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Model Architecture

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Papers

Wide Compression: Tensor Ring Nets CVPR 2018 YNU_Deep at SemEval-2018 Task 11: An Ensemble of Attention-based BiLSTM Models for Machine Comprehension SemEval 2018 YNU-HPCC at SemEval-2018 Task 2: Multi-ensemble Bi-GRU Model with Attention Mechanism for Multilingual Emoji Prediction SemEval 2018 Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples NeurIPS 2017 Active Convolution: Learning the Shape of Convolution for Image Classification CVPR 2017 Adaptive Neural Networks for Efficient Inference ICML 2017 A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark Detection CVPR 2017 Age Progression/Regression by Conditional Adversarial Autoencoder CVPR 2017 Aggregated Residual Transformations for Deep Neural Networks CVPR 2017 A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment CVPR 2017 All You Need Is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks With Orthonormality and Modulation CVPR 2017 An Attention-based Regression Model for Grounding Textual Phrases in Images IJCAI 2017 A Neural Model for Joint Event Detection and Summarization IJCAI 2017 Attention Based CLDNNs for Short-Duration Acoustic Scene Classification Interspeech 2017 Attention is All you Need NeurIPS 2017 Attention Modeling for Targeted Sentiment EACL 2017 Attention Networks for Modeling Behaviors in Addiction Counseling Interspeech 2017 Attentive Language Models IJCNLP 2017 Axiomatic Attribution for Deep Networks ICML 2017 Beyond Filters: Compact Feature Map for Portable Deep Model ICML 2017 BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks CVPR 2017 CKY-based Convolutional Attention for Neural Machine Translation IJCNLP 2017 CLKN: Cascaded Lucas-Kanade Networks for Image Alignment CVPR 2017 Cognitive Mapping and Planning for Visual Navigation CVPR 2017 Combined Group and Exclusive Sparsity for Deep Neural Networks ICML 2017