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

Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024
A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect EMNLP 2024
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles From Driving Scenes WACV 2024
Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks NIPS 2024
Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning NIPS 2024
RCL: Reliable Continual Learning for Unified Failure Detection CVPR 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections NIPS 2024
Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains CVPR 2024
Segment Every Out-of-Distribution Object CVPR 2024
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression EMNLP 2024
Density Uncertainty Layers for Reliable Uncertainty Estimation AISTATS 2024
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection AAAI 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection NIPS 2024
Diffusion Models are Certifiably Robust Classifiers NIPS 2024
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection NIPS 2024
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning NIPS 2024
Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information NIPS 2024
Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract) AAAI 2024
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts NIPS 2024
GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation NAACL 2024
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem AISTATS 2024
CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text EMNLP 2024
Test-Time Linear Out-of-Distribution Detection CVPR 2024
Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection AAAI 2024