gaussian kernel

Gaussian Kernel Mixture Network for Single Image Defocus Deblurring NeurIPS 2021 One-Sketch-for-All: Non-linear Random Features from Compressed Linear Measurements AISTATS 2021 Quantization Algorithms for Random Fourier Features ICML 2021 Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation CVPR 2021 Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method NeurIPS 2021 SOFT: Softmax-free Transformer with Linear Complexity NeurIPS 2021 3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels AAAI 2020 Curriculum By Smoothing NeurIPS 2020 Scaling up Kernel Ridge Regression via Locality Sensitive Hashing AISTATS 2020 Sparse Subspace Clustering with Entropy-Norm ICML 2020 Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework UAI 2020 Training-Time-Friendly Network for Real-Time Object Detection AAAI 2020 Variational Context-Deformable ConvNets for Indoor Scene Parsing CVPR 2020 Efficient online learning with kernels for adversarial large scale problems NeurIPS 2019 Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel AAAI 2019 Gaussian Temporal Awareness Networks for Action Localization CVPR 2019 Hierarchical Clustering for Euclidean Data AISTATS 2019 Improving MMD-GAN Training with Repulsive Loss Function ICLR 2019 Learning to Control the Fine-grained Sentiment for Story Ending Generation ACL 2019 Towards Fine-grained Text Sentiment Transfer ACL 2019 Learning to Control the Specificity in Neural Response Generation ACL 2018 Line separation from topographic maps using regional color and spatial information IJCAI 2018 UMD at SemEval-2018 Task 10: Can Word Embeddings Capture Discriminative Attributes? SemEval 2018 Is Input Sparsity Time Possible for Kernel Low-Rank Approximation? NeurIPS 2017 Relative Error Embeddings of the Gaussian Kernel Distance ALT 2017