conftrace_

ood detection

45 papers

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Co-occurring keywords

out-of-distribution detection (617) distribution shift (722) covariate shift (157) domain generalization (1522) representation learning (6206) neural network (6616) energy score (12) uncertainty estimation (648) zero-shot learning (3650) graph neural network (3962)

Papers

GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents AAAI 2026
ENCORE : A Neural Collapse Perspective on Out-of-Distribution Detection in Deep Neural Networks WACV 2026
Graph Out-of-Distribution Detection via Test-Time Calibration with Dual Dynamic Dictionaries AAAI 2026
DCAC: Dynamic Class-Aware Cache Creates Stronger Out-of-Distribution Detectors AAAI 2026
DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection ICCV 2025
A Unified Interpretation of Training-Time Out-of-Distribution Detection ICCV 2025
REVIVING YOUR MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing EMNLP 2025
All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning IJCAI 2025
OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection CVPR 2025
EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion AAAI 2025
CRAFT: Class Ranking Aware Fine-Tuning for Enhanced Out-of-Distribution Detection WACV 2025
Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection AAAI 2025
ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction ICCV 2025
CORES: Convolutional Response-based Score for Out-of-distribution Detection CVPR 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection NIPS 2024
Learning Structured Representations with Hyperbolic Embeddings NIPS 2024
On the Learnability of Out-of-distribution Detection JMLR 2024
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection AAAI 2024
A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise? CVPR 2024
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts NIPS 2024
Enhancing the Power of OOD Detection via Sample-Aware Model Selection CVPR 2024
Discriminability-Driven Channel Selection for Out-of-Distribution Detection CVPR 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View NIPS 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models NIPS 2024
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection ICML 2023