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Papers (including subtopics)

Global Reasoning over Database Structures for Text-to-SQL Parsing EMNLP 2019 Global Second-Order Pooling Convolutional Networks CVPR 2019 GlobalTrait: Personality Alignment of Multilingual Word Embeddings AAAI 2019 Global Voices: Crossing Borders in Automatic News Summarization EMNLP 2019 Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction NAACL 2019 Glottal Closure Instants Detection from Speech Signal by Deep Features Extracted from Raw Speech and Linear Prediction Residual Interspeech 2019 GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding ICLR 2019 Goal-Driven Sequential Data Abstraction ICCV 2019 God as Interlocutor — Real or Imaginary? Prosodic Markers of Dialogue Speech and Expected Efficacy in Spoken Prayer Interspeech 2019 GODS: Generalized One-Class Discriminative Subspaces for Anomaly Detection ICCV 2019 GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver ICML 2019 GOT: An Optimal Transport framework for Graph comparison NeurIPS 2019 Gradient-Based Inference for Networks with Output Constraints AAAI 2019 Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening ACML 2019 Gradient Boosting with Piece-Wise Linear Regression Trees IJCAI 2019 Gradient Dynamics of Shallow Univariate ReLU Networks NeurIPS 2019 Gradient Harmonized Single-Stage Detector AAAI 2019 Gradient Information for Representation and Modeling NeurIPS 2019 Grading Uncompilable Programs AAAI 2019 Gradual Argumentation Evaluation for Stance Aggregation in Automated Fake News Detection ACL 2019 Grammar and Meaning: Analysing the Topology of Diachronic Word Embeddings ACL 2019 Grammatical-Error-Aware Incorrect Example Retrieval System for Learners of Japanese as a Second Language ACL 2019 Grammatical Error Correction in Low-Resource Scenarios EMNLP 2019 Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks AAAI 2019 Graph Agreement Models for Semi-Supervised Learning NeurIPS 2019