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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
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Papers (including subtopics)

Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NIPS 2015
A Recurrent Latent Variable Model for Sequential Data NIPS 2015
Unsupervised Learning by Program Synthesis NIPS 2015
Learning to Transduce with Unbounded Memory NIPS 2015
Deep Knowledge Tracing NIPS 2015
Variational Dropout and the Local Reparameterization Trick NIPS 2015
Robust PCA with compressed data NIPS 2015
Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution NIPS 2015
Bidirectional Recurrent Neural Networks as Generative Models NIPS 2015
Bounding errors of Expectation-Propagation NIPS 2015
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants NIPS 2015
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning NIPS 2015
Deep learning with Elastic Averaging SGD NIPS 2015
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation NIPS 2015
Discriminative Robust Transformation Learning NIPS 2015
Deep Poisson Factor Modeling NIPS 2015
Embedding Inference for Structured Multilabel Prediction NIPS 2015
Deeply Learning the Messages in Message Passing Inference NIPS 2015
Shepard Convolutional Neural Networks NIPS 2015
Learning Wake-Sleep Recurrent Attention Models NIPS 2015
Rectified Factor Networks NIPS 2015
Adversarial Prediction Games for Multivariate Losses NIPS 2015
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning NIPS 2015
Deep Visual Analogy-Making NIPS 2015
Copula variational inference NIPS 2015