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

IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task EMNLP 2020
Trust the Model When It Is Confident: Masked Model-based Actor-Critic NIPS 2020
Depth Uncertainty in Neural Networks NIPS 2020
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning NIPS 2020
Online Learning in Contextual Bandits using Gated Linear Networks NIPS 2020
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models NIPS 2020
Learning in the Wild with Incremental Skeptical Gaussian Processes IJCAI 2020
Probabilistic Regression for Visual Tracking CVPR 2020
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation AISTATS 2020
Variational Inference for Computational Imaging Inverse Problems JMLR 2020
Predictive Uncertainty Estimation for Tractable Deep Probabilistic Models IJCAI 2020
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization AAAI 2020
Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models AAAI 2020
HyperGAN: A Generative Model for Diverse, Performant Neural Networks ICML 2019
Acoustic Model Bootstrapping Using Semi-Supervised Learning INTERSPEECH 2019
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty NIPS 2019
Self-Supervised Mixture-of-Experts by Uncertainty Estimation AAAI 2019
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness NIPS 2019
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging UAI 2019
Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning IJCAI 2019
Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera CVPR 2019
Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation ICCV 2019
U-CAM: Visual Explanation Using Uncertainty Based Class Activation Maps ICCV 2019
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss ICML 2019
Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining CVPR 2019