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

YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection CVPR 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models NIPS 2024
On the Adversarial Robustness of Benjamini Hochberg NIPS 2024
A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise? CVPR 2024
Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data AAAI 2024
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection AAAI 2024
UMB: Understanding Model Behavior for Open-World Object Detection NIPS 2024
Unified Entropy Optimization for Open-Set Test-Time Adaptation CVPR 2024
Exploring Channel-Aware Typical Features for Out-of-Distribution Detection AAAI 2024
Learning Transferable Negative Prompts for Out-of-Distribution Detection CVPR 2024
Out-of-Distribution Detection With Logical Reasoning WACV 2024
SAME: Sample Reconstruction against Model Extraction Attacks AAAI 2024
Learning Structured Representations with Hyperbolic Embeddings NIPS 2024
CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection AAAI 2024
One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning CVPR 2024
Enhancing the Power of OOD Detection via Sample-Aware Model Selection CVPR 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections NIPS 2024
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning AAAI 2024
RCL: Reliable Continual Learning for Unified Failure Detection CVPR 2024
CORES: Convolutional Response-based Score for Out-of-distribution Detection CVPR 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model NIPS 2024
Test-Time Linear Out-of-Distribution Detection CVPR 2024
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection CVPR 2024
Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection NIPS 2024