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
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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)
“Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection
ACL 2017
Libratus: The Superhuman AI for No-Limit Poker
IJCAI 2017
Light Field Reconstruction Using Deep Convolutional Network on EPI
CVPR 2017
Limits of End-to-End Learning
ACML 2017
Linguistically Regularized LSTM for Sentiment Classification
ACL 2017
Linking Image and Text With 2-Way Nets
CVPR 2017
Link the Head to the "Beak": Zero Shot Learning From Noisy Text Description at Part Precision
CVPR 2017
Lip Reading Sentences in the Wild
CVPR 2017
Local Binary Convolutional Neural Networks
CVPR 2017
Locality-Sensitive Deconvolution Networks With Gated Fusion for RGB-D Indoor Semantic Segmentation
CVPR 2017
Locally Smoothed Neural Networks
ACML 2017
Local Monotonic Attention Mechanism for End-to-End Speech And Language Processing
IJCNLP 2017
Logic Tensor Networks for Semantic Image Interpretation
IJCAI 2017
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition
CVPR 2017
Look Into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing
CVPR 2017
Loss Max-Pooling for Semantic Image Segmentation
CVPR 2017
Lower bounds on the robustness to adversarial perturbations
NeurIPS 2017
Low-Rank Bilinear Pooling for Fine-Grained Classification
CVPR 2017
LSTM Neural Network-Based Speaker Segmentation Using Acoustic and Language Modelling
Interspeech 2017
LSTM Self-Supervision for Detailed Behavior Analysis
CVPR 2017
Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal
EMNLP 2017
MainiwayAI at IJCNLP-2017 Task 2: Ensembles of Deep Architectures for Valence-Arousal Prediction
IJCNLP 2017
Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach
CVPR 2017
Making Neural QA as Simple as Possible but not Simpler
CoNLL 2017
Making the v in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
CVPR 2017