A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Ron Graham
This paper establishes worst-case bounds on the slowdown caused by list scheduling anomalies in multiprocessor systems.
Yueyi Liu, Chi Zhang, Sen Cui, et al.
ElasticTTT introduces a prior-preserving test-time tuning framework for video editing that prevents prior collapse via target distribution regularization, contrastive CFG, and asynchronous noise scheduling.
Zhisheng Ye, Wei Gao, Qinghao Hu, et al.
A survey of deep learning workload scheduling in GPU datacenters, covering training and inference, objectives, resource utilization, and future directions.
Guangyao Zhou, Wenhong Tian, Rajkumar Buyya, et al.
A comprehensive review of deep reinforcement learning methods for resource scheduling in cloud computing, highlighting advantages over classic algorithms and future directions.