/dynamic-network-configuration-table

Collection of rare deep learning solutions based on dynamic network configuration and attention mechanism

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Dynamic network configuration solutions

My collection of deep learning solutions based on dynamic network configuration and attention mechanism. Awesome list of inspiration is here

Article Year Affiliation Code Smol Description Key Words
#c5f015Dynamic Algorithm Configuration:Foundation of a New Meta-Algorithmic Framework [blog] 2020 Germany code Hyperparameter optimization
#c5f015BOHB: Robust and Efficient Hyperparameter Optimization at Scale [blog] 2018 Germany code Hyperparameter optimization
#1589F0Not All Attention Is Needed: Gated Attention Network for Sequence Data [blog] 2019 Hong-Kong, Amazon -/- Attention mechanism, dynamic network configuration, sequential models, NLP, text classification
#f03c15Multi-Dimension Modulation for Image Restoration with Dynamic Controllable Residual Learning [review] 2019 China code Image restoration, interactive multi-dimension modulation
#c5f015MixPath: A Unified Approach for One-shot Neural Architecture Search 2020 China, Xiaomi code supernet, multi-path search space
#f03c15Graph Attention Networks [blog] 2018 Europe, Canada code graph, attention mechanism, graph-structured data
#f03c15Fully Convolutional Network with Multi-Step Reinforcement Learningfor Image Processing [review} 2018 Japan -/- RL, pixel-wise agents, image restoration
#1589F0Balanced One-shot Neural Architecture Optimization 2019 China, Microsoft Asia -/- supernet, neural architecture search

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