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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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'25

Papers (including subtopics)

Discovering Discrete Latent Topics with Neural Variational Inference ICML 2017
Prediction and Control with Temporal Segment Models ICML 2017
Variational Dropout Sparsifies Deep Neural Networks ICML 2017
Sequence to Better Sequence: Continuous Revision of Combinatorial Structures ICML 2017
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds ICML 2017
The Loss Surface of Deep and Wide Neural Networks ICML 2017
Multichannel End-to-end Speech Recognition ICML 2017
Conditional Image Synthesis with Auxiliary Classifier GANs ICML 2017
The Statistical Recurrent Unit ICML 2017
Count-Based Exploration with Neural Density Models ICML 2017
On the Expressive Power of Deep Neural Networks ICML 2017
Equivariance Through Parameter-Sharing ICML 2017
Large-Scale Evolution of Image Classifiers ICML 2017
Parallel Multiscale Autoregressive Density Estimation ICML 2017
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study ICML 2017
Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks ICML 2017
Failures of Gradient-Based Deep Learning ICML 2017
Bottleneck Conditional Density Estimation ICML 2017
Attentive Recurrent Comparators ICML 2017
The Predictron: End-To-End Learning and Planning ICML 2017
meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting ICML 2017
Axiomatic Attribution for Deep Networks ICML 2017
Neural Networks and Rational Functions ICML 2017
Accelerating Eulerian Fluid Simulation With Convolutional Networks ICML 2017
Learning to Generate Long-term Future via Hierarchical Prediction ICML 2017