Salman Avestimehr Journal : Proceedings of the AAAI Conference on Artificial Intelligence Url: ojs.aaai.org/index.php/ Abstract: Secure aggregation is a critical component in federated learning (FL), which enables the server to learn the aggregate model of the users without observing their local ...
which can take up a bulk of extra time, intelligent scoring tools allow teachers the ability to have their students work automatically graded. In the coronoavirus era, requiring many schools to move to online learning, the ability to give feedback at scale could provide needed support to teach...
需要加ICDAR2023交流群的,公众号【轻松参会】后台回复“ICDAR”进群 5. ICAPS2023(机器人、强化学习) ICAPS2023(International Conference on Automated Planning and Scheduling)摘要注册时间为北京时间2022年11月26日19:59,截稿时间为2022年12月1日19:59,最终通知时间为2023年2月4日。 录用率:32%(69/216)...
人工智能领域旗舰会议AAAI 2023已放出了会议程序安排，大会将于2023年2月7日至2月14日在美国华盛顿举办。
deep-learningtime-seriespytorchforecastinglinear-modelsaaaitime-series-predictiontime-series-forecastingforecasting-modelaaai2023 UpdatedJan 27, 2024 Python tigerneil/awesome-deep-rl Star1.4k Code Issues Pull requests For deep RL and the future of AI. ...
PublicationAAAI 2023Related Demo paper AIMEE: Interactive model maintenance with rule-based surrogates Owen Cornec, Rahul Nair, et al. NeurIPS 2021 Conference paper Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction Takayuki Katsuki, Kohei Miyaguc...
其实在会议中，审稿人能看见其他审稿人名字，审稿人能看见meta审稿人名字，也不算稀奇，属于正常的。如果...
AAAI invites proposals for the 2023 Spring Symposium Series, to be held at a TBD time/venue, in Palo Alto, California. The Spring Symposium Series is an annual set of meetings run in parallel at a common site. It is designed to bring colleagues together in an intimate forum while at the...
@inproceedings{wu2024test, title={Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization}, author={Wu, Yanan and Chi, Zhixiang and Wang, Yang and Plataniotis, Konstantinos N and Feng, Songhe}, booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, year={2024...
Vincent Vanhoucke是Google的首席科学家,斯坦福大学电子工程学博士,目前在Google Brain主导机器人相关的项目。Vanhoucke主要的研究领域是语音识别、计算机视觉和机器人等领域,他还即将主持机器人领域的盛会CoRL 2017(Conference on Robot Learning)。 Vanhoucke在AAAI大会中提到:机器智能现在已经发展到一个相当的水准,在某些特...