Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
5
1
2
47
50
53
51
87
90
125
229
234
453
859
1,652
3,233
5,368
6,434
7,726
8,506
9,951
12,524
14,487
6,029
'5
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Papers (including subtopics)
Black Box Variational Inference
AISTATS 2014
Blind Image Quality Assessment using Semi-supervised Rectifier Networks
CVPR 2014
Bregman Alternating Direction Method of Multipliers
NeurIPS 2014
Classification of Histology Sections via Multispectral Convolutional Sparse Coding
CVPR 2014
Collective Matrix Factorization Hashing for Multimodal Data
CVPR 2014
Combining the benefits of function approximation and trajectory optimization
RSS 2014
Communication Efficient Distributed Machine Learning with the Parameter Server
NeurIPS 2014
Conditional Random Field Autoencoders for Unsupervised Structured Prediction
NeurIPS 2014
Consistent Binary Classification with Generalized Performance Metrics
NeurIPS 2014
Constructing Robust Affinity Graphs for Spectral Clustering
CVPR 2014
Context Driven Scene Parsing with Attention to Rare Classes
CVPR 2014
Convex Deep Learning via Normalized Kernels
NeurIPS 2014
Convolutional Kernel Networks
NeurIPS 2014
Convolutional Neural Network Architectures for Matching Natural Language Sentences
NeurIPS 2014
Convolutional Neural Networks for No-Reference Image Quality Assessment
CVPR 2014
Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation
CVPR 2014
Deblurring Low-light Images with Light Streaks
CVPR 2014
Decorrelating Semantic Visual Attributes by Resisting the Urge to Share
CVPR 2014
Decoupled Variational Gaussian Inference
NeurIPS 2014
Deep AutoRegressive Networks
ICML 2014
Deep Convolutional Neural Network for Image Deconvolution
NeurIPS 2014
DeepFace: Closing the Gap to Human-Level Performance in Face Verification
CVPR 2014
Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters
CVPR 2014
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
NeurIPS 2014
Deep Generative Stochastic Networks Trainable by Backprop
ICML 2014