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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"

50 / 3,741 papers shown

Title
CarBoN: Calibrated Best-of-N Sampling Improves Test-time Reasoning Yung-Chen Tang Pin-Yu Chen Andrea Cavallaro LRM 61 0 0 17 Oct 2025
Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated? Coen Adler Yuxin Chang Felix Draxler Samar Abdi Padhraic Smyth AI4TS 72 0 0 17 Oct 2025
Fast and Scalable Score-Based Kernel Calibration TestsConference on Uncertainty in Artificial Intelligence (UAI), 2025 Pierre Glaser David Widmann Fredrik Lindsten Arthur Gretton 97 2 0 16 Oct 2025
Reinforcement Learning for Unsupervised Domain Adaptation in Spatio-Temporal Echocardiography Segmentation Arnaud Judge Nicolas Duchateau Thierry Judge Roman A. Sandler Joseph Z. Sokol Christian Desrosiers Olivier Bernard Pierre-Marc Jodoin OOD 79 0 0 16 Oct 2025
Stable but Miscalibrated: A Kantian View on Overconfidence from Filters to Large Language Models Akira Okutomi LRM 107 0 0 16 Oct 2025
$L_2$ -Regularized Empirical Risk Minimization Guarantees Small Smooth Calibration Error Masahiro Fujisawa Futoshi Futami 66 0 0 15 Oct 2025
Robust or Suggestible? Exploring Non-Clinical Induction in LLM Drug-Safety Decisions Siying Liu Shisheng Zhang Indu Bala 60 0 0 15 Oct 2025
Self-Augmented Visual Contrastive Decoding Eun Woo Im M. K. Ali Vivek Gupta 105 0 0 15 Oct 2025
Federated Conditional Conformal Prediction via Generative Models Rui Xu Sihong Xie Wenxing Huang Minxuan Huang Yun Xie W. Chen Sihong Xie FedML 146 0 0 15 Oct 2025
Towards Adversarial Robustness and Uncertainty Quantification in DINOv2-based Few-Shot Anomaly Detection Akib Mohammed Khan Bartosz Krawczyk AAML 68 0 0 15 Oct 2025
UNCAP: Uncertainty-Guided Planning Using Natural Language Communication for Cooperative Autonomous Vehicles N. Bhatt Po-han Li Kushagra Gupta Rohan Siva Daniel Milan Alexander T. Hogue Sandeep Chinchali David Fridovich-Keil Zinan Lin Ufuk Topcu 80 1 0 14 Oct 2025
A Function Centric Perspective On Flat and Sharp Minima Israel Mason-Williams Gabryel Mason-Williams Helen Yannakoudakis 100 0 0 14 Oct 2025
Sample-Efficient Omniprediction for Proper Losses Isaac Gibbs Ryan J. Tibshirani 84 0 0 14 Oct 2025
Uncertainty Quantification for Hallucination Detection in Large Language Models: Foundations, Methodology, and Future Directions Sungmin Kang Yavuz Faruk Bakman D. Yaldiz Baturalp Buyukates Salman Avestimehr HILM 162 3 0 14 Oct 2025
Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering Jian Lan Zhicheng Liu Udo Schlegel Raoyuan Zhao Yihong Liu Hinrich Schütze Michael A. Hedderich Thomas Seidl VLM 95 0 0 13 Oct 2025
ADVICE: Answer-Dependent Verbalized Confidence Estimation Ki Jung Seo Sehun Lim Taeuk Kim 20 0 0 13 Oct 2025
Efficient Edge Test-Time Adaptation via Latent Feature Coordinate Correction Xinyu Luo Jie Liu Kecheng Chen Junyi Yang Bo Ding Arindam Basu Haoliang Li 65 0 0 13 Oct 2025
Bayesian Topological Convolutional Neural Nets Sarah Harkins Dayton Hayden Everett Ioannis Schizas David L. Boothe Jr. Vasileios Maroulas BDL UQCV 145 0 0 13 Oct 2025
Beyond Consensus: Mitigating the Agreeableness Bias in LLM Judge Evaluations Suryaansh Jain Umair Z. Ahmed Shubham Sahai Ben Leong 40 1 0 13 Oct 2025
Reverse Supervision at Scale: Exponential Search Meets the Economics of Annotation Masoud Makrehchi OffRL 56 0 0 12 Oct 2025
A Machine Learning Perspective on Automated Driving Corner Cases Sebastian Schmidt Julius Körner Stephan Günnemann 136 0 0 12 Oct 2025
FOSSIL: Regret-Minimizing Curriculum Learning for Metadata-Free and Low-Data Mpox Diagnosis Sahng-Min Han Minjae Kim Jinho Cha Se-woon Choe Eunchan Daniel Cha Jungwon Choi Kyudong Jung MedIm 84 0 0 11 Oct 2025
Lightweight Baselines for Medical Abstract Classification: DistilBERT with Cross-Entropy as a Strong Default Jiaqi Liu Tong Wang Su Liu Xin Hu Ran Tong Lanruo Wang Jiexi Xu 160 3 0 11 Oct 2025
