Citation Analytics

#	Paper	Citations
1	AutoML: A survey of the state-of-the-art	2,621
2	Virtual homogeneity learning: Defending against data heterogeneity in federated learning	146
3	Benchmarking the performance and energy efficiency of AI accelerators for AI training	126
4	BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems	120
5	Benchmarking deep learning models and automated model design for COVID-19 detection with chest CT scans	67
6	Automated model design and benchmarking of deep learning models for covid-19 detection with chest ct scans	57
7	Fusionai: Decentralized training and deploying llms with massive consumer-level gpus	46
8	EAGAN: Efficient two-stage evolutionary architecture search for GANs	38
9	ExpertFlow: Efficient Mixture-of-Experts Inference via Predictive Expert Caching and Token Scheduling	29
10	Evolutionary multi-objective architecture search framework: Application to covid-19 3d ct classification	27
11	Computer-aided clinical skin disease diagnosis using CNN and object detection models	24
12	Nas-lid: Efficient neural architecture search with local intrinsic dimension	22
13	Fault-Tolerant Hybrid-Parallel Training at Scale with Reliable and Efficient In-memory Checkpointing	18
14	FusionLLM: a decentralized LLM training system on geo-distributed GPUs with adaptive compression	13
15	MedPipe: End-to-End Joint Search of Data Augmentation Policy and Neural Architecture for 3D Medical Image Classification	8
16	Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework	5
17	Ghost in the cloud: Your geo-distributed large language models training is easily manipulated	4
18	Autohete: An automatic and efficient heterogeneous training system for llms	3
19	Routemark: A fingerprint for intellectual property attribution in routing-based model merging	2
20	GM-Skip: Metric-Guided Transformer Block Skipping for Efficient Vision-Language Models	1

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