Bayesian Inference

Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling ICML 2021 Treatment Effect Estimation with Disentangled Latent Factors AAAI 2021 Truncated Marginal Neural Ratio Estimation NeurIPS 2021 Trusted-maximizers entropy search for efficient Bayesian optimization UAI 2021 Trusted Multi-View Classification ICLR 2021 Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes CoRL 2021 Type-augmented Relation Prediction in Knowledge Graphs AAAI 2021 UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks AAAI 2021 Uncertainty-aware Active Learning for Optimal Bayesian Classifier ICLR 2021 Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data Interspeech 2021 Uncertainty-aware sensitivity analysis using Rényi divergences UAI 2021 Uncertainty-Driven Loss for Single Image Super-Resolution NeurIPS 2021 Uncertainty Guided Collaborative Training for Weakly Supervised Temporal Action Detection CVPR 2021 Uncertainty-Guided Model Generalization to Unseen Domains CVPR 2021 Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks AAAI 2021 Uncertainty Quantification and Deep Ensembles NeurIPS 2021 Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks AAAI 2021 Uncertainty Reduction for Model Adaptation in Semantic Segmentation CVPR 2021 Uncertainty Sets for Image Classifiers using Conformal Prediction ICLR 2021 Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning ICML 2021 Understanding Partial Multi-Label Learning via Mutual Information NeurIPS 2021 Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation ACL 2021 Unsupervised Bayesian Adaptation of PLDA for Speaker Verification Interspeech 2021 Unsupervised Relation Extraction: A Variational Autoencoder Approach EMNLP 2021 Using Psychologically-Informed Priors for Suicide Prediction in the CLPsych 2021 Shared Task NAACL 2021