AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
Paper
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2011.09011
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Published
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2
Papers - Neural Architecture Search
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HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Paper • 2005.14187 • Published • 2 -
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
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Efficient Architecture Search by Network Transformation
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EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
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Neural Architecture Search with Reinforcement Learning
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MicroNAS: Memory and Latency Constrained Hardware-Aware Neural Architecture Search for Time Series Classification on Microcontrollers
Paper • 2310.18384 • Published • 2 -
PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search
Paper • 2304.14636 • Published • 2 -
Can GPT-4 Perform Neural Architecture Search?
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Neural Architecture Search: Insights from 1000 Papers
Paper • 2301.08727 • Published • 2 -
ShiftNAS: Improving One-shot NAS via Probability Shift
Paper • 2307.08300 • Published • 2 -
GP-NAS-ensemble: a model for NAS Performance Prediction
Paper • 2301.09231 • Published • 2 -
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets
Paper • 2204.07615 • Published • 2 -
AutoHAS: Efficient Hyperparameter and Architecture Search
Paper • 2006.03656 • Published • 2 -
Regularized Evolution for Image Classifier Architecture Search
Paper • 1802.01548 • Published • 2 -
Intriguing Properties of Adversarial Examples
Paper • 1711.02846 • Published • 2 -
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search
Paper • 2308.03290 • Published • 5