On the public citation graph

Posterior-Guided Neural Architecture Search

https://doi.org/10.1609/aaai.v34i04.6181
0 signed · 36 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01246-5_2openalex-snapshot
Progressive Neural Architecture Search
inferredcites →https://doi.org/10.1007/978-3-030-58517-4_32openalex-snapshot
Single Path One-Shot Neural Architecture Search with Uniform Sampling
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot
Densely Connected Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.668openalex-snapshot
Deep Pyramidal Residual Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00257openalex-snapshot
Practical Block-Wise Neural Network Architecture Generation
inferredcites →https://doi.org/10.1109/cvpr.2018.00907openalex-snapshot
Learning Transferable Architectures for Scalable Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00293openalex-snapshot
MnasNet: Platform-Aware Neural Architecture Search for Mobile
inferredcites →https://doi.org/10.1109/cvpr.2019.01099openalex-snapshot
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
inferredcites →https://doi.org/10.1162/15324430152748236openalex-snapshot
10.1162/15324430152748236
inferredcites →https://doi.org/10.1609/aaai.v32i1.11709openalex-snapshot
Efficient Architecture Search by Network Transformation
inferredcites →https://doi.org/10.1609/aaai.v33i01.33014780openalex-snapshot
Regularized Evolution for Image Classifier Architecture Search
inferredcites →https://doi.org/10.48550/arxiv.1312.6114openalex-snapshot
Auto-Encoding Variational Bayes
inferredcites →https://doi.org/10.48550/arxiv.1406.3896openalex-snapshot
Freeze-Thaw Bayesian Optimization
inferredcites →https://doi.org/10.48550/arxiv.1506.02142openalex-snapshot
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
inferredcites →https://doi.org/10.48550/arxiv.1606.02492openalex-snapshot
Convolutional Neural Fabrics
inferredcites →https://doi.org/10.48550/arxiv.1611.01144openalex-snapshot
Categorical Reparameterization with Gumbel-Softmax
inferredcites →https://doi.org/10.48550/arxiv.1611.01578openalex-snapshot
Neural Architecture Search with Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1705.07485openalex-snapshot
Shake-Shake regularization
inferredcites →https://doi.org/10.48550/arxiv.1708.04552openalex-snapshot
Improved Regularization of Convolutional Neural Networks with Cutout
inferredcites →https://doi.org/10.48550/arxiv.1708.05344openalex-snapshot
SMASH: One-Shot Model Architecture Search through HyperNetworks
inferredcites →https://doi.org/10.48550/arxiv.1709.09582openalex-snapshot
Connectivity Learning in Multi-Branch Networks
inferredcites →https://doi.org/10.48550/arxiv.1802.03268openalex-snapshot
Efficient Neural Architecture Search via Parameter Sharing
inferredcites →https://doi.org/10.48550/arxiv.1806.02639openalex-snapshot
Path-Level Network Transformation for Efficient Architecture Search
inferredcites →https://doi.org/10.48550/arxiv.1807.06906openalex-snapshot
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search
inferredcites →https://doi.org/10.48550/arxiv.1808.05377openalex-snapshot
Neural Architecture Search: A Survey
inferredcites →https://doi.org/10.48550/arxiv.1808.07233openalex-snapshot
Neural Architecture Optimization
inferredcites →https://doi.org/10.48550/arxiv.1812.09926openalex-snapshot
SNAS: Stochastic Neural Architecture Search

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4588788openalex-extracted
inferred← citeshttps://doi.org/10.1007/s10586-024-04836-2openalex-snapshot
Filter pruning via annealing decaying for deep convolutional neural networks acceleration
inferred← citeshttps://doi.org/10.1109/access.2021.3055555openalex-snapshot
Differentiable Neural Architecture Search for High-Dimensional Time Series Forecasting
inferred← citeshttps://doi.org/10.1109/cscwd57460.2023.10152697openalex-snapshot
RW-MMDCG:Muti-modal via Rolling-Window Directed Graph Network for Conversational Emotion Recognition
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00659openalex-snapshot
Rethinking Graph Neural Architecture Search from Message-passing
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3161284openalex-snapshot
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search
inferred← citeshttps://doi.org/10.1145/3473330openalex-snapshot
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
inferred← citeshttps://doi.org/10.1155/2022/6731781openalex-snapshot
Exploring Artificial Intelligence Architecture in Data Cleaning Based on Bayesian Networks
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.