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Deep Learning

78,198 papers (26 classified directly here)

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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