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Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forces

Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forces

8 October 2024
Vahid Hashemi
Jan Křetínský
Sabine Rieder
Torsten Schön
Jan Vorhoff
ArXiv (abs)PDFHTML

Papers citing "Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forces"

11 / 11 papers shown
Title
Monitizer: Automating Design and Evaluation of Neural Network Monitors
Monitizer: Automating Design and Evaluation of Neural Network Monitors
Muqsit Azeem
Marta Grobelna
Sudeep Kanav
Jan Křetínský
Stefanie Mohr
Sabine Rieder
71
2
0
16 May 2024
Out-of-Distribution Detection with Deep Nearest Neighbors
Out-of-Distribution Detection with Deep Nearest Neighbors
Yiyou Sun
Yifei Ming
Xiaojin Zhu
Yixuan Li
OODD
206
533
0
13 Apr 2022
Provable Guarantees for Understanding Out-of-distribution Detection
Provable Guarantees for Understanding Out-of-distribution Detection
Peyman Morteza
Yixuan Li
OODD
105
95
0
01 Dec 2021
Outside the Box: Abstraction-Based Monitoring of Neural Networks
Outside the Box: Abstraction-Based Monitoring of Neural Networks
T. Henzinger
Anna Lukina
Christian Schilling
AAML
81
59
0
20 Nov 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive
  Uncertainty Under Dataset Shift
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Yaniv Ovadia
Emily Fertig
Jie Jessie Ren
Zachary Nado
D. Sculley
Sebastian Nowozin
Joshua V. Dillon
Balaji Lakshminarayanan
Jasper Snoek
UQCV
187
1,705
0
06 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
172
18,193
0
28 May 2019
Runtime Monitoring Neuron Activation Patterns
Runtime Monitoring Neuron Activation Patterns
Chih-Hong Cheng
Georg Nührenberg
Hirotoshi Yasuoka
69
75
0
18 Sep 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjDVLMOOD
179
2,459
0
06 Sep 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and
  Adversarial Attacks
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
194
2,063
0
10 Jul 2018
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
273
18,284
0
02 Jun 2016
Describing Textures in the Wild
Describing Textures in the Wild
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
S. Mohamed
Andrea Vedaldi
3DV
151
2,693
0
14 Nov 2013
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