Deep Learning

GOT: An Optimal Transport framework for Graph comparison NeurIPS 2019 Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild CVPR 2019 GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild ICCV 2019 GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism 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 descent aligns the layers of deep linear networks ICLR 2019 Gradient Descent Finds Global Minima of Deep Neural Networks ICML 2019 Gradient Descent for One-Hidden-Layer Neural Networks: Polynomial Convergence and SQ Lower Bounds COLT 2019 Gradient Descent Provably Optimizes Over-parameterized Neural Networks ICLR 2019 Gradient Dynamics of Shallow Univariate ReLU Networks NeurIPS 2019 Gradient Harmonized Single-Stage Detector AAAI 2019 GradNet: Gradient-Guided Network for Visual Object Tracking ICCV 2019 Grammatical Sequence Prediction for Real-Time Neural Semantic Parsing ACL 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 Discriminators: Sample Complexity and Expressiveness NeurIPS 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