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)
The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS
Interspeech 2016
The Generalized Reparameterization Gradient
NeurIPS 2016
The LRP Toolbox for Artificial Neural Networks
JMLR 2016
The Power of Depth for Feedforward Neural Networks
COLT 2016
The Role of Context in Neural Morphological Disambiguation
COLING 2016
The SIWIS Database: A Multilingual Speech Database with Acted Emphasis
Interspeech 2016
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM
NeurIPS 2016
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes
CVPR 2016
Thin-Slicing for Pose: Learning to Understand Pose Without Explicit Pose Estimation
CVPR 2016
Tight Complexity Bounds for Optimizing Composite Objectives
NeurIPS 2016
Tight Variational Bounds via Random Projections and I-Projections
AISTATS 2016
TI-Pooling: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks
CVPR 2016
Tone Classification in Mandarin Chinese Using Convolutional Neural Networks
Interspeech 2016
Top-Push Video-Based Person Re-Identification
CVPR 2016
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
NeurIPS 2016
Towards Conceptual Compression
NeurIPS 2016
Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks
Interspeech 2016
Towards Machine Comprehension of Spoken Content: Initial TOEFL Listening Comprehension Test by Machine
Interspeech 2016
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition
JMLR 2016
Towards Online-Recognition with Deep Bidirectional LSTM Acoustic Models
Interspeech 2016
Track and Segment: An Iterative Unsupervised Approach for Video Object Proposals
CVPR 2016
Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection
CVPR 2016
Traffic-Sign Detection and Classification in the Wild
CVPR 2016
Train faster, generalize better: Stability of stochastic gradient descent
ICML 2016
Training Deep Neural Networks via Direct Loss Minimization
ICML 2016