Deep Learning

NLPR@SRPOL at SemEval-2019 Task 6 and Task 5: Linguistically enhanced deep learning offensive sentence classifier SemEval 2019 NLP@UIOWA at SemEval-2019 Task 6: Classifying the Crass using Multi-windowed CNNs SemEval 2019 NLP@UNED at SMM4H 2019: Neural Networks Applied to Automatic Classifications of Adverse Effects Mentions in Tweets ACL 2019 nlpUP at SemEval-2019 Task 6: A Deep Neural Language Model for Offensive Language Detection SemEval 2019 NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences CVPR 2019 No Army, No Navy: BERT Semi-Supervised Learning of Arabic Dialects ACL 2019 Node Embeddings for Graph Merging: Case of Knowledge Graph Construction EMNLP 2019 Noise2Void - Learning Denoising From Single Noisy Images CVPR 2019 Noise-Aware Unsupervised Deep Lidar-Stereo Fusion CVPR 2019 Noise Contrastive Priors for Functional Uncertainty UAI 2019 Noise Flow: Noise Modeling With Conditional Normalizing Flows ICCV 2019 Noise-Tolerant Paradigm for Training Face Recognition CNNs CVPR 2019 Noisy Channel for Low Resource Grammatical Error Correction ACL 2019 Noisy Neural Language Modeling for Typing Prediction in BCI Communication NAACL 2019 Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors CVPR 2019 Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input AAAI 2019 Nonconvex Matrix Factorization from Rank-One Measurements AISTATS 2019 Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression JMLR 2019 Non-Local ConvLSTM for Video Compression Artifact Reduction ICCV 2019 Non-Local Recurrent Neural Memory for Supervised Sequence Modeling ICCV 2019 Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics NeurIPS 2019 Nonparallel Emotional Speech Conversion Interspeech 2019 Non-Parametric Priors For Generative Adversarial Networks ICML 2019 Non-Parametric Transformation Networks for Learning General Invariances from Data AAAI 2019 Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach ICLR 2019