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

Topology-Aware Uncertainty for Image Segmentation NIPS 2023
UCoL: Unsupervised Learning of Discriminative Facial Representations via Uncertainty-Aware Contrast AAAI 2023
Uncertainty-Aware Image Captioning AAAI 2023
Multiclass Confidence and Localization Calibration for Object Detection CVPR 2023
Frame Interpolation Transformer and Uncertainty Guidance CVPR 2023
The Treasure Beneath Multiple Annotations: An Uncertainty-Aware Edge Detector CVPR 2023
Open Set Action Recognition via Multi-Label Evidential Learning CVPR 2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection CVPR 2023
Secure Out-of-Distribution Task Generalization with Energy-Based Models NIPS 2023
Epistemic Neural Networks NIPS 2023
Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification NIPS 2023
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation NIPS 2023
Uncertainty-guided Learning for Improving Image Manipulation Detection ICCV 2023
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models ICCV 2023
Adaptive Estimation Q-learning with Uncertainty and Familiarity IJCAI 2023
Safe Active Learning for Multi-Output Gaussian Processes AISTATS 2022
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance ICML 2022
Uncertainty-Driven Dehazing Network AAAI 2022
360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning NIPS 2022
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness NIPS 2022
CARD: Classification and Regression Diffusion Models NIPS 2022
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel NIPS 2022
NP-Match: When Neural Processes meet Semi-Supervised Learning ICML 2022
FLAG: Flow-Based 3D Avatar Generation From Sparse Observations CVPR 2022
Contour-Hugging Heatmaps for Landmark Detection CVPR 2022