Maintained by Difan Deng and Marius Lindauer.
The following list considers papers related to neural architecture search. It is by no means complete. If you miss a paper on the list, please let us know.
Please note that although NAS methods steadily improve, the quality of empirical evaluations in this field are still lagging behind compared to other areas in machine learning, AI and optimization. We would therefore like to share some best practices for empirical evaluations of NAS methods, which we believe will facilitate sustained and measurable progress in the field. If you are interested in a teaser, please read our blog post or directly jump to our checklist.
Transformers have gained increasing popularity in different domains. For a comprehensive list of papers focusing on Neural Architecture Search for Transformer-Based spaces, the awesome-transformer-search repo is all you need.
2020
Automated Search for Resource-Efficient Branched Multi-Task Networks Proceedings Article
In: 2020.
NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search Technical Report
2020.
Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition Technical Report
2020.
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search Technical Report
2020.
NASCaps - A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks Proceedings Article
In: pp. 114:1-114:9, 2020.
Enhanced MRI Reconstruction Network Using Neural Architecture Search Proceedings Article
In: pp. 634-643, 2020.
Discovering Multi-Hardware Mobile Models via Architecture Search Technical Report
2020.
NASE - - Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search Proceedings Article
In: pp. 2089-2092, 2020.
Towards Cardiac Intervention Assistance - Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation Proceedings Article
In: pp. 40:1-40:8, 2020.
AutoPose - Searching Multi-Scale Branch Aggregation for Pose Estimation Technical Report
2020.
Finding Fast Transformers - One-Shot Neural Architecture Search by Component Composition Technical Report
2020.
Towards Part-Aware Monocular 3D Human Pose Estimation - An Architecture Search Approach Proceedings Article
In: pp. 715-732, 2020.
AutoSTR - Efficient Backbone Search for Scene Text Recognition Proceedings Article
In: pp. 751-767, 2020.
Network Architecture Search for Domain Adaptation Technical Report
2020.
Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification Proceedings Article
In: pp. 961-965, 2020.
NASB - Neural Architecture Search for Binary Convolutional Neural Networks Proceedings Article
In: pp. 1-8, 2020.
A Surgery of the Neural Architecture Evaluators Technical Report
2020.
TF-NAS - Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search Proceedings Article
In: pp. 123-139, 2020.
Deep Convolution Features in Non-linear Embedding Space for Fundus Image Classification Journal Article
In: vol. 34, no. 3, pp. 307-313, 2020.
A Unified Approach to Anomaly Detection Proceedings Article
In: pp. 281-291, 2020.
Evolving Multi-Resolution Pooling CNN for Monaural Singing Voice Separation Technical Report
2020.
Weight-Sharing Neural Architecture Search - A Battle to Shrink the Optimization Gap Technical Report
2020.
Neural Architecture Search in Graph Neural Networks Proceedings Article
In: pp. 302-317, 2020.
Anti-bandit Neural Architecture Search for Model Defense Proceedings Article
In: pp. 70-85, 2020.
HMCNAS - Neural Architecture Search using Hidden Markov Chains and Bayesian Optimization Technical Report
2020.
Neural Architecture Search as Sparse Supernet Technical Report
2020.
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution Proceedings Article
In: pp. 685-702, 2020.
Growing Efficient Deep Networks by Structured Continuous Sparsification Technical Report
2020.
Fusion Mechanisms for Human Activity Recognition Using Automated Machine Learning Journal Article
In: vol. 8, pp. 143996-144014, 2020.
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound Proceedings Article
In: pp. 553-562, 2020.
TF-NAS - Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search Proceedings Article
In: pp. 123-139, 2020.
Efficient Oct Image Segmentation Using Neural Architecture Search Proceedings Article
In: pp. 428-432, 2020.
SOTERIA - In Search of Efficient Neural Networks for Private Inference Technical Report
2020.
What and Where - Learn to Plug Adapters via NAS for Multi-Domain Learning Technical Report
2020.
CurveLane-NAS - Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending Proceedings Article
In: pp. 689-704, 2020.
Representation Sharing for Fast Object Detector Search and Beyond Proceedings Article
In: pp. 471-487, 2020.
AttentionNAS - Spatiotemporal Attention Cell Search for Video Classification Proceedings Article
In: pp. 449-465, 2020.
Weight-Sharing Neural Architecture Search - A Battle to Shrink the Optimization Gap Technical Report
2020.
MCUNet - Tiny Deep Learning on IoT Devices Proceedings Article
In: 2020.
Search What You Want - Barrier Panelty NAS for Mixed Precision Quantization Proceedings Article
In: pp. 1-16, 2020.
NSGANetV2 - Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search Proceedings Article
In: pp. 35-51, 2020.
CATCH - Context-Based Meta Reinforcement Learning for Transferrable Architecture Search Proceedings Article
In: pp. 185-202, 2020.
Standing on the Shoulders of Giants - Hardware and Neural Architecture Co-Search With Hot Start Journal Article
In: vol. 39, no. 11, pp. 4154-4165, 2020.
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search Proceedings Article
In: pp. 175-192, 2020.
Neural Architecture Search for Speech Recognition Technical Report
2020.
BRP-NAS - Prediction-based NAS using GCNs Proceedings Article
In: 2020.
Finding Non-uniform Quantization Schemes Using Multi-task Gaussian Processes Proceedings Article
In: pp. 383-398, 2020.
One-Shot Neural Architecture Search via Novelty Driven Sampling Proceedings Article
In: pp. 3188-3194, 2020.