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)
Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description
CVPR 2017
Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching
EACL 2017
Teaching Compositionality to CNNs
CVPR 2017
Teaching Machines to Describe Images with Natural Language Feedback
NeurIPS 2017
Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks
NeurIPS 2017
Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants
EMNLP 2017
Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture
EMNLP 2017
Temporal Residual Networks for Dynamic Scene Recognition
CVPR 2017
Tensor Biclustering
NeurIPS 2017
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis
AISTATS 2017
Tensor Fusion Network for Multimodal Sentiment Analysis
EMNLP 2017
Tensor-Train Recurrent Neural Networks for Video Classification
ICML 2017
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
NeurIPS 2017
Text Sentiment Analysis based on Fusion of Structural Information and Serialization Information
IJCNLP 2017
The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives
CVPR 2017
The Expressive Power of Neural Networks: A View from the Width
NeurIPS 2017
The HIT-SCIR System for End-to-End Parsing of Universal Dependencies
CoNLL 2017
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
CoRL 2017
The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring
Interspeech 2017
The Labeled Segmentation of Printed Books
EMNLP 2017
The Loss Surface of Deep and Wide Neural Networks
ICML 2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning
NeurIPS 2017
The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing
SemEval 2017
The More You Know: Using Knowledge Graphs for Image Classification
CVPR 2017
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process
NeurIPS 2017