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

MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning WACV 2024
ATS: Adaptive Temperature Scaling for Enhancing Out-of-Distribution Detection Methods WACV 2024
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation NIPS 2024
A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise? CVPR 2024
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles From Driving Scenes WACV 2024
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024
OOD Aware Supervised Contrastive Learning WACV 2024
Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024
CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection IJCAI 2024
RCL: Reliable Continual Learning for Unified Failure Detection CVPR 2024
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection AAAI 2024
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts NIPS 2024
CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection AAAI 2024
SAME: Sample Reconstruction against Model Extraction Attacks AAAI 2024
Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection AAAI 2024
EAT: Towards Long-Tailed Out-of-Distribution Detection AAAI 2024
Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning IJCAI 2024
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection AAAI 2024
Robustly Train Normalizing Flows via KL Divergence Regularization AAAI 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models NIPS 2024
Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data AAAI 2024
Exploring Channel-Aware Typical Features for Out-of-Distribution Detection AAAI 2024
Segment Every Out-of-Distribution Object CVPR 2024
Test-Time Linear Out-of-Distribution Detection CVPR 2024
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning AAAI 2024