neural network

Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel NeurIPS 2019 Regularizing Neural Networks via Stochastic Branch Layers ACML 2019 Reinforcement-based denoising of distantly supervised NER with partial annotation EMNLP 2019 Relational Knowledge Distillation CVPR 2019 Relation Extraction among Multiple Entities Using a Dual Pointer Network with a Multi-Head Attention Mechanism EMNLP 2019 Reliable training and estimation of variance networks NeurIPS 2019 Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study EMNLP 2019 Reranking for Neural Semantic Parsing ACL 2019 Rescoring Keyword Search Confidence Estimates with Graph-Based Re-Ranking Using Acoustic Word Embeddings Interspeech 2019 Restoring ancient text using deep learning: a case study on Greek epigraphy EMNLP 2019 Rethinking Complex Neural Network Architectures for Document Classification NAACL 2019 Revealing and Predicting Online Persuasion Strategy with Elementary Units EMNLP 2019 Revealing Semantic Structures of Texts: Multi-grained Framework for Automatic Mind-map Generation IJCAI 2019 Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models? Interspeech 2019 Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data ICCV 2019 Robust Attribution Regularization NeurIPS 2019 Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space IJCAI 2019 Rouletabille at SemEval-2019 Task 4: Neural Network Baseline for Identification of Hyperpartisan Publishers SemEval 2019 Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning ACL 2019 S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes CoRL 2019 S4Net: Single Stage Salient-Instance Segmentation CVPR 2019 Saliency Learning: Teaching the Model Where to Pay Attention NAACL 2019 Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation ICCV 2019 Scalable Syntax-Aware Language Models Using Knowledge Distillation ACL 2019 Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation CVPR 2019