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Bmt-Enas: Branched Multi-Task Evolutionary Neural Architecture Search

https://doi.org/10.2139/ssrn.4896948
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01234-2_49openalex-extracted
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-01246-5_2openalex-extracted
Progressive Neural Architecture Search
inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-extracted
The Pascal Visual Object Classes (VOC) Challenge
inferredcites →https://doi.org/10.1016/j.media.2019.03.004openalex-extracted
Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising
inferredcites →https://doi.org/10.1038/nature14539openalex-extracted
Deep learning
inferredcites →https://doi.org/10.1109/4235.585893openalex-extracted
No free lunch theorems for optimization
inferredcites →https://doi.org/10.1109/cvpr.2014.254openalex-extracted
Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts
inferredcites →https://doi.org/10.1109/cvpr.2016.433openalex-extracted
Cross-Stitch Networks for Multi-task Learning
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.126openalex-extracted
Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
inferredcites →https://doi.org/10.1109/cvpr.2017.579openalex-extracted
UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory
inferredcites →https://doi.org/10.1109/cvpr.2018.00781openalex-extracted
Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
inferredcites →https://doi.org/10.1109/cvpr.2018.00907openalex-extracted
Learning Transferable Architectures for Scalable Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00195openalex-extracted
Attentive Single-Tasking of Multiple Tasks
inferredcites →https://doi.org/10.1109/cvpr.2019.00197openalex-extracted
End-To-End Multi-Task Learning With Attention
inferredcites →https://doi.org/10.1109/cvpr.2019.00332openalex-extracted
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00190openalex-extracted
CARS: Continuous Evolution for Efficient Neural Architecture Search
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01068openalex-extracted
Controllable Dynamic Multi-Task Architectures
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00368openalex-extracted
Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network Topologies
inferredcites →https://doi.org/10.1109/cvprw.2009.5206848openalex-extracted
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/iccv.2019.00147openalex-extracted
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
inferredcites →https://doi.org/10.1109/iccve.2014.7297613openalex-extracted
Autonomous vehicle public transportation system
inferredcites →https://doi.org/10.1109/icsmd53520.2021.9670854openalex-extracted
Federated Learning for Bearing Fault Diagnosis with Dynamic Weighted Averaging
inferredcites →https://doi.org/10.1109/msp.2017.2743240openalex-extracted
Deep Reinforcement Learning: A Brief Survey
inferredcites →https://doi.org/10.1109/tcyb.2020.2983860openalex-extracted
Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification
inferredcites →https://doi.org/10.1109/tevc.2019.2916183openalex-extracted
Evolving Deep Convolutional Neural Networks for Image Classification
inferredcites →https://doi.org/10.1109/tkde.2021.3070203openalex-extracted
A Survey on Multi-Task Learning
inferredcites →https://doi.org/10.1109/tnnls.2021.3100554openalex-extracted
A Survey on Evolutionary Neural Architecture Search
inferredcites →https://doi.org/10.1109/tpami.2008.79openalex-extracted
Robust Face Recognition via Sparse Representation
inferredcites →https://doi.org/10.1109/tpami.2017.2699184openalex-extracted
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
inferredcites →https://doi.org/10.1109/tpami.2021.3054719openalex-extracted
Multi-Task Learning for Dense Prediction Tasks: A Survey
inferredcites →https://doi.org/10.1609/aaai.v33i01.33014780openalex-extracted
Regularized Evolution for Image Classifier Architecture Search
inferredcites →https://doi.org/10.1887/0750308958openalex-extracted
Handbook of Evolutionary Computation
inferredcites →https://doi.org/10.2514/2.2111openalex-extracted
Particle Swarm Optimization
inferredcites →https://doi.org/10.4018/978-1-60566-766-9.ch011openalex-extracted
Transfer Learning
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-extracted
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1411.1792openalex-extracted
How transferable are features in deep neural networks?
inferredcites →https://doi.org/10.48550/arxiv.1611.01578openalex-extracted
Neural Architecture Search with Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1611.02167openalex-extracted
Designing Neural Network Architectures using Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1708.02550openalex-extracted
Fast Scene Understanding for Autonomous Driving
inferredcites →https://doi.org/10.48550/arxiv.1711.01239openalex-extracted
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning
inferredcites →https://doi.org/10.48550/arxiv.1711.02257openalex-extracted
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
inferredcites →https://doi.org/10.48550/arxiv.1808.05377openalex-extracted
Neural Architecture Search: A Survey
inferredcites →https://doi.org/10.48550/arxiv.1810.04650openalex-extracted
Multi-Task Learning as Multi-Objective Optimization
inferredcites →https://doi.org/10.48550/arxiv.1812.00332openalex-extracted
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
inferredcites →https://doi.org/10.48550/arxiv.1908.04339openalex-extracted
Feature Partitioning for Efficient Multi-Task Architectures
inferredcites →https://doi.org/10.48550/arxiv.2006.01895openalex-extracted
Learning to Branch for Multi-Task Learning
inferredcites →https://doi.org/10.5244/c.34.59openalex-extracted
Branched Multi-Task Networks: Deciding what layers to share
inferredcites →https://doi.org/10.5244/c.34.93openalex-extracted
Automated Search for Resource-Efficient Branched Multi-Task Networks
inferredcites →https://doi.org/10.57702/zp44cu3gopenalex-extracted
Learning Multiple Layers of Features from Tiny Images
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