neural network

Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers EMNLP 2017 Lexical Simplification with Neural Ranking EACL 2017 Lexical Simplification with the Deep Structured Similarity Model IJCNLP 2017 Linguistically Regularized LSTM for Sentiment Classification ACL 2017 Linking Image and Text With 2-Way Nets CVPR 2017 Lip Reading Sentences in the Wild CVPR 2017 MarrNet: 3D Shape Reconstruction via 2.5D Sketches NeurIPS 2017 MEC: Memory-efficient Convolution for Deep Neural Network ICML 2017 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting ICML 2017 Meta Networks ICML 2017 MITRE at SemEval-2017 Task 1: Simple Semantic Similarity SemEval 2017 MORSE: Semantic-ally Drive-n MORpheme SEgment-er ACL 2017 MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models EACL 2017 MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews IJCNLP 2017 Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video EMNLP 2017 Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction ACL 2017 Multi-Task Deep Reinforcement Learning for Continuous Action Control IJCAI 2017 Multitask Sequence-to-Sequence Models for Grapheme-to-Phoneme Conversion Interspeech 2017 Natural Language Inference from Multiple Premises IJCNLP 2017 Natural Value Approximators: Learning when to Trust Past Estimates NeurIPS 2017 Nearly-tight VC-dimension bounds for piecewise linear neural networks COLT 2017 Neural Architectures for Fine-grained Entity Type Classification EACL 2017 Neural Domain Adaptation for Biomedical Question Answering CoNLL 2017 Neural End-to-End Learning for Computational Argumentation Mining ACL 2017 Neural Expectation Maximization NeurIPS 2017