feature learning

Learning Semantic-aware Normalization for Generative Adversarial Networks NeurIPS 2020 Learning Texture Transformer Network for Image Super-Resolution CVPR 2020 Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition CVPR 2020 Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction COLING 2020 Learning to Structure an Image With Few Colors CVPR 2020 Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually) EMNLP 2020 Learning with Feature and Distribution Evolvable Streams ICML 2020 Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition CVPR 2020 M2m: Imbalanced Classification via Major-to-Minor Translation CVPR 2020 Modeling the Background for Incremental Learning in Semantic Segmentation CVPR 2020 Multi-Label Classification with Label Graph Superimposing AAAI 2020 Multiple Anchor Learning for Visual Object Detection CVPR 2020 Multi-Task Driven Feature Models for Thermal Infrared Tracking AAAI 2020 Neural Anisotropy Directions NeurIPS 2020 Neural Implicit Embedding for Point Cloud Analysis CVPR 2020 Neural Kernels Without Tangents ICML 2020 Non-Euclidean Universal Approximation NeurIPS 2020 Non-Local Neural Networks With Grouped Bilinear Attentional Transforms CVPR 2020 Object-Guided Instance Segmentation for Biological Images AAAI 2020 Online Deep Clustering for Unsupervised Representation Learning CVPR 2020 On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location CVPR 2020 Opening the Black Box: Automatically Characterizing Software for Algorithm Selection (Student Abstract) AAAI 2020 Optical Flow in Deep Visual Tracking AAAI 2020 PLLay: Efficient Topological Layer based on Persistent Landscapes NeurIPS 2020 Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling AAAI 2020