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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
BayesDLL: Bayesian Deep Learning Library Minyoung Kim Timothy M. Hospedales BDL 119 2 0 22 Sep 2023
Confidence Calibration for Systems with Cascaded Predictive Modules Yunye Gong Yi Yao Xiao Lin Ajay Divakaran Melinda Gervasio 199 1 0 21 Sep 2023
Smooth ECE: Principled Reliability Diagrams via Kernel SmoothingInternational Conference on Learning Representations (ICLR), 2023 Jarosław Błasiok Preetum Nakkiran UQCV 271 43 0 21 Sep 2023
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What Learned Representations and Influence Functions Can Tell Us About Adversarial ExamplesInternational Joint Conference on Natural Language Processing (IJCNLP), 2023 Shakila Mahjabin Tonni Mark Dras TDI AAML GAN 388 0 0 19 Sep 2023
Uncertainty Estimation in Instance Segmentation with Star-convex ShapesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Qasim M. K. Siddiqui Sebastian Starke Peter Steinbach UQCV 159 2 0 19 Sep 2023
Improving CLIP Robustness with Knowledge Distillation and Self-Training Clement Laroudie Andrei Bursuc Mai Lan Ha Gianni Franchi VLM 181 6 0 19 Sep 2023
GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts Jiahao Yu Xingwei Lin Zheng Yu Xinyu Xing SILM 892 499 0 19 Sep 2023
Rethinking STS and NLI in Large Language ModelsFindings (Findings), 2023 Yuxia Wang Minghan Wang Preslav Nakov LRM 248 4 0 16 Sep 2023
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble ArchitectureBritish Machine Vision Conference (BMVC), 2023 S. Qutub Neslihan Kose Rafael Rosales Michael Paulitsch Korbinian Hagn Florian Geissler Yang Peng Gereon Hinz Alois C. Knoll 409 3 0 14 Sep 2023
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and CalibrationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 Rachneet Sachdeva Martin Tutek Iryna Gurevych OODD 286 16 0 14 Sep 2023
Masked Diffusion with Task-awareness for Procedure Planning in Instructional Videos Fen Fang Yun Liu Ali Koksal Qianli Xu Joo-Hwee Lim VGen DiffM 216 6 0 14 Sep 2023
RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language ModelsIEEE Real-Time Systems Symposium (RTSS), 2023 Yufei Li Zexin Li Wei Yang Cong Liu 222 18 0 12 Sep 2023
Rethinking Evaluation Metric for Probability Estimation Models Using Esports DataInternational Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2023 Euihyeon Choi Jooyoung Kim Wonkyung Lee 115 1 0 12 Sep 2023
Calibration in Machine Learning Uncertainty Quantification: beyond consistency to target adaptivityAPL Machine Learning (AML), 2023 Pascal Pernot 192 16 0 12 Sep 2023
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation Ling Huang S. Ruan P. Decazes Thierry Denoeux EDL MedIm 221 1 0 12 Sep 2023
Reducing the False Positive Rate Using Bayesian Inference in Autonomous Driving Perception Gledson Melotti Johann J. S. Bastos Bruno L. S. da Silva Tiago Zanotelli C. Premebida 145 0 0 09 Sep 2023
Beyond Traditional Teaching: The Potential of Large Language Models and Chatbots in Graduate Engineering Education M. Abedi Ibrahem Alshybani M. Shahadat M. Murillo 299 19 0 09 Sep 2023
Affine Invariant Ensemble Transform Methods to Improve Predictive Uncertainty in Neural NetworksFoundations of Data Science (FDS), 2023 Diksha Bhandari Jakiw Pidstrigach Sebastian Reich 250 1 0 09 Sep 2023
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-raysIEEE International Symposium on Biomedical Imaging (ISBI), 2023 Aroof Aimen Arsh Verma Makarand Tapaswi N. C. Krishnan 203 1 0 08 Sep 2023
Conformal Autoregressive Generation: Beam Search with Coverage GuaranteesAAAI Conference on Artificial Intelligence (AAAI), 2023 Nicolas Deutschmann Marvin Alberts María Rodríguez Martínez UQLM 218 18 0 07 Sep 2023
Deep Learning Safety Concerns in Automated Driving PerceptionIEEE Transactions on Intelligent Vehicles (TIV), 2023 Stephanie Abrecht Alexander Hirsch Shervin Raafatnia Matthias Woehrle 292 20 0 07 Sep 2023
Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware CalibrationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Johannes Gilg Torben Teepe Fabian Herzog Philipp Wolters Gerhard Rigoll 204 2 0 06 Sep 2023
Generalised Mutual Information: a Framework for Discriminative Clustering Louis Ohl Pierre-Alexandre Mattei C. Bouveyron Warith Harchaoui Mickael Leclercq Arnaud Droit F. Precioso 140 3 0 06 Sep 2023
Multiclass Alignment of Confidence and Certainty for Network Calibration Vinith Kugathasan M. H. Khan UQCV 128 1 0 06 Sep 2023
Towards User Guided Actionable RecourseAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023 Jayanth Yetukuri Ian Hardy Yang Liu 174 4 0 05 Sep 2023
