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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
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)Neural Information Processing Systems (NeurIPS), 2024 Weijie Tu Weijian Deng Tom Gedeon UQCV VLM 185 48 0 12 Feb 2024
Understanding the Effects of Miscalibrated AI Confidence on User Trust, Reliance, and Decision Efficacy Jingshu Li Yitian Yang Renwen Zhang Q. Vera Liao Tianqi Song Zhengtao Xu Yi-Chieh Lee 351 2 0 12 Feb 2024
Predictive Churn with the Set of Good Models J. Watson-Daniels Flavio du Pin Calmon Alexander DÁmour Carol Xuan Long David C. Parkes Berk Ustun 285 11 0 12 Feb 2024
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Shanshan Xu Santosh T.Y.S.S O. Ichim Barbara Plank Matthias Grabmair 289 6 0 11 Feb 2024
LiRank: Industrial Large Scale Ranking Models at LinkedInKnowledge Discovery and Data Mining (KDD), 2024 Fedor Borisyuk Mingzhou Zhou Qingquan Song Sirou Zhu B. Tiwana ... Chen-Chen Jiang Haichao Wei Maneesh Varshney Amol Ghoting Souvik Ghosh 149 9 0 10 Feb 2024
Understanding the Effects of Iterative Prompting on TruthfulnessInternational Conference on Machine Learning (ICML), 2024 Satyapriya Krishna Chirag Agarwal Himabindu Lakkaraju HILM 196 18 0 09 Feb 2024
SAE: Single Architecture Ensemble Neural NetworksBritish Machine Vision Conference (BMVC), 2024 Martin Ferianc Hongxiang Fan Miguel R. D. Rodrigues UQCV 151 0 0 09 Feb 2024
Calibrating Long-form Generations from Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Yukun Huang Yixin Liu Raghuveer Thirukovalluru Arman Cohan Bhuwan Dhingra 177 22 0 09 Feb 2024
Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification QuestionsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2024 A. Testoni Raquel Fernández 154 18 0 09 Feb 2024
Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive DistillationIEEE International Symposium on Biomedical Imaging (ISBI), 2024 Yaxuan Song Jianan Fan Dongnan Liu Weidong Cai 169 3 0 09 Feb 2024
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery Mengya Xu Mobarakol Islam Long Bai Hongliang Ren 126 12 0 08 Feb 2024
NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning Yufeng Zhao Yoshihiro Sakai Naoya Inoue 250 7 0 08 Feb 2024
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss Zhenlong Liu Lei Feng Huiping Zhuang Xiaofeng Cao Jianguo Huang 280 3 0 08 Feb 2024
A Survey on Safe Multi-Modal Learning System Tianyi Zhao Liangliang Zhang Yao Ma Lu Cheng 463 21 0 08 Feb 2024
Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels Taehyeon Kim Donggyu Kim SeYoung Yun 116 1 0 08 Feb 2024
On Temperature Scaling and Conformal Prediction of Deep Classifiers Lahav Dabah Tom Tirer 333 9 0 08 Feb 2024
Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanes Will Lavanakul Jason J. Choi Koushil Sreenath Claire J. Tomlin 207 17 0 07 Feb 2024
Reconfidencing LLMs from the Grouping Loss Perspective Lihu Chen Alexandre Perez-Lebel Fabian M. Suchanek Gaël Varoquaux 525 16 0 07 Feb 2024
Open-Vocabulary Calibration for Fine-tuned CLIP Shuoyuan Wang Yongfeng Zhang Guoqing Wang Bob Zhang Kaiyang Zhou Jianguo Huang VLM 385 10 0 07 Feb 2024
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs He Zhao V. Kitsios Terry O'Kane Edwin V. Bonilla CML 325 2 0 06 Feb 2024
Cross Entropy versus Label Smoothing: A Neural Collapse Perspective Li Guo George Andriopoulos Zifan Zhao George Andriopoulos Shuyang Ling Keith Ross UQCV NoLa 309 16 0 06 Feb 2024
Online Feature Updates Improve Online (Generalized) Label Shift AdaptationNeural Information Processing Systems (NeurIPS), 2024 Ruihan Wu Siddhartha Datta Yi Su Dheeraj Baby Yu Wang Kilian Q. Weinberger 146 4 0 05 Feb 2024
Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Anthony Sicilia Hyunwoo J. Kim Khyathi Chandu Malihe Alikhani Jack Hessel 126 2 0 05 Feb 2024
eXplainable Bayesian Multi-Perspective Generative Retrieval EuiYul Song Philhoon Oh Sangryul Kim Hyunjung Shim BDL 197 0 0 04 Feb 2024
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection Chao Chen Zhihang Fu Kai-Chun Liu Ze Chen Mingyuan Tao Jieping Ye OODD 181 6 0 04 Feb 2024
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers Yatong Bai Mo Zhou Vishal M. Patel Somayeh Sojoudi AAML 327 16 0 03 Feb 2024
Calibration and Correctness of Language Models for Code Claudio Spiess David Gros Kunal Suresh Pai Michael Pradel Md Rafiqul Islam Rabin Amin Alipour Susmit Jha Prem Devanbu Toufique Ahmed 226 55 0 03 Feb 2024
Identification of Cognitive Decline from Spoken Language through Feature Selection and the Bag of Acoustic Words Model Marko Niemelä M. Bonsdorff S. Äyrämö T. Kärkkäinen 120 1 0 02 Feb 2024
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes Yingyi Chen Qinghua Tao F. Tonin Johan A. K. Suykens 217 1 0 02 Feb 2024
Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training Sota Kudo N. Ono Shigehiko Kanaya Ming Huang 144 3 0 02 Feb 2024
Sample, estimate, aggregate: A recipe for causal discovery foundation models Menghua Wu Yujia Bao Regina Barzilay Tommi Jaakkola CML 376 8 0 02 Feb 2024
An Information-Theoretic Approach to Analyze NLP Classification Tasks Luran Wang Mark Gales Vatsal Raina 204 2 0 01 Feb 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI Theodore Papamarkou Maria Skoularidou Konstantina Palla Laurence Aitchison Julyan Arbel ... David Rügamer Yee Whye Teh Max Welling Andrew Gordon Wilson Ruqi Zhang UQCV BDL 336 56 0 01 Feb 2024
Non-Exchangeable Conformal Language Generation with Nearest Neighbors Dennis Ulmer Chrysoula Zerva André F. T. Martins 345 16 0 01 Feb 2024
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection Shangbin Feng Herun Wan Ningnan Wang Zhaoxuan Tan Minnan Luo Yulia Tsvetkov AAML DeLMO 372 35 0 01 Feb 2024
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration Shangbin Feng Weijia Shi Yike Wang Wenxuan Ding Vidhisha Balachandran Yulia Tsvetkov 276 158 0 01 Feb 2024
Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration Kotaro Yoshida Hiroki Naganuma 307 3 0 31 Jan 2024
Explaining Predictive Uncertainty by Exposing Second-Order Effects Florian Bley Sebastian Lapuschkin Wojciech Samek G. Montavon 206 4 0 30 Jan 2024
Forecasting VIX using Bayesian Deep Learning Héctor J. Hortúa Andrés Mora-Valencia BDL OOD 223 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 185 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 131 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 183 9 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 381 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 172 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 278 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 362 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 289 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 287 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 552 99 0 23 Jan 2024
MORPH: Towards Automated Concept Drift Adaptation for Malware Detection Md Tanvirul Alam Romy Fieblinger Ashim Mahara Nidhi Rastogi 96 8 0 23 Jan 2024