中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
State of the Art on Deep Learning-enhanced Rendering Methods 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 799-821
作者:  Qi Wang;  Zhihua Zhong;  Yuchi Huo;  Hujun Bao;  Rui Wang
Adobe PDF(6540Kb)  |  收藏  |  浏览/下载：42/15  |  提交时间：2024/04/23
Neural rendering, computer graphics, scene representation, rendering, post-processing  
A Survey on Collaborative DNN Inference for Edge Intelligence 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 370-395
作者:  Wei-Qing Ren;  Yu-Ben Qu;  Chao Dong;  Yu-Qian Jing;  Hao Sun;  Qi-Hui Wu;  Song Guo
Adobe PDF(2969Kb)  |  收藏  |  浏览/下载：27/8  |  提交时间：2024/04/23
Artificial intelligence (AI), edge intelligence (EI), distributed computing, deep neural network (DNN), collaborative inference  
AI in Human-computer Gaming: Techniques, Challenges and Opportunities 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 299-317
作者:  Qi-Yue Yin;  Jun Yang;  Kai-Qi Huang;  Mei-Jing Zhao;  Wan-Cheng Ni;  Bin Liang;  Yan Huang;  Shu Wu;  Liang Wang
Adobe PDF(2608Kb)  |  收藏  |  浏览/下载：31/6  |  提交时间：2024/04/23
Human-computer gaming, AI, intelligent decision making, deep reinforcement learning, self-play  
Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-level Backdoor Attacks 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 180-193
作者:  Zhengyan Zhang;  Guangxuan Xiao;  Yongwei Li;  Tian Lv;  Fanchao Qi;  Zhiyuan Liu;  Yasheng Wang;  Xin Jiang;  Maosong Sun
Adobe PDF(1649Kb)  |  收藏  |  浏览/下载：28/8  |  提交时间：2024/04/23
Pre-trained language models  backdoor attacks  transformers  natural language processing (NLP)  computer vision (CV)  
Visual Superordinate Abstraction for Robust Concept Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 79-91
作者:  Qi Zheng;  Chao-Yue Wang;  Dadong Wang;  a-Cheng Tao
Adobe PDF(2703Kb)  |  收藏  |  浏览/下载：26/7  |  提交时间：2024/04/23
Concept learning  visual question answering  weakly-supervised learning  multi-modal learning  curriculum learning