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Found 3 papers, 2 papers with code
Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing
In semiconductor industry, classifying abnormal time-series sensor data from normal data is important because it is directly related to wafer defect.
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning
To overcome such limitations, we propose Hardware-adaptive Efficient Latency Predictor (HELP), which formulates the device-specific latency estimation problem as a meta-learning problem, such that we can estimate the latency of a model's performance for a given task on an unseen device with a few samples.
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning
To overcome such limitations, we propose Hardware-adaptive Efficient Latency Predictor (HELP), which formulates the device-specific latency estimation problem as a meta-learning problem, such that we can estimate the latency of a model's performance for a given task on an unseen device with a few samples.
