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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)

Reasoning With Neural Tensor Networks for Knowledge Base Completion NIPS 2013
Deep content-based music recommendation NIPS 2013
Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems NIPS 2013
Learning Stochastic Feedforward Neural Networks NIPS 2013
Learning word embeddings efficiently with noise-contrastive estimation NIPS 2013
Learning a Deep Compact Image Representation for Visual Tracking NIPS 2013
Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising NIPS 2013
Firing rate predictions in optimal balanced networks NIPS 2013
Noise-Enhanced Associative Memories NIPS 2013
Deep Neural Networks for Object Detection NIPS 2013
Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine ACML 2013
Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels ACML 2013
Locally-Linear Learning Machines (L3M) ACML 2013
Efficient Learning of Simplices COLT 2013
Learning Multiple Non-linear Sub-spaces Using K-RBMs CVPR 2013
Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling CVPR 2013
Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination CVPR 2013
Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video CVPR 2013
Fully-Connected CRFs with Non-Parametric Pairwise Potential CVPR 2013
Deep Learning Shape Priors for Object Segmentation CVPR 2013
Facial Feature Tracking Under Varying Facial Expressions and Face Poses Based on Restricted Boltzmann Machines CVPR 2013
Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines CVPR 2013
A Machine Learning Approach for Non-blind Image Deconvolution CVPR 2013
Seeking the Strongest Rigid Detector CVPR 2013
SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors CVPR 2013