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density estimation

397 papers

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Also known as

KL

Co-occurring keywords

normalizing flow (354) generative model (2889) crowd counting (101) variational inference (2069) unsupervised learning (3255) anomaly detection (740) autoregressive model (453) bayesian inference (1904) neural network (6616) variational autoencoder (1282)

Papers

Relative gradient optimization of the Jacobian term in unsupervised deep learning NIPS 2020
Tails of Lipschitz Triangular Flows ICML 2020
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity NIPS 2020
Density-Aware Graph for Deep Semi-Supervised Visual Recognition CVPR 2020
Invertible Residual Networks ICML 2019
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension ICML 2019
Sum-of-Squares Polynomial Flow ICML 2019
Boosted Density Estimation Remastered ICML 2019
Unsupervised Curricula for Visual Meta-Reinforcement Learning NIPS 2019
Latent Space Autoregression for Novelty Detection CVPR 2019
Context-Aware Crowd Counting CVPR 2019
Variational Autoencoder with Implicit Optimal Priors AAAI 2019
Hierarchical Decompositional Mixtures of Variational Autoencoders ICML 2019
Residual Regression With Semantic Prior for Crowd Counting CVPR 2019
On Learning Density Aware Embeddings CVPR 2019
On Fenchel Mini-Max Learning NIPS 2019
Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks IJCAI 2019
MaCow: Masked Convolutional Generative Flow NIPS 2019
Unconstrained Monotonic Neural Networks NIPS 2019
Residual Flows for Invertible Generative Modeling NIPS 2019
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks CVPR 2019
Estimation of smooth densities in Wasserstein distance COLT 2019
The Optimal Approximation Factor in Density Estimation COLT 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation UAI 2019
Neural Spline Flows NIPS 2019