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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)

MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild NIPS 2016
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NIPS 2016
Generating Images with Perceptual Similarity Metrics based on Deep Networks NIPS 2016
Residual Networks Behave Like Ensembles of Relatively Shallow Networks NIPS 2016
Low-Rank Regression with Tensor Responses NIPS 2016
Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent NIPS 2016
Diffusion-Convolutional Neural Networks NIPS 2016
Disease Trajectory Maps NIPS 2016
Spatiotemporal Residual Networks for Video Action Recognition NIPS 2016
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes NIPS 2016
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks NIPS 2016
Learning Structured Sparsity in Deep Neural Networks NIPS 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling NIPS 2016
Domain Separation Networks NIPS 2016
An Architecture for Deep, Hierarchical Generative Models NIPS 2016
Towards Conceptual Compression NIPS 2016
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters NIPS 2016
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation NIPS 2016
Coupled Generative Adversarial Networks NIPS 2016
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models NIPS 2016
Orthogonal Random Features NIPS 2016
Local Similarity-Aware Deep Feature Embedding NIPS 2016
Learning Multiagent Communication with Backpropagation NIPS 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks NIPS 2016
A Powerful Generative Model Using Random Weights for the Deep Image Representation NIPS 2016