Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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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
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Papers (including subtopics)
Object Detection Meets Knowledge Graphs
IJCAI 2017
Obtaining referential word meanings from visual and distributional information: Experiments on object naming
ACL 2017
OctNet: Learning Deep 3D Representations at High Resolutions
CVPR 2017
Off-Topic Spoken Response Detection Using Siamese Convolutional Neural Networks
Interspeech 2017
Off-Topic Spoken Response Detection with Word Embeddings
Interspeech 2017
OhioState at IJCNLP-2017 Task 4: Exploring Neural Architectures for Multilingual Customer Feedback Analysis
IJCNLP 2017
On Approximation Guarantees for Greedy Low Rank Optimization
ICML 2017
On Blackbox Backpropagation and Jacobian Sensing
NeurIPS 2017
On Calibration of Modern Neural Networks
ICML 2017
On Compressing Deep Models by Low Rank and Sparse Decomposition
CVPR 2017
On Design of Robust Deep Models for CHiME-4 Multi-Channel Speech Recognition with Multiple Configurations of Array Microphones
Interspeech 2017
One-Shot Imitation Learning
NeurIPS 2017
One-Shot Metric Learning for Person Re-Identification
CVPR 2017
One-Shot Video Object Segmentation
CVPR 2017
One-Sided Unsupervised Domain Mapping
NeurIPS 2017
One-To-Many Network for Visually Pleasing Compression Artifacts Reduction
CVPR 2017
On Human Motion Prediction Using Recurrent Neural Networks
CVPR 2017
Online End-of-Turn Detection from Speech Based on Stacked Time-Asynchronous Sequential Networks
Interspeech 2017
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals
CoRL 2017
Online Video Object Segmentation via Convolutional Trident Network
CVPR 2017
On Multi-Domain Training and Adaptation of End-to-End RNN Acoustic Models for Distant Speech Recognition
Interspeech 2017
On orthogonality and learning recurrent networks with long term dependencies
ICML 2017
On the Ability of Neural Nets to Express Distributions
COLT 2017
On the Complexity of Learning Neural Networks
NeurIPS 2017
On the Expressive Power of Deep Neural Networks
ICML 2017