Failure Prediction at Runtime for Generative Robot Policies Ralf Romer Adrian Kobras Luca Worbis Angela P. Schoellig AI4CE 132 1 0 10 Oct 2025
Bi-level Meta-Policy Control for Dynamic Uncertainty Calibration in Evidential Deep Learning Zhen Yang Yansong Ma Lei Chen 80 0 0 10 Oct 2025
D-TPT: Dimensional Entropy Maximization for Calibrating Test-Time Prompt Tuning in Vision-Language Models Jisu Han Wonjun Hwang VLM 134 0 0 10 Oct 2025
Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers Yongqi Ding Lin Zuo Mengmeng Jing Kunshan Yang Pei He Tonglan Xie 90 0 0 09 Oct 2025
Auto-Prompt Ensemble for LLM Judge Jiajie Li Huayi Zhang Peng Lin Jinjun Xiong Wei Xu ELM 56 0 0 08 Oct 2025
Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs Hanieh Shojaei Miandashti C. Brenner UQCV 172 0 0 08 Oct 2025
Sample Smart, Not Hard: Correctness-First Decoding for Better Reasoning in LLMs Xueyan Li Guinan Su Mrinmaya Sachan Jonas Geiping LRM 57 0 0 07 Oct 2025
Downsized and Compromised?: Assessing the Faithfulness of Model Compression Moumita Kamal Douglas A. Talbert 88 0 0 07 Oct 2025
Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection I. M. De la Jara C. Rodriguez-Opazo D. Teney D. Ranasinghe E. Abbasnejad OODD 275 0 0 07 Oct 2025
Valid Stopping for LLM Generation via Empirical Dynamic Formal Lift Sanjeda Akter Ibne Farabi Shihab Anuj Sharma 96 0 0 07 Oct 2025
Making and Evaluating Calibrated Forecasts Yuxuan Lu Y. Wu Jason D. Hartline Lunjia Hu 90 1 0 07 Oct 2025
What You Don't Know Can Hurt You: How Well do Latent Safety Filters Understand Partially Observable Safety Constraints? Matthew Kim Kensuke Nakamura Andrea V. Bajcsy 73 0 0 07 Oct 2025
Fine-grained auxiliary learning for real-world product recommendation Mario Almagro Diego Ortego David Jiménez 76 0 0 06 Oct 2025
Latent Uncertainty Representations for Video-based Driver Action and Intention Recognition Koen Vellenga H. Steinhauer Jonas Andersson Anders Sjögren 99 0 0 06 Oct 2025
Rethinking Consistent Multi-Label Classification under Inexact Supervision Wei Wang Tianhao Ma Ming-Kun Xie Gang Niu Masashi Sugiyama 104 0 0 05 Oct 2025
What Scales in Cross-Entropy Scaling Law? Junxi Yan Zixi Wei Jingtao Zhan Qingyao Ai Yiqun Liu ELM LRM 100 0 0 05 Oct 2025
Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Behraj Khan T. Syed 92 0 0 04 Oct 2025
Confidence and Dispersity as Signals: Unsupervised Model Evaluation and Ranking Weijian Deng Weijie Tu Ibrahim Radwan Mohammad Abu Alsheikh Stephen Gould Liang Zheng 100 0 0 03 Oct 2025
VisitHGNN: Heterogeneous Graph Neural Networks for Modeling Point-of-Interest Visit Patterns Lin Pang Jidong J. Yang AI4TS 80 0 0 03 Oct 2025
Calibrated Uncertainty Sampling for Active Learning H. Bui Iliana Maifeld-Carucci Anqi Liu 80 0 0 03 Oct 2025
Efficient Test-Time Scaling for Small Vision-Language Models Mehmet Onurcan Kaya Desmond Elliott Dim P. Papadopoulos VLM 126 2 0 03 Oct 2025
Beyond the Final Layer: Intermediate Representations for Better Multilingual Calibration in Large Language Models Ej Zhou Caiqi Zhang Tiancheng Hu Chengzu Li Nigel Collier Ivan Vulić Anna Korhonen 108 2 0 03 Oct 2025
Fusing Multi- and Hyperspectral Satellite Data for Harmful Algal Bloom Monitoring with Self-Supervised and Hierarchical Deep Learning Nicholas LaHaye Kelly M. Luis Michelle M. Gierach 80 0 0 03 Oct 2025
PENEX: AdaBoost-Inspired Neural Network Regularization Klaus-Rudolf Kladny Bernhard Schölkopf Michael Muehlebach ODL 255 0 0 02 Oct 2025
Calibrating the Full Predictive Class Distribution of 3D Object Detectors for Autonomous Driving Cornelius Schröder Marius-Raphael Schlüter Markus Lienkamp 104 0 0 02 Oct 2025
Can LLMs Refuse Questions They Do Not Know? Measuring Knowledge-Aware Refusal in Factual Tasks Wenbo Pan Jie Xu Qiguang Chen Junhao Dong Libo Qin Xinfeng Li Haining Yu Xiaohua Jia 52 1 0 02 Oct 2025
Private Federated Multiclass Post-hoc Calibration Samuel Maddock Graham Cormode Carsten Maple FedML 109 0 0 02 Oct 2025