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

Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks EMNLP 2022
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble EMNLP 2022
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection NIPS 2022
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation CVPR 2022
Generalized Intent Discovery: Learning from Open World Dialogue System COLING 2022
Transformer-based out-of-distribution detection for clinically safe segmentation MIDL 2022
Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free NIPS 2022
Boosting Out-of-distribution Detection with Typical Features NIPS 2022
AdaFocal: Calibration-aware Adaptive Focal Loss NIPS 2022
Your Out-of-Distribution Detection Method is Not Robust! NIPS 2022
Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game NIPS 2022
Maximum Class Separation as Inductive Bias in One Matrix NIPS 2022
A Theoretical Study on Solving Continual Learning NIPS 2022
Estimating Soft Labels for Out-of-Domain Intent Detection EMNLP 2022
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery EMNLP 2022
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning EMNLP 2022
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning EMNLP 2022
Hidden in Plain Sight: Subgroup Shifts Escape OOD Detection MIDL 2022
Introspective Learning : A Two-Stage approach for Inference in Neural Networks NIPS 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture NIPS 2022
Evaluating Out-of-Distribution Performance on Document Image Classifiers NIPS 2022
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers CVPR 2022
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness NIPS 2022
A Closer Look at Few-Shot Out-of-Distribution Intent Detection COLING 2022
Benchmarking the Covariate Shift Robustness of Open-world Intent Classification Approaches IJCNLP 2022