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https://doi.org/10.2139/ssrn.4662629

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-01252-6_17openalex-extracted
Learning Deep Representations with Probabilistic Knowledge Transfer
inferredcites →https://doi.org/10.1016/j.asoc.2021.107484openalex-extracted
Collaborative filtering via factorized neural networks
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00363openalex-extracted
Fast Human Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01103openalex-extracted
Online Knowledge Distillation via Collaborative Learning
inferredcites →https://doi.org/10.1109/icassp.2019.8683438openalex-extracted
Conditional Teacher-student Learning
inferredcites →https://doi.org/10.1109/icdm.2010.127openalex-extracted
Factorization Machines
inferredcites →https://doi.org/10.1109/icme.2016.7553002openalex-extracted
Large-scale vehicle re-identification in urban surveillance videos
inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-extracted
Representation Learning: A Review and New Perspectives
inferredcites →https://doi.org/10.1145/2988450.2988454openalex-extracted
Wide & Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3233770openalex-extracted
Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data
inferredcites →https://doi.org/10.1145/3340531.3412704openalex-extracted
Ensembled CTR Prediction via Knowledge Distillation
inferredcites →https://doi.org/10.1145/3357384.3357925openalex-extracted
AutoInt
inferredcites →https://doi.org/10.1145/3442381.3450078openalex-extracted
DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems
inferredcites →https://doi.org/10.1145/3583780.3615089openalex-extracted
Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction
inferredcites →https://doi.org/10.1609/aaai.v34i04.5768openalex-extracted
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
inferredcites →https://doi.org/10.1609/aaai.v35i8.16865openalex-extracted
Cross-Layer Distillation with Semantic Calibration
inferredcites →https://doi.org/10.24963/ijcai.2017/239openalex-extracted
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-extracted
BPR: Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.48550/arxiv.1412.6550openalex-extracted
FitNets: Hints for Thin Deep Nets
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-extracted
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-extracted
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
inferredcites →https://doi.org/10.48550/arxiv.1503.02531openalex-extracted
Distilling the Knowledge in a Neural Network
inferredcites →https://doi.org/10.48550/arxiv.1612.03928openalex-extracted
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
inferredcites →https://doi.org/10.48550/arxiv.1806.04606openalex-extracted
Knowledge Distillation by On-the-Fly Native Ensemble
inferredcites →https://doi.org/10.48550/arxiv.1807.00311openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2003.11235openalex-extracted
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
inferredcites →https://doi.org/10.48550/arxiv.2102.07619openalex-extracted
MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask
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