feature space

Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization NeurIPS 2020 GANSpace: Discovering Interpretable GAN Controls NeurIPS 2020 Learning with Feature and Distribution Evolvable Streams ICML 2020 LTF: A Label Transformation Framework for Correcting Label Shift ICML 2020 Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval AAAI 2020 Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation CVPR 2020 Neural Kernels Without Tangents ICML 2020 One-Shot Image Classification by Learning to Restore Prototypes AAAI 2020 Partial Multi-Label Learning with Label Distribution AAAI 2020 Post-training Iterative Hierarchical Data Augmentation for Deep Networks NeurIPS 2020 Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound ICML 2020 Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness ICLR 2020 Towards Understanding the Regularization of Adversarial Robustness on Neural Networks ICML 2020 Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds ICLR 2020 Transfer Value Iteration Networks AAAI 2020 A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification EMNLP 2019 Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks ICCV 2019 Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources AAAI 2019 Curvilinear Distance Metric Learning NeurIPS 2019 Discriminative Feature Transformation for Occluded Pedestrian Detection ICCV 2019 Few-Shot Learning via Saliency-Guided Hallucination of Samples CVPR 2019 General E(2)-Equivariant Steerable CNNs NeurIPS 2019 Implicit Semantic Data Augmentation for Deep Networks NeurIPS 2019 Inter-Class Angular Loss for Convolutional Neural Networks AAAI 2019 Large-Scale Study of Curiosity-Driven Learning ICLR 2019