Techniques

Neural Proximal Gradient Descent for Compressive Imaging NeurIPS 2018 Neural Related Work Summarization with a Joint Context-driven Attention Mechanism EMNLP 2018 Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning EMNLP 2018 Neural Style Transfer via Meta Networks CVPR 2018 NISP: Pruning Networks Using Neuron Importance Score Propagation CVPR 2018 NL-FIIT at IEST-2018: Emotion Recognition utilizing Neural Networks and Multi-level Preprocessing EMNLP 2018 NLP at IEST 2018: BiLSTM-Attention and LSTM-Attention via Soft Voting in Emotion Classification EMNLP 2018 Noisin: Unbiased Regularization for Recurrent Neural Networks ICML 2018 Norm matters: efficient and accurate normalization schemes in deep networks NeurIPS 2018 NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification EMNLP 2018 NTUA-SLP at SemEval-2018 Task 2: Predicting Emojis using RNNs with Context-aware Attention SemEval 2018 Occluded Pedestrian Detection Through Guided Attention in CNNs CVPR 2018 On Adversarial Examples for Character-Level Neural Machine Translation COLING 2018 On The Alignment Problem In Multi-Head Attention-Based Neural Machine Translation EMNLP 2018 On the Automatic Generation of Medical Imaging Reports ACL 2018 On the Expressive Power of Overlapping Architectures of Deep Learning ICLR 2018 On the Implicit Bias of Dropout ICML 2018 On the importance of single directions for generalization ICLR 2018 On the Local Hessian in Back-propagation NeurIPS 2018 OpenSeq2Seq: Extensible Toolkit for Distributed and Mixed Precision Training of Sequence-to-Sequence Models ACL 2018 Operation-guided Neural Networks for High Fidelity Data-To-Text Generation EMNLP 2018 Optimization Algorithm Inspired Deep Neural Network Structure Design ACML 2018 Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition CVPR 2018 Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks EMNLP 2018 Pathologies of Neural Models Make Interpretations Difficult EMNLP 2018