570
作者:  Yan Song;  He Jiang;  Zheng Tian;  Haifeng Zhang;  Yingping Zhang;  Jiangcheng Zhu;  Zonghong Dai;  Weinan Zhang;  Jun Wang
Adobe PDF(24588Kb)  |  收藏  |  浏览/下载：65/19  |  提交时间：2024/05/23
Multi-agent reinforcement learning (RL), distributed RL system, population-based training, reward shaping, game theory  
Overhead-free Noise-tolerant Federated Learning: A New Baseline 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 526-537
作者:  Shiyi Lin;  Deming Zhai;  Feilong Zhang;  Junjun Jiang;  Xianming Liu;  Xiangyang Ji
Adobe PDF(1816Kb)  |  收藏  |  浏览/下载：61/17  |  提交时间：2024/05/23
Federated learning, noise-label learning, privacy-preserving machine learning, edge intelligence, distributed machine learning  
Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 411-430
作者:  Qiyue Yin;  Tongtong Yu;  Shengqi Shen;  Jun Yang;  Meijing Zhao;  Wancheng Ni;  Kaiqi Huang;  Bin Liang;  Liang Wang
Adobe PDF(2923Kb)  |  收藏  |  浏览/下载：58/21  |  提交时间：2024/05/23
Deep reinforcement learning, distributed machine learning, self-play, population-play, toolbox  
Enhancing Multi-agent Coordination via Dual-channel Consensus 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 349-368
作者:  Qingyang Zhang;  Kaishen Wang;  Jingqing Ruan;  Yiming Yang;  Dengpeng Xing;  Bo Xu
Adobe PDF(4997Kb)  |  收藏  |  浏览/下载：84/29  |  提交时间：2024/04/23
Multi-agent reinforcement learning, contrastive representation learning, consensus, multi-agent cooperation, cognitive consistency  
Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty? 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 283-293
作者:  Bowen Chen;  Xiao Ding;  Yi Zhao;  Bo Fu;  Tingmao Lin;  Bing Qin;  Ting Liu
Adobe PDF(1796Kb)  |  收藏  |  浏览/下载：68/15  |  提交时间：2024/04/23
Cognition inspired natural language processing, psycholinguistics, explainability, text difficulty, curriculum learning  
Weakly Supervised Object Localization with Background Suppression Erasing for Art Authentication and Copyright Protection 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 89-103
作者:  Chaojie Wu;  Mingyang Li;  Ying Gao;  Xinyan Xie;  Wing W. Y. Ng;  Ahmad Musyafa
Adobe PDF(7319Kb)  |  收藏  |  浏览/下载：54/22  |  提交时间：2024/04/23
Weakly supervised object localization, erasing method, deep learning, computer vision, art authentication and copyright protection