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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)

Discriminative Unsupervised Feature Learning with Convolutional Neural Networks NIPS 2014
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping NIPS 2014
Sample Distillation for Object Detection and Image Classification ACML 2014
Structured Denoising Autoencoder for Fault Detection and Analysis ACML 2014
Nonlinear Dimensionality Reduction of Data by Deep Distributed Random Samplings ACML 2014
Variational Gaussian Inference for Bilinear Models of Count Data ACML 2014
Avoiding pathologies in very deep networks AISTATS 2014
To go deep or wide in learning? AISTATS 2014
Black Box Variational Inference AISTATS 2014
Learning Sparsely Used Overcomplete Dictionaries COLT 2014
Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014
Learning Mixtures of Discrete Product Distributions using Spectral Decompositions COLT 2014
Predicting Matchability CVPR 2014
Weakly Supervised Multiclass Video Segmentation CVPR 2014
Neural Decision Forests for Semantic Image Labelling CVPR 2014
Pulling Things out of Perspective CVPR 2014
Learning Mid-level Filters for Person Re-identification CVPR 2014
DeepReID: Deep Filter Pairing Neural Network for Person Re-Identification CVPR 2014
How to Evaluate Foreground Maps? CVPR 2014
Non-rigid Segmentation using Sparse Low Dimensional Manifolds and Deep Belief Networks CVPR 2014
Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras CVPR 2014
Anytime Recognition of Objects and Scenes CVPR 2014
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation CVPR 2014
Human Body Shape Estimation Using a Multi-Resolution Manifold Forest CVPR 2014
When 3D Reconstruction Meets Ubiquitous RGB-D Images CVPR 2014