On Calibration of Modern Neural Networks

14 June 2017

Papers citing "On Calibration of Modern Neural Networks"

50 / 1,243 papers shown

Title
Vision-Based Uncertainty-Aware Motion Planning based on Probabilistic Semantic Segmentation Ralf Römer Armin Lederer Samuel Tesfazgi Sandra Hirche 29 2 0 14 Sep 2022
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation Yanan Wu Zhiyuan Zeng Keqing He Yutao Mou Pei Wang Weiran Xu 44 8 0 14 Sep 2022
Multi-robot Mission Planning in Dynamic Semantic Environments Samarth Kalluraya George J. Pappas Y. Kantaros 42 22 0 13 Sep 2022
DOMINO: Domain-aware Model Calibration in Medical Image Segmentation Skylar E. Stolte Kyle Volle A. Indahlastari Alejandro Albizu A. Woods Kevin Brink Matthew Hale R. Fang 25 5 0 13 Sep 2022
Learning When to Say "I Don't Know" Nicholas Kashani Motlagh Jim Davis Tim Anderson Jeremy Gwinnup 26 1 0 11 Sep 2022
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey S. Sun AI4CE 38 10 0 08 Sep 2022
Investigating Reasons for Disagreement in Natural Language Inference Nan-Jiang Jiang M. Marneffe 27 26 0 07 Sep 2022
GRASP: A Goodness-of-Fit Test for Classification Learning Adel Javanmard M. Mehrabi 15 0 0 05 Sep 2022
ScaleFace: Uncertainty-aware Deep Metric Learning Roma Kail Kirill Fedyanin Nikita Muravev Alexey Zaytsev Maxim Panov CVBM UQCV 34 5 0 05 Sep 2022
Probing Contextual Diversity for Dense Out-of-Distribution Detection Silvio Galesso M. A. Bravo Mehdi Naouar Thomas Brox 21 4 0 30 Aug 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection Samuel Wilson Tobias Fischer Feras Dayoub Dimity Miller Niko Sünderhauf OODD 31 29 0 29 Aug 2022
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 29 17 0 25 Aug 2022
Why is the video analytics accuracy fluctuating, and what can we do about it? Sibendu Paul Kunal Rao G. Coviello Murugan Sankaradas Oliver Po Y. C. Hu S. Chakradhar AAML 22 3 0 23 Aug 2022
Tunable Hybrid Proposal Networks for the Open World Matthew J. Inkawhich Nathan Inkawhich H. Li Yiran Chen 32 2 0 23 Aug 2022
Survival Mixture Density Networks Xintian Han Mark Goldstein Rajesh Ranganath 28 5 0 23 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 43 17 0 22 Aug 2022
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19 Zhenrui Yue Huimin Zeng Ziyi Kou Lanyu Shang Dong Wang 38 31 0 20 Aug 2022
Deep Learning for Choice Modeling Zhongze Cai Hanrui Wang Kalyan Talluri Xiaocheng Li 14 7 0 19 Aug 2022
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model Xiulong Yang Sheng-Min Shih Yinlin Fu Xiaoting Zhao Shihao Ji DiffM 33 56 0 16 Aug 2022
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model Xiang-Rong Sheng Jingyue Gao Yueyao Cheng Siran Yang Shuguang Han Hongbo Deng Yuning Jiang Jian Xu Bo Zheng 23 26 0 12 Aug 2022
Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation Hao Li Yang Nan Javier Del Ser Guang Yang EDL OOD UQCV 21 39 0 11 Aug 2022
Interpretable Uncertainty Quantification in AI for HEP Thomas Y. Chen B. Dey A. Ghosh Michael Kagan Brian D. Nord Nesar Ramachandra 33 7 0 05 Aug 2022
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation Jiamin Liang Yuhao Huang Haoming Li Shuangchi He Xindi Hu Zejian Chen Isabel Kaltenborn Dong Ni OOD 31 42 0 05 Aug 2022
Improved post-hoc probability calibration for out-of-domain MRI segmentation Cheng Ouyang Shuo Wang Chong Chen Zeju Li Wenjia Bai Bernhard Kainz Daniel Rueckert UQCV MedIm 21 4 0 04 Aug 2022
Information Gain Sampling for Active Learning in Medical Image Classification Raghav Mehta Changjian Shui Brennan Nichyporuk Tal Arbel 19 5 0 01 Aug 2022
