Deep Learning

On the Robustness of Self-Attentive Models ACL 2019 On the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components AAAI 2019 On the Spectral Bias of Neural Networks ICML 2019 On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions CVPR 2019 On the Turing Completeness of Modern Neural Network Architectures ICLR 2019 On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks ICLR 2019 On the Universality of Invariant Networks ICML 2019 On the use of BERT for Neural Machine Translation EMNLP 2019 On the Word Alignment from Neural Machine Translation ACL 2019 Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text EMNLP 2019 On Variational Bounds of Mutual Information ICML 2019 On Zero-Shot Recognition of Generic Objects CVPR 2019 OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs ACL 2019 Open Domain Event Extraction Using Neural Latent Variable Models ACL 2019 Open Domain Web Keyphrase Extraction Beyond Language Modeling EMNLP 2019 Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts ACL 2019 Open Event Extraction from Online Text using a Generative Adversarial Network EMNLP 2019 OpenKiwi: An Open Source Framework for Quality Estimation ACL 2019 Open Sesame: Getting inside BERT’s Linguistic Knowledge ACL 2019 Open-Vocabulary Keyword Spotting with Audio and Text Embeddings Interspeech 2019 OperatorNet: Recovering 3D Shapes From Difference Operators ICCV 2019 Opinion Mining with Deep Contextualized Embeddings NAACL 2019 Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams ICLR 2019 Optimal Auctions through Deep Learning ICML 2019 Optimal Completion Distillation for Sequence Learning ICLR 2019