Co-occurring keywords · papers mentioning both
Papers
Interacting Contour Stochastic Gradient Langevin Dynamics
ICLR 2022
Introspective Learning : A Two-Stage approach for Inference in Neural Networks
NeurIPS 2022
Laplace Approximation Based Epistemic Uncertainty Estimation in 3D Object Detection
CoRL 2022
Laplacian Autoencoders for Learning Stochastic Representations
NeurIPS 2022
Learning Optimal Conformal Classifiers
ICLR 2022
Leveraging Self-Supervision for Cross-Domain Crowd Counting
CVPR 2022
Low-Precision Stochastic Gradient Langevin Dynamics
ICML 2022
Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty
ICLR 2022
Modeling Aleatoric Uncertainty for Camouflaged Object Detection
WACV 2022
NOMU: Neural Optimization-based Model Uncertainty
ICML 2022
Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection
CVPR 2022
NP-Match: When Neural Processes meet Semi-Supervised Learning
ICML 2022
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks
IJCAI 2022
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization
AISTATS 2022
Open-World Semi-Supervised Learning
ICLR 2022
Orientation Estimation of Abdominal Ultrasound Images with Multi-Hypotheses Networks
MIDL 2022
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks
AAAI 2022
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures
CVPR 2022
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance
ICML 2022
Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks
AAAI 2022
QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking
CoRL 2022
Rethinking Negative Sampling for Handling Missing Entity Annotations
ACL 2022
RIO: Rotation-Equivariance Supervised Learning of Robust Inertial Odometry
CVPR 2022
Robust Depth Completion with Uncertainty-Driven Loss Functions
AAAI 2022
Safe Active Learning for Multi-Output Gaussian Processes
AISTATS 2022