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty QuantificationJournal of Reliable Intelligent Environments (JRIE), 2023 Jacopo Talpini Fabio Sartori Marco Savi 265 11 0 05 Sep 2023
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsComputational Linguistics (CL), 2023 Yue Zhang Yafu Li Leyang Cui Deng Cai Lemao Liu ... Longyue Wang Anh Tuan Luu Freda Shi Shuming Shi Shuming Shi LRM RALM HILM 674 802 0 03 Sep 2023
Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems Sydney Pugh I. Ruchkin Insup Lee James Weimer AAML OOD 158 0 0 01 Sep 2023
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection Pedro Conde Rui L. Lopes C. Premebida UQCV 257 2 0 01 Sep 2023
Quantifying Uncertainty in Answers from any Language Model and Enhancing their TrustworthinessAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Jiuhai Chen Jonas W. Mueller 333 105 0 30 Aug 2023
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images Tareen Dawood Chen Chen B. Sidhu B. Ruijsink J. Gould ... Vishal S. Mehta C. Rinaldi Esther Puyol-Antón Reza Razavi A. King OOD 211 15 0 29 Aug 2023
Uncovering the Hidden Cost of Model Compression Diganta Misra Muawiz Chaudhary Agam Goyal Bharat Runwal Pin-Yu Chen VLM 289 3 0 29 Aug 2023
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NERInternational Conference on Information and Knowledge Management (CIKM), 2023 Guanting Dong Zechen Wang Jinxu Zhao Gang Zhao Daichi Guo ... Keqing He Xuefeng Li Liwen Wang Xinyue Cui Weiran Xu 199 23 0 28 Aug 2023
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection?IEEE Conference on Communications and Network Security (CNS), 2023 Andrea Corsini S. Yang OODD AAML 98 11 0 28 Aug 2023
Distributionally Robust Statistical Verification with Imprecise Neural NetworksInternational Conference on Hybrid Systems: Computation and Control (HSCC), 2023 Souradeep Dutta Michele Caprio Vivian Lin Matthew Cleaveland Kuk Jin Jang I. Ruchkin O. Sokolsky Insup Lee OOD AAML 741 15 0 28 Aug 2023
Bayesian Low-rank Adaptation for Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023 Adam X. Yang Maxime Robeyns Xi Wang Laurence Aitchison AI4CE BDL 695 82 0 24 Aug 2023
MapPrior: Bird's-Eye View Map Layout Estimation with Generative ModelsIEEE International Conference on Computer Vision (ICCV), 2023 Xiyue Zhu Vlas Zyrianov Zhijian Liu Shenlong Wang 175 17 0 24 Aug 2023
Beyond Document Page Classification: Design, Datasets, and ChallengesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Jordy Van Landeghem Sanket Biswas Matthew B. Blaschko Marie-Francine Moens 205 9 0 24 Aug 2023
Towards Automated Animal Density Estimation with Acoustic Spatial Capture-Recapture Yuheng Wang Juan Ye D. Borchers 81 1 0 24 Aug 2023
How Safe Am I Given What I See? Calibrated Prediction of Safety Chances for Image-Controlled AutonomyConference on Learning for Dynamics & Control (L4DC), 2023 Zhenjiang Mao Carson Sobolewski I. Ruchkin 333 11 0 23 Aug 2023
RankMixup: Ranking-Based Mixup Training for Network CalibrationIEEE International Conference on Computer Vision (ICCV), 2023 Jongyoun Noh Hyekang Park Junghyup Lee Bumsub Ham UQCV 198 18 0 23 Aug 2023
Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification Benjamin Lambert P. Roca Florence Forbes Senan Doyle M. Dojat 118 7 0 23 Aug 2023
ACLS: Adaptive and Conditional Label Smoothing for Network CalibrationIEEE International Conference on Computer Vision (ICCV), 2023 Hyekang Park Jongyoun Noh Youngmin Oh Donghyeon Baek Bumsub Ham UQCV 182 21 0 23 Aug 2023
A Benchmark Study on CalibrationInternational Conference on Learning Representations (ICLR), 2023 Linwei Tao Younan Zhu Haolan Guo Minjing Dong Chang Xu 548 8 0 23 Aug 2023
Calorimeter shower superresolution Ian Pang C. Pollard David Shih DiffM 181 11 0 22 Aug 2023
Exemplar-Free Continual Transformer with ConvolutionsIEEE International Conference on Computer Vision (ICCV), 2023 Anurag Roy Vinay Kumar Verma Sravan Voonna Kripabandhu Ghosh Saptarshi Ghosh Abir Das CLL BDL 126 13 0 22 Aug 2023
Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices Elizaveta Kostenok D. Cherniavskii Alexey Zaytsev 215 9 0 22 Aug 2023
centroIDA: Cross-Domain Class Discrepancy Minimization Based on Accumulative Class-Centroids for Imbalanced Domain Adaptation Xiaona Sun Zhenyu Wu Yichen Liu Saier Hu Zhiqiang Zhan Yang Ji 212 1 0 21 Aug 2023
Overcoming Overconfidence for Active LearningIEEE Access (IEEE Access), 2023 Yujin Hwang Won Jo Juyoung Hong Yukyung Choi 153 3 0 21 Aug 2023

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On Calibration of Modern Neural Networks

Papers citing "On Calibration of Modern Neural Networks"