Co-occurring keywords · papers mentioning both
Papers
Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier
WACV 2023
Balanced Energy Regularization Loss for Out-of-Distribution Detection
CVPR 2023
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
ICML 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
ICML 2023
Birds of an odd feather: guaranteed out-of-distribution (OOD) novel category detection
UAI 2023
Block Selection Method for Using Feature Norm in Out-of-Distribution Detection
CVPR 2023
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning
NeurIPS 2023
Calibrating Transformers via Sparse Gaussian Processes
ICLR 2023
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
NeurIPS 2023
Characterizing Out-of-Distribution Error via Optimal Transport
NeurIPS 2023
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks
ACL 2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
ICCV 2023
Concept-based Explanations for Out-of-Distribution Detectors
ICML 2023
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow
UAI 2023
Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning
NeurIPS 2023
Constraining Representations Yields Models That Know What They Don't Know
ICLR 2023
Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model
ACL 2023
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models
ACL 2023
DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning
AAAI 2023
Decoupling MaxLogit for Out-of-Distribution Detection
CVPR 2023
Deep Deterministic Uncertainty: A New Simple Baseline
CVPR 2023
Deep Feature Deblurring Diffusion for Detecting Out-of-Distribution Objects
ICCV 2023
Detecting Adversarial Faces Using Only Real Face Self-Perturbations
IJCAI 2023
Detecting Out-of-distribution Data through In-distribution Class Prior
ICML 2023
Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns
CVPR 2023