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

Hybrid Models with Deep and Invertible Features ICML 2019
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift NIPS 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty ICML 2019
Classification-Reconstruction Learning for Open-Set Recognition CVPR 2019
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness NIPS 2019
Noise Contrastive Priors for Functional Uncertainty UAI 2019
Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem CVPR 2019
HyperGAN: A Generative Model for Diverse, Performant Neural Networks ICML 2019
Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition CVPR 2019
Deep Transfer Learning for Multiple Class Novelty Detection CVPR 2019
Predictive Uncertainty Estimation via Prior Networks NIPS 2018
Evidential Deep Learning to Quantify Classification Uncertainty NIPS 2018
Open Category Detection with PAC Guarantees ICML 2018
Out-of-Distribution Detection using Multiple Semantic Label Representations NIPS 2018
Deep Anomaly Detection Using Geometric Transformations NIPS 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks NIPS 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NIPS 2017