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks Sérgio A. Balanya Juan Maroñas Daniel Ramos OOD 40 14 0 31 Jul 2022
Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety Puja Trivedi Danai Koutra Jayaraman J. Thiagarajan AAML 30 0 0 26 Jul 2022
Can we achieve robustness from data alone? Nikolaos Tsilivis Jingtong Su Julia Kempe OOD DD 36 18 0 24 Jul 2022
Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentation Zheng Tong Tengyu Ma J. Huyan Wei-guang Zhang SSeg 38 2 0 24 Jul 2022
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 3DV 37 7 0 23 Jul 2022
An Impartial Take to the CNN vs Transformer Robustness Contest Francesco Pinto Philip Torr P. Dokania UQCV AAML 33 49 0 22 Jul 2022
Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions Theodoros Panagiotakopoulos Pier Luigi Dovesi Linus Harenstam-Nielsen Matteo Poggi CLL 26 18 0 21 Jul 2022
Latent Discriminant deterministic Uncertainty Gianni Franchi Xuanlong Yu Andrei Bursuc Emanuel Aldea Séverine Dubuisson David Filliat UQCV 24 18 0 20 Jul 2022
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores Zeju Li Konstantinos Kamnitsas Mobarakol Islam Chen Chen Ben Glocker 30 9 0 20 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning F. Wenzel Andrea Dittadi Peter V. Gehler Carl-Johann Simon-Gabriel Max Horn ... Chris Russell Thomas Brox Bernt Schiele Bernhard Schölkopf Francesco Locatello OOD OODD AAML 62 71 0 19 Jul 2022
IDPS Signature Classification with a Reject Option and the Incorporation of Expert Knowledge Hidetoshi Kawaguchi Yuichi Nakatani S. Okada 30 3 0 19 Jul 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift Ananya Kumar Tengyu Ma Percy Liang Aditi Raghunathan UQCV OODD OOD 47 38 0 18 Jul 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 39 1 0 18 Jul 2022
Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors Gianluca Detommaso Alberto Gasparin A. Wilson Cédric Archambeau UQCV BDL 34 3 0 17 Jul 2022
Single Model Uncertainty Estimation via Stochastic Data Centering Jayaraman J. Thiagarajan Rushil Anirudh V. Narayanaswamy P. Bremer UQCV OOD 35 26 0 14 Jul 2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks Uddeshya Upadhyay Shyamgopal Karthik Yanbei Chen Massimiliano Mancini Zeynep Akata UQCV BDL 35 22 0 14 Jul 2022
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation Lars Schmarje Vasco Grossmann Claudius Zelenka S. Dippel R. Kiko ... M. Pastell J. Stracke A. Valros N. Volkmann Reinahrd Koch 45 34 0 13 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip Torr P. Dokania UQCV 27 30 0 13 Jul 2022
Simulation-guided Beam Search for Neural Combinatorial Optimization Jinho Choo Yeong-Dae Kwon Jihoon Kim Jeongwoo Jae André Hottung Kevin Tierney Youngjune Gwon 30 65 0 13 Jul 2022
Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction Charles Lu Syed Rakin Ahmed Praveer Singh Jayashree Kalpathy-Cramer OOD 30 5 0 12 Jul 2022
Language Models (Mostly) Know What They Know Saurav Kadavath Tom Conerly Amanda Askell T. Henighan Dawn Drain ... Nicholas Joseph Benjamin Mann Sam McCandlish C. Olah Jared Kaplan ELM 59 722 0 11 Jul 2022
Consistency is the key to further mitigating catastrophic forgetting in continual learning Prashant Shivaram Bhat Bahram Zonooz Elahe Arani CLL 32 16 0 11 Jul 2022
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation Xinyu Lyu Lianli Gao Pengpeng Zeng Hengtao Shen Jingkuan Song 39 18 0 11 Jul 2022
Gradual Domain Adaptation without Indexed Intermediate Domains Hong-You Chen Wei-Lun Chao CLL 57 40 0 11 Jul 2022
Test-Time Adaptation via Self-Training with Nearest Neighbor Information M-U Jang Sae-Young Chung Hye Won Chung OOD TTA 41 56 0 08 Jul 2022