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Model Architecture

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Papers

An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation EMNLP 2018 A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation CVPR 2018 An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks ICML 2018 A PID Controller Approach for Stochastic Optimization of Deep Networks CVPR 2018 A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis COLING 2018 Are Automatic Methods for Cognate Detection Good Enough for Phylogenetic Reconstruction in Historical Linguistics? NAACL 2018 Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures NeurIPS 2018 A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations ICML 2018 Attacking Binarized Neural Networks ICLR 2018 Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning IJCAI 2018 Attention-based Deep Multiple Instance Learning ICML 2018 Attention-based End-to-End Models for Small-Footprint Keyword Spotting Interspeech 2018 Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification CVPR 2018 Attention-Fused Deep Matching Network for Natural Language Inference IJCAI 2018 Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks MLHC 2018 Backpropagation with Callbacks: Foundations for Efficient and Expressive Differentiable Programming NeurIPS 2018 Baseline: A Library for Rapid Modeling, Experimentation and Development of Deep Learning Algorithms targeting NLP ACL 2018 Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations ICML 2018 Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering ICLR 2018 Bilinear Attention Networks NeurIPS 2018 BLCU_NLP at SemEval-2018 Task 12: An Ensemble Model for Argument Reasoning Based on Hierarchical Attention SemEval 2018 Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions ICLR 2018 Breaking the Activation Function Bottleneck through Adaptive Parameterization NeurIPS 2018 Can Neural Networks Understand Logical Entailment? ICLR 2018 Can We Gain More from Orthogonality Regularizations in Training Deep Networks? NeurIPS 2018