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

Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification? ACL 2024
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement CVPR 2024
Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection NIPS 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely? NIPS 2024
A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding NIPS 2024
On the Use of Anchoring for Training Vision Models NIPS 2024
SEL-BALD: Deep Bayesian Active Learning with Selective Labels NIPS 2024
Kermut: Composite kernel regression for protein variant effects NIPS 2024
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning ACL 2024
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation? EMNLP 2024
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models ACL 2024
SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024
Using Artificial Populations to Study Psychological Phenomena in Neural Models AAAI 2024
Switchable Representation Learning Framework With Self-Compatibility CVPR 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization NIPS 2023
Reliability in Semantic Segmentation: Are We on the Right Track? CVPR 2023
Proximity-Informed Calibration for Deep Neural Networks NIPS 2023
Uncertainty-Aware Instance Reweighting for Off-Policy Learning NIPS 2023
Guiding Pseudo-Labels With Uncertainty Estimation for Source-Free Unsupervised Domain Adaptation CVPR 2023
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models AAAI 2023
A Probabilistic Framework for Lifelong Test-Time Adaptation CVPR 2023
Model-Based Offline Weighted Policy Optimization (Student Abstract) AAAI 2023
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction NIPS 2023
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation NIPS 2023
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking CVPR 2023