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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)

6 Seconds of Sound and Vision: Creativity in Micro-Videos CVPR 2014
Recurrent Convolutional Neural Networks for Scene Labeling ICML 2014
Deterministic Policy Gradient Algorithms ICML 2014
Provable Bounds for Learning Some Deep Representations ICML 2014
Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction ICML 2014
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014
Deep Generative Stochastic Networks Trainable by Backprop ICML 2014
Signal recovery from Pooling Representations ICML 2014
Latent Semantic Representation Learning for Scene Classification ICML 2014
Preserving Modes and Messages via Diverse Particle Selection ICML 2014
Deep AutoRegressive Networks ICML 2014
Stochastic Backpropagation and Approximate Inference in Deep Generative Models ICML 2014
Randomized Nonlinear Component Analysis ICML 2014
Marginalized Denoising Auto-encoders for Nonlinear Representations ICML 2014
Structured Recurrent Temporal Restricted Boltzmann Machines ICML 2014
A Deep Semi-NMF Model for Learning Hidden Representations 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
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets ICML 2014
Neural Variational Inference and Learning in Belief Networks ICML 2014
Learning Character-level Representations for Part-of-Speech Tagging ICML 2014
A Clockwork RNN ICML 2014
Doubly Stochastic Variational Bayes for non-Conjugate Inference ICML 2014
Adaptive Sampling for Large Scale Boosting JMLR 2014