density estimation

Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free ICML 2021 Same Same but DifferNet: Semi-Supervised Defect Detection With Normalizing Flows WACV 2021 Self Normalizing Flows ICML 2021 Sequential prediction under log-loss and misspecification COLT 2021 Sliced Iterative Normalizing Flows ICML 2021 Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference AISTATS 2021 Stochastic continuous normalizing flows: training SDEs as ODEs UAI 2021 Tensor-train density estimation UAI 2021 Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems EMNLP 2021 Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows NeurIPS 2021 Tractable Regularization of Probabilistic Circuits NeurIPS 2021 Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image ICCV 2021 Types of Out-of-Distribution Texts and How to Detect Them EMNLP 2021 Variational inference with continuously-indexed normalizing flows UAI 2021 Adaptive Dilated Network With Self-Correction Supervision for Counting CVPR 2020 A Nonparametric Off-Policy Policy Gradient AISTATS 2020 AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation ICML 2020 Attention Scaling for Crowd Counting CVPR 2020 Autoregressive Score Matching NeurIPS 2020 Deep Residual Flow for Out of Distribution Detection CVPR 2020 Density-Aware Feature Embedding for Face Clustering CVPR 2020 Density-Aware Graph for Deep Semi-Supervised Visual Recognition CVPR 2020 Distribution Matching for Crowd Counting NeurIPS 2020 Exchangeable Generative Models with Flow Scans AAAI 2020 Faster Wasserstein Distance Estimation with the Sinkhorn Divergence NeurIPS 2020