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Found 6 papers, 2 papers with code
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization
Deploying machine learning models requires high model quality and needs to comply with application constraints.
BED: A Real-Time Object Detection System for Edge Devices
DNNs have been an effective tool for data processing and analysis.
AutoVideo: An Automated Video Action Recognition System
Action recognition is an important task for video understanding with broad applications.
Efficient Differentiable Neural Architecture Search with Model Parallelism
Differentiable NAS with supernets that encompass all potential architectures in a large graph cuts down search overhead to few GPU days or less.
Quantum Language Model with Entanglement Embedding for Question Answering
Quantum Language Models (QLMs) in which words are modelled as quantum superposition of sememes have demonstrated a high level of model transparency and good post-hoc interpretability.
Techniques for Automated Machine Learning
Automated machine learning (AutoML) aims to find optimal machine learning solutions automatically given a machine learning problem.
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