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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)

Universal Correspondence Network NIPS 2016
Learning Transferrable Representations for Unsupervised Domain Adaptation NIPS 2016
Doubly Convolutional Neural Networks NIPS 2016
Stochastic Variational Deep Kernel Learning NIPS 2016
LightRNN: Memory and Computation-Efficient Recurrent Neural Networks NIPS 2016
Deep Learning Games NIPS 2016
Strategic Attentive Writer for Learning Macro-Actions NIPS 2016
Swapout: Learning an ensemble of deep architectures NIPS 2016
Optimizing affinity-based binary hashing using auxiliary coordinates NIPS 2016
A Probabilistic Framework for Deep Learning NIPS 2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning NIPS 2016
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks NIPS 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization NIPS 2016
Binarized Neural Networks NIPS 2016
Operator Variational Inference NIPS 2016
Full-Capacity Unitary Recurrent Neural Networks NIPS 2016
Improved Variational Inference with Inverse Autoregressive Flow NIPS 2016
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision NIPS 2016
Dense Associative Memory for Pattern Recognition NIPS 2016
Variational Autoencoder for Deep Learning of Images, Labels and Captions NIPS 2016
Disentangling factors of variation in deep representation using adversarial training NIPS 2016
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions NIPS 2016
Deep Learning without Poor Local Minima NIPS 2016
On Multiplicative Integration with Recurrent Neural Networks NIPS 2016
The Generalized Reparameterization Gradient NIPS 2016