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Deep Learning

66,648 papers (25 classified directly here)

Subtopics

Learning Types (28,663) Architectures (27,448) Models (16,617) Techniques (8,241) Optimization & Theory (6,829) Application Areas (46)

Papers per year

2
65
428
6150
10854
'05
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'25

Papers (including subtopics)

On the Computational Efficiency of Training Neural Networks NIPS 2014
Weakly-supervised Discovery of Visual Pattern Configurations NIPS 2014
Altitude Training: Strong Bounds for Single-Layer Dropout NIPS 2014
Global Belief Recursive Neural Networks NIPS 2014
Convolutional Neural Network Architectures for Matching Natural Language Sentences NIPS 2014
Fast Training of Pose Detectors in the Fourier Domain NIPS 2014
Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NIPS 2014
Iterative Neural Autoregressive Distribution Estimator NADE-k NIPS 2014
Do Deep Nets Really Need to be Deep? NIPS 2014
A framework for studying synaptic plasticity with neural spike train data NIPS 2014
Self-Adaptable Templates for Feature Coding NIPS 2014
Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm NIPS 2014
Scalable Kernel Methods via Doubly Stochastic Gradients NIPS 2014
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NIPS 2014
Two-Stream Convolutional Networks for Action Recognition in Videos NIPS 2014
Deep Recursive Neural Networks for Compositionality in Language NIPS 2014
A statistical model for tensor PCA NIPS 2014
Spectral Clustering of graphs with the Bethe Hessian NIPS 2014
Attentional Neural Network: Feature Selection Using Cognitive Feedback NIPS 2014
Reducing the Rank in Relational Factorization Models by Including Observable Patterns NIPS 2014
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations NIPS 2014
Generative Adversarial Nets NIPS 2014
Factoring Variations in Natural Images with Deep Gaussian Mixture Models NIPS 2014
Discriminative Metric Learning by Neighborhood Gerrymandering NIPS 2014
On the Number of Linear Regions of Deep Neural Networks NIPS 2014