Description
Neural Architecture Search (NAS) learns a modular architecture which can be transferred from a small dataset to a large dataset. The method does this by reducing the problem of learning best convolutional architectures to the problem of learning a small convolutional cell. The cell can then be stacked in series to handle larger images and more complex datasets.
Note that this refers to the original method referred to as NAS - there is also a broader category of methods called "neural architecture search".
Papers Using This Method
Enhancing GANs with MMD Neural Architecture Search, PMish Activation Function, and Adaptive Rank Decomposition2024-10-23Enhancing GAN Performance through Neural Architecture Search and Tensor Decomposition2024-03-18Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices2023-09-12AutoLC: Search Lightweight and Top-Performing Architecture for Remote Sensing Image Land-Cover Classification2022-05-11UnrealNAS: Can We Search Neural Architectures with Unreal Data?2022-05-04TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework2021-11-06Network Space Search for Pareto-Efficient Spaces2021-04-22End-to-end Keyword Spotting using Neural Architecture Search and Quantization2021-04-14Boarding House Renting Price Prediction Using Deep Neural Network Regression on Mobile Apps2020-12-31Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation2020-12-13AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling2020-11-18Automated Concatenation of Embeddings for Structured Prediction2020-10-10NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search2020-07-20Fine-Tuning DARTS for Image Classification2020-06-16Bonsai-Net: One-Shot Neural Architecture Search via Differentiable Pruners2020-06-12Rethinking Pre-training and Self-training2020-06-11SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization2019-12-10MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices2019-12-02Evolution of Graph Classifiers2019-10-04ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors2019-04-05