本周,全球 AI 顶会 AAAI 2024 正式开幕,目前已公布了最佳论文(Outstanding Paper Award)等多个重要奖项。 AAAI 全称为国际先进人工智能协会 (Association for the Advancement of Artificial Intelligence),其每年举办的现场会议是人工智能领域里历史最悠久、涵盖内容最广泛的的国际顶级学术会议之一,今年已是第 38 届。
In this paper, we propose a general framework for server momentum, that (a) covers a large class of momentum schemes that are unexplored in federated learning (FL), (b) enables a popular stagewise hyperparameter scheduler, (c) allows heterogeneous and asynchronous local computing. We provide ri...
Statistics and Visualization of acceptance rate, main keyword of AAAI 2020 accepted papers - AAAI-2020-Paper-Statistics/AAAI-20-Accepted-Paper-List.txt at master · hoya012/AAAI-2020-Paper-Statistics
Accpted Paper List: https://aaai.org/Conferences/AAAI-19/wp-content/uploads/2018/11/AAAI-19_Accepted_Papers.pdf Wordshop: https://aaai.org/Conferences/AAAI-19/ws19/ Invited Speaker: https://aaai.org/Conferences/AAAI-19/invited-speakers/ ...
AAAI-2024 Papers is a comprehensive collection of innovative research papers presented at the premier artificial intelligence conference. This repository seamlessly integrates code implementations for better understanding, allowing users to explore and i
北京时间2月23日凌晨,在加拿大温哥华召开的第38届AAAI人工智能大会(AAAI 2024 : The 38th Annual AAAI Conference on Artificial Intelligence)公布了多个重要论文奖项,西安电子科技大学计算机科学与技术学院赵伟教授团队徐偲副教授的研究成果《Reliable Conflictive Multi-view Learning》获得最佳论文奖(Outstanding Paper Award...
北京时间2月23日凌晨,在加拿大温哥华召开的第38届AAAI人工智能大会(AAAI 2024 : The 38th Annual AAAI Conference on Artificial Intelligence)公布了多个重要论文奖项,西安电子科技大学计算机科学与技术学院赵伟教授团队徐偲副教授的研究成果《Reliabl...
AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning - TsingZ0/FedTGP
CVPR 24文生图paper更新📋 | CVPR 2024文生图paper list更新完毕! 今年CVPR文生图paper确实多 一共搜集60篇 按研究方向均已分类收录至GitHub仓库中 感兴趣的朋友可以参考一下 顺手点个star吧🤓 后续继续更新: AAAI 2024 paper ICLR 2024 paper 视频生成CVPR、AAAI、ICLR 24年发表paper ...
AAAI 2024 动机:视觉定位标注难?以有余补不足 视觉定位(visual grounding)是重要的视频-语言理解任务,要求根据自然语言输入定位图片中相关的物体与区域,包括两类子任务: 指代表达理解(refering expressin comprehension,简称 REC):根据文本指代描述在图片中定位相应的单个物体; ...