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
'10
'15
'20
'25
Papers (including subtopics)
A Novel Research to Artificial Bandwidth Extension Based on Deep BLSTM Recurrent Neural Networks and Exemplar-Based Sparse Representation
Interspeech 2016
Anticipating Visual Representations From Unlabeled Video
CVPR 2016
An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model
COLING 2016
A Powerful Generative Model Using Random Weights for the Deep Image Representation
NeurIPS 2016
A Probabilistic Framework for Deep Learning
NeurIPS 2016
A Random Matrix Approach to Echo-State Neural Networks
ICML 2016
Architectural Complexity Measures of Recurrent Neural Networks
NeurIPS 2016
Articulatory Feature Extraction Using CTC to Build Articulatory Classifiers Without Forced Frame Alignments for Speech Recognition
Interspeech 2016
Articulatory-to-Acoustic Conversion with Cascaded Prediction of Spectral and Excitation Features Using Neural Networks
Interspeech 2016
Artificial Neural Network-Based Feature Combination for Spatial Voice Activity Detection
Interspeech 2016
A Simple Practical Accelerated Method for Finite Sums
NeurIPS 2016
ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks Using Angle Sensitive Pixels
CVPR 2016
Assessing Speech Quality in Speech-Aware Hearing Aids Based on Phoneme Posteriorgrams
Interspeech 2016
Associative Long Short-Term Memory
ICML 2016
A Step Beyond Local Observations with a Dialog Aware Bidirectional GRU Network for Spoken Language Understanding
Interspeech 2016
Asynchronous Parallel Learning for Neural Networks and Structured Models with Dense Features
COLING 2016
A Task-Oriented Approach for Cost-Sensitive Recognition
CVPR 2016
A Text Detection System for Natural Scenes With Convolutional Feature Learning and Cascaded Classification
CVPR 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
NeurIPS 2016
A Theory of Generative ConvNet
ICML 2016
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
NeurIPS 2016
Attending to Characters in Neural Sequence Labeling Models
COLING 2016
Attention Assisted Discovery of Sub-Utterance Structure in Speech Emotion Recognition
Interspeech 2016
Attention-Based Convolutional Neural Network for Semantic Relation Extraction
COLING 2016
Attention-Based Convolutional Neural Networks for Sentence Classification
Interspeech 2016