Co-occurring keywords · papers mentioning both
Papers
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification
NeurIPS 2023
Revisiting Rotation Averaging: Uncertainties and Robust Losses
CVPR 2023
Safe Multi-View Deep Classification
AAAI 2023
SAM as an Optimal Relaxation of Bayes
ICLR 2023
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice
JMLR 2023
Secure Out-of-Distribution Task Generalization with Energy-Based Models
NeurIPS 2023
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
ICLR 2023
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks
AAAI 2023
Seq-UPS: Sequential Uncertainty-Aware Pseudo-Label Selection for Semi-Supervised Text Recognition
WACV 2023
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
ICCV 2023
Switchable Representation Learning Framework With Self-Compatibility
CVPR 2023
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
NeurIPS 2023
The Treasure Beneath Multiple Annotations: An Uncertainty-Aware Edge Detector
CVPR 2023
TiDAL: Learning Training Dynamics for Active Learning
ICCV 2023
Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification
NeurIPS 2023
Topology-Aware Uncertainty for Image Segmentation
NeurIPS 2023
UCoL: Unsupervised Learning of Discriminative Facial Representations via Uncertainty-Aware Contrast
AAAI 2023
Uncertainty-Aware Image Captioning
AAAI 2023
Uncertainty-Aware Instance Reweighting for Off-Policy Learning
NeurIPS 2023
Uncertainty-Aware Interactive LiDAR Sampling for Deep Depth Completion
WACV 2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
CVPR 2023
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding
EMNLP 2023
Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling
AAAI 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
ICML 2023
Uncertainty Estimation for Connectionist Temporal Classification Based Automatic Speech Recognition
Interspeech 2023