On Calibration of Modern Neural Networks

14 June 2017

Papers citing "On Calibration of Modern Neural Networks"

50 / 1,275 papers shown

Title
C2F-TCN: A Framework for Semi and Fully Supervised Temporal Action Segmentation Dipika Singhania R. Rahaman Angela Yao 19 28 0 20 Dec 2022
A Probabilistic Framework for Lifelong Test-Time Adaptation Dhanajit Brahma Piyush Rai TTA 24 35 0 19 Dec 2022
TAS-NIR: A VIS+NIR Dataset for Fine-grained Semantic Segmentation in Unstructured Outdoor Environments Peter Mortimer Hans-Joachim Wuensche 19 6 0 19 Dec 2022
Confidence-aware Training of Smoothed Classifiers for Certified Robustness Jongheon Jeong Seojin Kim Jinwoo Shin AAML 21 7 0 18 Dec 2022
Neural Enhanced Belief Propagation for Multiobject Tracking Mingchao Liang Florian Meyer VOT 38 25 0 16 Dec 2022
Calibrating AI Models for Wireless Communications via Conformal Prediction K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 32 6 0 15 Dec 2022
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model Maohao Shen Yuheng Bu P. Sattigeri S. Ghosh Subhro Das G. Wornell UQCV OOD BDL 15 31 0 14 Dec 2022
Improving group robustness under noisy labels using predictive uncertainty Dongpin Oh Dae Lee Jeunghyun Byun Bonggun Shin UQCV 25 3 0 14 Dec 2022
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results Sergey Levine Dhruv Shah SSL 54 21 0 13 Dec 2022
PERFEX: Classifier Performance Explanations for Trustworthy AI Systems E. Walraven Ajaya Adhikari C. Veenman 19 2 0 12 Dec 2022
Client Selection for Federated Bayesian Learning Jiarong Yang Yuan Liu Rahif Kassab FedML 43 11 0 11 Dec 2022
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding Minh-Long Luu Zeyi Huang Eric P. Xing Yong Jae Lee Haohan Wang AAML 38 1 0 09 Dec 2022
Robust Graph Representation Learning via Predictive Coding Billy Byiringiro Tommaso Salvatori Thomas Lukasiewicz OOD 31 6 0 09 Dec 2022
Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh Hanie Sedghi Patrick Thiran NoLa TDI 39 4 0 08 Dec 2022
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding Jianhao Yan Jin Xu Fandong Meng Jie Zhou Yue Zhang 24 3 0 08 Dec 2022
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation Zhendong Liu Wenyu Jiang Min Guo Chongjun Wang AAML 25 1 0 08 Dec 2022
Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift Min-seok Seo Do-Yeon Kim Seungheon Shin Eunbin Kim Sewoong Ahn Yeji Choi OOD 23 8 0 06 Dec 2022
Automated Identification of Eviction Status from Electronic Health Record Notes Zonghai Yao J. Tsai Weisong Liu David Levy Emily Druhl J. Reisman Hongfeng Yu 30 10 0 06 Dec 2022
Sources of Noise in Dialogue and How to Deal with Them Derek Chen Zhou Yu 29 2 0 06 Dec 2022
Block Selection Method for Using Feature Norm in Out-of-distribution Detection Yeonguk Yu Sungho Shin Seongju Lee C. Jun Kyoobin Lee OODD 25 31 0 05 Dec 2022
Learning Imbalanced Data with Vision Transformers Zhengzhuo Xu R. Liu Shuo Yang Zenghao Chai Chun Yuan 42 33 0 05 Dec 2022
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems Clement Ruah Osvaldo Simeone Bashir M. Al-Hashimi 32 28 0 02 Dec 2022
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling Lei Shang Mou-Yue Huang Wuxuan Shi Yuchen Liu Yang Liu Fei Wang Baigui Sun Xuansong Xie Yu Qiao UQCV 24 8 0 02 Dec 2022
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics S. Mohammadzadeh Peerasait Prachaseree Emma Lejeune AI4CE 34 2 0 01 Dec 2022
A Unifying Theory of Distance from Calibration Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 31 33 0 30 Nov 2022
Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications N. Ranasinghe A. Ramanan S. Fernando P. N. Hameed D. Herath T. Malepathirana P. Suganthan M. Niranjan Saman K. Halgamuge 13 2 0 30 Nov 2022
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration Lei Hsiung Yu Tang Pin-Yu Chen Tsung-Yi Ho 19 2 0 29 Nov 2022
Out-Of-Distribution Detection Is Not All You Need Joris Guérin Kevin Delmas Raul Sena Ferreira Jérémie Guiochet OODD 34 32 0 29 Nov 2022
Hiding speaker's sex in speech using zero-evidence speaker representation in an analysis/synthesis pipeline Paul-Gauthier Noé Xiaoxiao Miao Xin Wang Junichi Yamagishi J. Bonastre D. Matrouf 21 7 0 29 Nov 2022
On Robust Learning from Noisy Labels: A Permutation Layer Approach Salman Alsubaihi Mohammed Alkhrashi Raied Aljadaany Fahad Albalawi Guohao Li NoLa 23 0 0 29 Nov 2022
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification Paul F. Jaeger Carsten T. Lüth Lukas Klein Till J. Bungert UQCV 30 35 0 28 Nov 2022
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network Iordanis Fostiropoulos Laurent Itti 45 1 0 26 Nov 2022
Efficient Feature Extraction for High-resolution Video Frame Interpolation M. Nottebaum Stefan Roth Simone Schaub-Meyer 33 5 0 25 Nov 2022
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? Pei Zhang Baosong Yang Hao-Ran Wei Dayiheng Liu Kai Fan Luo Si Jun Xie 23 3 0 25 Nov 2022
Towards Practical Control of Singular Values of Convolutional Layers Alexandra Senderovich Ekaterina Bulatova Anton Obukhov M. Rakhuba AAML 19 9 0 24 Nov 2022
AdaFocal: Calibration-aware Adaptive Focal Loss Arindam Ghosh Thomas Schaaf Matthew R. Gormley FedML UQCV 34 25 0 21 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N. Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 33 10 0 21 Nov 2022
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation Hyungmin Kim Sungho Suh Sunghyun Baek Daehwan Kim Daun Jeong Hansang Cho Junmo Kim 30 5 0 20 Nov 2022
Layer-Stack Temperature Scaling Amr Khalifa Michael C. Mozer Hanie Sedghi Behnam Neyshabur Ibrahim M. Alabdulmohsin 81 2 0 18 Nov 2022
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks Tommaso Salvatori Yuhang Song Yordan Yordanov Beren Millidge Zheng R. Xu Lei Sha Cornelius Emde Rafal Bogacz Thomas Lukasiewicz 36 10 0 16 Nov 2022
What Images are More Memorable to Machines? Junlin Han Huangying Zhan Jie Hong Pengfei Fang Hongdong Li L. Petersson Ian Reid 38 3 0 14 Nov 2022
Calibrated Interpretation: Confidence Estimation in Semantic Parsing Elias Stengel-Eskin Benjamin Van Durme UQLM 41 24 0 14 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 45 9 0 14 Nov 2022
TIER-A: Denoising Learning Framework for Information Extraction Yongkang Li M. Zhang 21 0 0 13 Nov 2022
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression Levente Foldesi Matias Valdenegro-Toro UQCV 33 3 0 11 Nov 2022
Soft Augmentation for Image Classification Yang Liu Shen Yan Laura Leal-Taixé James Hays Deva Ramanan 36 11 0 09 Nov 2022
Cold Start Streaming Learning for Deep Networks Cameron R. Wolfe Anastasios Kyrillidis CLL 23 2 0 09 Nov 2022
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty J. Bertels D. Robben Dirk Vandermeulen P. Suetens 30 19 0 08 Nov 2022
Uncertainty Quantification for Atlas-Level Cell Type Transfer J. Engelmann Leon Hetzel Giovanni Palla L. Sikkema Malte D. Luecken Fabian J. Theis 27 3 0 07 Nov 2022
Contrastive Classification and Representation Learning with Probabilistic Interpretation Rahaf Aljundi Yash J. Patel Milan Šulc Daniel Olmeda N. Chumerin SSL 31 5 0 07 Nov 2022