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Model Architecture

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Papers

Learning Deep Architectures via Generalized Whitened Neural Networks ICML 2017 Learning Efficient Object Detection Models with Knowledge Distillation NeurIPS 2017 Learning to Detect Salient Objects With Image-Level Supervision CVPR 2017 Learning to Predict Charges for Criminal Cases with Legal Basis EMNLP 2017 Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon NeurIPS 2017 Lexical Simplification with Neural Ranking EACL 2017 Local Binary Convolutional Neural Networks CVPR 2017 Locally Smoothed Neural Networks ACML 2017 Local Monotonic Attention Mechanism for End-to-End Speech And Language Processing IJCNLP 2017 MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network CVPR 2017 MEC: Memory-efficient Convolution for Deep Neural Network ICML 2017 Modeling Relationships in Referential Expressions With Compositional Modular Networks CVPR 2017 More Is Less: A More Complicated Network With Less Inference Complexity CVPR 2017 Morphological Inflection Generation with Hard Monotonic Attention ACL 2017 Multi-Context Attention for Human Pose Estimation CVPR 2017 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 Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade CVPR 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 Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation CVPR 2017 PolyNet: A Pursuit of Structural Diversity in Very Deep Networks CVPR 2017 Programming with a Differentiable Forth Interpreter ICML 2017