Architectures

Gradient Descent Provably Optimizes Over-parameterized Neural Networks ICLR 2019 Gradient Dynamics of Shallow Univariate ReLU Networks NeurIPS 2019 Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks AAAI 2019 Graph Agreement Models for Semi-Supervised Learning NeurIPS 2019 Graph and Autoencoder Based Feature Extraction for Zero-shot Learning IJCAI 2019 Graph Attention Convolution for Point Cloud Semantic Segmentation CVPR 2019 Graph-based Dependency Parsing with Graph Neural Networks ACL 2019 Graph-Based Global Reasoning Networks CVPR 2019 Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures ACL 2019 Graph-based Neural Sentence Ordering IJCAI 2019 Graph-Based Object Classification for Neuromorphic Vision Sensing ICCV 2019 Graph-Based Semi-Supervised Learning for Natural Language Understanding EMNLP 2019 Graph Based Translation Memory for Neural Machine Translation AAAI 2019 Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action Recognition AAAI 2019 Graph Convolutional Gaussian Processes ICML 2019 Graph Convolutional Network Hashing for Cross-Modal Retrieval IJCAI 2019 Graph convolutional networks for exploring authorship hypotheses NAACL 2019 Graph Convolutional Networks for Temporal Action Localization ICCV 2019 Graph Convolutional Networks for Text Classification AAAI 2019 Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks AAAI 2019 Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference IJCAI 2019 Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning IJCAI 2019 Graph Convolutional Tracking CVPR 2019 Graph Element Networks: adaptive, structured computation and memory ICML 2019 Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability AISTATS 2019