conftrace_

out-of-distribution detection

617 papers

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Also known as

OODD OOD DETECTION

Co-occurring keywords

uncertainty quantification (1393) distribution shift (722) uncertainty estimation (648) anomaly detection (747) neural network (6616) ood detection (45) generative model (2892) representation learning (6206) domain generalization (1522) contrastive learning (4032)

Papers

Bi-Level Doubly Variational Learning for Energy-Based Latent Variable Models CVPR 2022
Deep Hybrid Models for Out-of-Distribution Detection CVPR 2022
Weakly Supervised Semantic Segmentation Using Out-of-Distribution Data CVPR 2022
Density-driven Regularization for Out-of-distribution Detection NIPS 2022
Out-of-Distribution Detection via Conditional Kernel Independence Model NIPS 2022
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection CVPR 2022
BARLE: Background-Aware Representation Learning for Background Shift Out-of-Distribution Detection EMNLP 2022
GAPX: Generalized Autoregressive Paraphrase-Identification X NIPS 2022
Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification AAAI 2022
Holistic Sentence Embeddings for Better Out-of-Distribution Detection EMNLP 2022
On the Practicality of Deterministic Epistemic Uncertainty ICML 2022
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL AISTATS 2022
Distributionally Robust Recurrent Decoders with Random Network Distillation ACL 2022
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model AAAI 2022
Self-distribution distillation: efficient uncertainty estimation UAI 2022
Unknown-Aware Object Detection: Learning What You Don't Know From Videos in the Wild CVPR 2022
Variational- and metric-based deep latent space for out-of-distribution detection UAI 2022
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives AAAI 2022
iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection AAAI 2022
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images ICML 2022
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel NIPS 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection NIPS 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models NIPS 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection RSS 2022
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention AAAI 2022