Deep Learning

Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering AAAI 2019 Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking ICLR 2019 Energy-Inspired Models: Learning with Sampler-Induced Distributions NeurIPS 2019 Engaging Image Captioning via Personality CVPR 2019 English-Czech Systems in WMT19: Document-Level Transformer ACL 2019 English-Indonesian Neural Machine Translation for Spoken Language Domains ACL 2019 English-Myanmar Supervised and Unsupervised NMT: NICT’s Machine Translation Systems at WAT-2019 EMNLP 2019 English to Hindi Multi-modal Neural Machine Translation and Hindi Image Captioning EMNLP 2019 Enhanced Bayesian Compression via Deep Reinforcement Learning CVPR 2019 Enhanced Pix2pix Dehazing Network CVPR 2019 Enhanced Transformer Model for Data-to-Text Generation EMNLP 2019 Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval ICCV 2019 Enhancing Air Quality Prediction with Social Media and Natural Language Processing ACL 2019 Enhancing AMR-to-Text Generation with Dual Graph Representations EMNLP 2019 Enhancing BERT for Lexical Normalization EMNLP 2019 Enhancing biomedical word embeddings by retrofitting to verb clusters ACL 2019 Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation EMNLP 2019 Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph EMNLP 2019 Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network CVPR 2019 Enhancing Key-Value Memory Neural Networks for Knowledge Based Question Answering NAACL 2019 Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise ICCV 2019 Enhancing Neural Data-To-Text Generation Models with External Background Knowledge EMNLP 2019 Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension ACL 2019 Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting NeurIPS 2019 Enhancing the Measurement of Social Effects by Capturing Morality NAACL 2019