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Techniques

9,432 papers (36 classified directly here)

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Papers (including subtopics)

Multi-Level Attention Networks for Visual Question Answering CVPR 2017 Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee NeurIPS 2017 Network Dissection: Quantifying Interpretability of Deep Visual Representations CVPR 2017 Neural Lattice-to-Sequence Models for Uncertain Inputs EMNLP 2017 Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search EMNLP 2017 Neural Machine Translation with Word Predictions EMNLP 2017 Neural Relation Extraction with Multi-lingual Attention ACL 2017 Neural Word Segmentation with Rich Pretraining ACL 2017 Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade CVPR 2017 On Calibration of Modern Neural Networks ICML 2017 On the Influence of Modifying Magnitude and Phase Spectrum to Enhance Noisy Speech Signals Interspeech 2017 OptNet: Differentiable Optimization as a Layer in Neural Networks ICML 2017 Pay Attention to the Ending:Strong Neural Baselines for the ROC Story Cloze Task ACL 2017 Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation CVPR 2017 Plan, Attend, Generate: Planning for Sequence-to-Sequence Models NeurIPS 2017 PolyNet: A Pursuit of Structural Diversity in Very Deep Networks CVPR 2017 Predicting Salient Face in Multiple-Face Videos CVPR 2017 Programming with a Differentiable Forth Interpreter ICML 2017 Recognizing Multi-Talker Speech with Permutation Invariant Training Interspeech 2017 Recurrent Attention Network on Memory for Aspect Sentiment Analysis EMNLP 2017 Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization NeurIPS 2017 Removing Rain From Single Images via a Deep Detail Network CVPR 2017 Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks EMNLP 2017 Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition Interspeech 2017 Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice NeurIPS 2017