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← Deep Learning
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Architectures

27,448 papers (33 classified directly here)

Subtopics

Neural Networks (11,723) Transformers (10,397) Graph Neural Networks (4,522) Autoencoders (1,154) Convolutional Neural Networks (973) Recurrent Neural Networks (593) Generative Adversarial Networks (18) Encoder-Decoder (14)

Papers per year

27
213
2915
3174
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Papers (including subtopics)

Deep Learning Face Representation from Predicting 10,000 Classes CVPR 2014
Learning Non-Linear Reconstruction Models for Image Set Classification CVPR 2014
Automatic Feature Learning for Robust Shadow Detection CVPR 2014
Scalable Object Detection using Deep Neural Networks CVPR 2014
Stable and Informative Spectral Signatures for Graph Matching CVPR 2014
Multi-source Deep Learning for Human Pose Estimation CVPR 2014
DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition CVPR 2014
Blind Image Quality Assessment using Semi-supervised Rectifier Networks CVPR 2014
Describing Textures in the Wild CVPR 2014
Strokelets: A Learned Multi-Scale Representation for Scene Text Recognition CVPR 2014
Is Rotation a Nuisance in Shape Recognition? CVPR 2014
Recurrent Convolutional Neural Networks for Scene Labeling ICML 2014
Provable Bounds for Learning Some Deep Representations ICML 2014
Deep Generative Stochastic Networks Trainable by Backprop ICML 2014
Deep AutoRegressive Networks ICML 2014
Marginalized Denoising Auto-encoders for Nonlinear Representations ICML 2014
Structured Recurrent Temporal Restricted Boltzmann Machines ICML 2014
Learning by Stretching Deep Networks ICML 2014
Learning Ordered Representations with Nested Dropout ICML 2014
Towards End-To-End Speech Recognition with Recurrent Neural Networks ICML 2014
Learning Character-level Representations for Part-of-Speech Tagging ICML 2014
A Clockwork RNN ICML 2014
Multimodal Learning with Deep Boltzmann Machines JMLR 2014
Combining the benefits of function approximation and trajectory optimization RSS 2014
Multi-Prediction Deep Boltzmann Machines NIPS 2013