conftrace_

uncertainty estimation

648 papers

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Also known as

UE

Co-occurring keywords

uncertainty quantification (1393) out-of-distribution detection (617) large language model (13587) bayesian inference (1907) active learning (1301) neural network (6616) semantic segmentation (3186) variational inference (2069) semi-supervised learning (2341) domain adaptation (4595)

Papers

Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction NIPS 2021
Fast Adaptation with Linearized Neural Networks AISTATS 2021
Understanding the Under-Coverage Bias in Uncertainty Estimation NIPS 2021
Can multi-label classification networks know what they don’t know? NIPS 2021
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation EMNLP 2021
Distributional Depth-Based Estimation of Object Articulation Models CORL 2021
Bounded-cost Search Using Estimates of Uncertainty IJCAI 2021
Active Learning for Deep Object Detection via Probabilistic Modeling ICCV 2021
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions NIPS 2021
Bayesian Attention Belief Networks ICML 2021
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation ICML 2021
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach AAAI 2021
Uncertainty-Aware Machine Translation Evaluation EMNLP 2021
Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering EMNLP 2021
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? ICML 2021
Bayesian Adaptation for Covariate Shift NIPS 2021
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift NIPS 2021
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training EMNLP 2021
Objects Are Different: Flexible Monocular 3D Object Detection CVPR 2021
Probabilistic Embeddings for Cross-Modal Retrieval CVPR 2021
QEMind: Alibaba’s Submission to the WMT21 Quality Estimation Shared Task EMNLP 2021
Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network CVPR 2021
Structured Dropout Variational Inference for Bayesian Neural Networks NIPS 2021
Bayesian Deep Basis Fitting for Depth Completion With Uncertainty ICCV 2021
Uncertainty-Driven Loss for Single Image Super-Resolution NIPS 2021