density estimation

Unsupervised Curricula for Visual Meta-Reinforcement Learning NeurIPS 2019 Variational Autoencoder with Implicit Optimal Priors AAAI 2019 A loss framework for calibrated anomaly detection NeurIPS 2018 Bias and Generalization in Deep Generative Models: An Empirical Study NeurIPS 2018 Conditional Noise-Contrastive Estimation of Unnormalised Models ICML 2018 Continuous-Time Flows for Efficient Inference and Density Estimation ICML 2018 Crowd Counting using Deep Recurrent Spatial-Aware Network IJCAI 2018 Crowd Counting via Adversarial Cross-Scale Consistency Pursuit CVPR 2018 CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes CVPR 2018 DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation CVPR 2018 Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection ICLR 2018 Deep Density Clustering of Unconstrained Faces CVPR 2018 Deep Density Destructors ICML 2018 Deep Homogeneous Mixture Models: Representation, Separation, and Approximation NeurIPS 2018 Density-Aware Single Image De-Raining Using a Multi-Stream Dense Network CVPR 2018 Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN CVPR 2018 Efficient and principled score estimation with Nyström kernel exponential families AISTATS 2018 Estimators for Multivariate Information Measures in General Probability Spaces NeurIPS 2018 Fast and Sample Near-Optimal Algorithms for Learning Multidimensional Histograms COLT 2018 Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions ICLR 2018 Finding Frequent Entities in Continuous Data IJCAI 2018 Local Density Estimation in High Dimensions ICML 2018 Maximum Selection and Sorting with Adversarial Comparators JMLR 2018 Nonparametric Density Estimation under Adversarial Losses NeurIPS 2018 PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples ICLR 2018