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On Calibration of Modern Neural Networks

International Conference on Machine Learning (ICML), 2017

14 June 2017

Papers citing "On Calibration of Modern Neural Networks"

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Title
Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration Kotaro Yoshida Hiroki Naganuma 327 3 0 31 Jan 2024
Explaining Predictive Uncertainty by Exposing Second-Order Effects Florian Bley Sebastian Lapuschkin Wojciech Samek G. Montavon 214 4 0 30 Jan 2024
Forecasting VIX using Bayesian Deep Learning Héctor J. Hortúa Andrés Mora-Valencia BDL OOD 239 8 0 30 Jan 2024
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data Angus Dempster Geoffrey I. Webb Daniel F. Schmidt 193 0 0 28 Jan 2024
Bayesian Inference Accelerator for Spiking Neural NetworksInternational Symposium on Circuits and Systems (ISCAS), 2024 Prabodh Katti Anagha Nimbekar Chen Li Amit Acharyya Bashir M. Al-Hashimi Bipin Rajendran TPM 135 3 0 27 Jan 2024
SimpleEgo: Predicting Probabilistic Body Pose from Egocentric CamerasInternational Conference on 3D Vision (3DV), 2024 Hanz Cuevas-Velasquez Charlie Hewitt S. Aliakbarian Tadas Baltruvsaitis 199 11 0 26 Jan 2024
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain AdaptationAsian Conference on Computer Vision (ACCV), 2024 Hyeonwoo Cho Chanmin Park Donghee Kim Jinyoung Kim Won Hwa Kim TTA 397 0 0 26 Jan 2024
Revisiting Active Learning in the Era of Vision Foundation Models S. Gupte Josiah Aklilu Jeffrey Nirschl Serena Yeung-Levy VLM 188 11 0 25 Jan 2024
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints Balamurali Murugesan Sukesh Adiga Vasudeva Bingyuan Liu H. Lombaert Ismail Ben Ayed Jose Dolz UQCV 286 8 0 25 Jan 2024
Conformal Prediction Sets Improve Human Decision MakingInternational Conference on Machine Learning (ICML), 2024 Jesse C. Cresswell Yi Sui Bhargava Kumar Noël Vouitsis 410 29 0 24 Jan 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?Neural Information Processing Systems (NeurIPS), 2024 Sonia Laguna Ricards Marcinkevics Moritz Vandenhirtz Julia E. Vogt 301 27 0 24 Jan 2024
NACHOS: Neural Architecture Search for Hardware Constrained Early Exit Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Matteo Gambella Jary Pomponi Simone Scardapane Manuel Roveri 311 5 0 24 Jan 2024
Benchmarking LLMs via Uncertainty QuantificationNeural Information Processing Systems (NeurIPS), 2024 Fanghua Ye Mingming Yang Jianhui Pang Longyue Wang Derek F. Wong Emine Yilmaz Shuming Shi Zhaopeng Tu ELM 584 101 0 23 Jan 2024
MORPH: Towards Automated Concept Drift Adaptation for Malware Detection Md Tanvirul Alam Romy Fieblinger Ashim Mahara Nidhi Rastogi 112 8 0 23 Jan 2024
Enhancing In-context Learning via Linear Probe CalibrationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Momin Abbas Yi Zhou Parikshit Ram Nathalie Baracaldo Horst Samulowitz Theodoros Salonidis Tianyi Chen 220 17 0 22 Jan 2024
WARM: On the Benefits of Weight Averaged Reward ModelsInternational Conference on Machine Learning (ICML), 2024 Alexandre Ramé Nino Vieillard Léonard Hussenot Robert Dadashi Geoffrey Cideron Olivier Bachem Johan Ferret 336 130 0 22 Jan 2024
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy Will LeVine Benjamin Pikus Jacob Phillips Berk Norman Fernando Amat Gil Sean Hendryx OODD 426 1 0 22 Jan 2024
Inter-Domain Mixup for Semi-Supervised Domain AdaptationPattern Recognition (Pattern Recogn.), 2023 Jichang Li Guanbin Li Yizhou Yu 213 25 0 21 Jan 2024
Confidence Preservation Property in Knowledge Distillation AbstractionsSGAI Conferences (SGAI), 2024 Dmitry Vengertsev Elena Sherman 196 1 0 21 Jan 2024
Interactive Mars Image Content-Based Search with Interpretable Machine Learning Bhavan Kumar Vasu Steven Lu Emily Dunkel K. Wagstaff Kevin Grimes Michael McAuley 102 0 0 19 Jan 2024
ContextMix: A context-aware data augmentation method for industrial visual inspection systems Hyungmin Kim Donghun Kim Pyunghwan Ahn Sungho Suh Hansang Cho Junmo Kim 197 5 0 18 Jan 2024
Learning Shortcuts: On the Misleading Promise of NLU in Language Models Geetanjali Bihani Julia Taylor Rayz 250 4 0 17 Jan 2024
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handlingMachine Vision and Applications (MVA), 2024 Jan Küchler Daniel Kröll S. Schoenen Andreas Witte UQCV 135 2 0 17 Jan 2024
Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online AdvertisingKnowledge Discovery and Data Mining (KDD), 2024 Shuai Yang Hao Yang Zhuang Zou Linhe Xu Shuo Yuan Yifan Zeng 313 5 0 17 Jan 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift Renchunzi Xie Ambroise Odonnat Vasilii Feofanov I. Redko Jianfeng Zhang Bo An UQCV 409 2 0 17 Jan 2024
Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image LabelingInternational Conference on Human Factors in Computing Systems (CHI), 2024 Dongping Zhang Angelos Chatzimparmpas Negar Kamali Jessica Hullman 507 12 0 16 Jan 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 331 9 0 16 Jan 2024
Estimating Model Performance Under Covariate Shift Without Labels Jakub Bialek W. Kuberski W. Kuberski Nikolaos Perrakis 312 5 0 16 Jan 2024
Decoupled Prototype Learning for Reliable Test-Time AdaptationIEEE transactions on multimedia (IEEE TMM), 2024 Guowei Wang Changxing Ding Wentao Tan Zhuliang Yu VLM 231 5 0 15 Jan 2024
Reliability and Interpretability in Science and Deep Learning Luigi Scorzato 218 16 0 14 Jan 2024
Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation Mauricio Rivera Jean-François Godbout Reihaneh Rabbany Kellin Pelrine HILM 91 17 0 13 Jan 2024
Dirichlet-Based Prediction Calibration for Learning with Noisy LabelsAAAI Conference on Artificial Intelligence (AAAI), 2024 Chen-Chen Zong Ye-Wen Wang Ming-Kun Xie Sheng-Jun Huang 187 10 0 13 Jan 2024
Few-Shot Detection of Machine-Generated Text using Style RepresentationsInternational Conference on Learning Representations (ICLR), 2024 Rafael Rivera Soto Kailin Koch Aleem Khan Barry Chen M. Bishop Nicholas Andrews DeLMO 171 40 0 12 Jan 2024
Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study Yufei Li Simin Chen Yanghong Guo Wei Yang Yue Dong Cong Liu UQCV 187 3 0 12 Jan 2024
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems Tianyu Cui Yanling Wang Chuanpu Fu Yong Xiao Sijia Li ... Junwu Xiong Xinyu Kong ZuJie Wen Ke Xu Qi Li 300 98 0 11 Jan 2024
Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making Shiye Cao Anqi Liu Chien-Ming Huang 130 22 0 11 Jan 2024
Decoupling Decision-Making in Fraud Prevention through Classifier Calibration for Business Logic ActionACM Symposium on Applied Computing (SAC), 2024 Emanuele Luzio M. Ponti Christian Ramirez Luis Argerich 138 1 0 10 Jan 2024
MISS: Multiclass Interpretable Scoring SystemsSDM (SDM), 2024 Michal K. Grzeszczyk Tomasz Trzciñski Arkadiusz Sitek 197 1 0 10 Jan 2024
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning Kuo Yang Duo Li Menghan Hu Guangtao Zhai Yunbo Wang Xiao-Ping Zhang 174 0 0 09 Jan 2024
Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics ModelsIEEE International Conference on Robotics and Automation (ICRA), 2024 A. LaGrassa Moonyoung Lee Oliver Kroemer 222 6 0 08 Jan 2024
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks Puja Trivedi Mark Heimann Rushil Anirudh Danai Koutra Jayaraman J. Thiagarajan UQCV 305 6 0 07 Jan 2024
TeLeS: Temporal Lexeme Similarity Score to Estimate Confidence in End-to-End ASR Nagarathna Ravi Thishyan Raj T Vipul Arora 159 8 0 06 Jan 2024
On the Stability of a non-hyperbolic nonlinear map with non-bounded set of non-isolated fixed points with applications to Machine Learning Roberta Hansen Matías Vera Lautaro Estienne Luciana Ferrer Pablo Piantanida 287 0 0 05 Jan 2024
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence Stephen Obadinma Xiaodan Zhu Hongyu Guo AAML 244 2 0 05 Jan 2024
aMUSEd: An Open MUSE Reproduction Suraj Patil William Berman Robin Rombach Patrick von Platen VLM 180 28 0 03 Jan 2024
Uncertainty Regularized Evidential RegressionAAAI Conference on Artificial Intelligence (AAAI), 2024 Kai Ye Tiejin Chen Hua Wei Chen Tang UQCV EDL 202 11 0 03 Jan 2024
SUDO: a framework for evaluating clinical artificial intelligence systems without ground-truth annotationsNature Communications (Nat. Commun.), 2024 Dani Kiyasseh Aaron Cohen Chengsheng Jiang Nicholas Altieri SyDa 202 14 0 02 Jan 2024
Deep autoregressive modeling for land use land cover C. Krapu Mark Borsuk Ryan Calder BDL 109 0 0 02 Jan 2024
Large Legal Fictions: Profiling Legal Hallucinations in Large Language ModelsJournal of Legal Analysis (JLA), 2024 Matthew Dahl Varun Magesh Mirac Suzgun Mark A. Lemley HILM AILaw 377 147 0 02 Jan 2024
Neural Networks Against (and For) Self-Training: Classification with Small Labeled and Large Unlabeled SetsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Payam Karisani 173 1 0 31 Dec 2023