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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
Dynamic Model Selection for Trajectory Prediction via Pairwise Ranking and Meta-Features Lu Bowen 152 0 0 31 Oct 2025
HyperClick: Advancing Reliable GUI Grounding via Uncertainty Calibration Shaojie Zhang Pei Fu Ruoceng Zhang Jiahui Yang Anan Du ... S. Wang Ying Huang Bin Qin Zhenbo Luo Jian Luan 80 0 0 31 Oct 2025
A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models Shihab Aaqil Ahamed Udaya S.K.P. Miriya Thanthrige Ranga Rodrigo Muhammad Haris Khan VLM 150 0 0 30 Oct 2025
Multiclass Local Calibration With the Jensen-Shannon Distance Cesare Barbera Lorenzo Perini Giovanni De Toni Andrea Passerini Andrea Pugnana UQCV 251 0 0 30 Oct 2025
ResMatching: Noise-Resilient Computational Super-Resolution via Guided Conditional Flow Matching Anirban Ray Vera Galinova Florian Jug OOD 104 0 0 30 Oct 2025
CausalGuard: A Smart System for Detecting and Preventing False Information in Large Language Models Piyushkumar Patel HILM LRM 41 0 0 30 Oct 2025
Prototype-Driven Adaptation for Few-Shot Object Detection Yushen Huang Zhiming Wang ObjD 76 0 0 29 Oct 2025
Scalable Utility-Aware Multiclass Calibration Mahmoud Hegazy Michael I. Jordan Aymeric Dieuleveut 44 0 0 29 Oct 2025
Adaptive EEG-based stroke diagnosis with a GRU-TCN classifier and deep Q-learning thresholding Shakeel Abdulkareem Bora Yimenicioglu Khartik Uppalapati Aneesh Gudipati Adan Eftekhari Saleh Yassin 147 0 0 28 Oct 2025
Machine Learning based Analysis for Radiomics Features Robustness in Real-World Deployment Scenarios Sarmad Ahmad Khan Simon Bernatz Zahra Moslehi Florian Buettner OOD 186 0 0 28 Oct 2025
HACK: Hallucinations Along Certainty and Knowledge Axes Adi Simhi Jonathan Herzig Itay Itzhak Dana Arad Zorik Gekhman Roi Reichart Fazl Barez Gabriel Stanovsky Idan Szpektor Yonatan Belinkov 84 0 0 28 Oct 2025
Robust Decision Making with Partially Calibrated Forecasts Shayan Kiyani Hamed Hassani George Pappas Aaron Roth 108 0 0 27 Oct 2025
MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding Xin Jin Siyuan Li Siyong Jian Kai Yu Huan Wang 76 0 0 27 Oct 2025
BrowseConf: Confidence-Guided Test-Time Scaling for Web Agents Litu Ou Kuan Li Huifeng Yin L. Zhang Zhongwang Zhang ... Rui Ye Zile Qiao Pengjun Xie Jingren Zhou Yong Jiang LLMAG 123 0 0 27 Oct 2025
Rethinking Inference Placement for Deep Learning across Edge and Cloud Platforms: A Multi-Objective Optimization Perspective and Future Directions Zongshun Zhang I. Matta 104 0 0 27 Oct 2025
Multi-Modal Fact-Verification Framework for Reducing Hallucinations in Large Language Models Piyushkumar Patel HILM 128 0 0 26 Oct 2025
Uncertainty-Aware Autonomous Vehicles: Predicting the Road Ahead Shireen Kudukkil Manchingal Armand Amaritei Mihir Gohad Maryam Sultana Julian F. P. Kooij Fabio Cuzzolin Andrew Bradley UQCV EDL 246 0 0 26 Oct 2025
The Limits of Data Scaling: Sub-token Utilization and Acoustic Saturation in Multilingual ASR Siyu Liang Nicolas Ballier Gina-Anne Levow Richard Wright 44 0 0 26 Oct 2025
String Seed of Thought: Prompting LLMs for Distribution-Faithful and Diverse Generation Kou Misaki Takuya Akiba LRM 124 0 0 24 Oct 2025
Adaptive Data Selection for Multi-Layer Perceptron Training: A Sub-linear Value-Driven Method Xiyang Zhang Chen Liang Haoxuan Qiu Hongzhi Wang 88 0 0 24 Oct 2025
K-DAREK: Distance Aware Error for Kurkova Kolmogorov Networks Masoud Ataei Vikas Dhiman M. J. Khojasteh 120 0 0 24 Oct 2025
On Uncertainty Calibration for Equivariant Functions Edward Berman Jacob Ginesin Marco Pacini Robin Walters 190 0 0 24 Oct 2025
Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design Lianghong Chen Dongkyu Eugene Kim Mike Domaratzki Pingzhao Hu AI4CE 90 1 0 24 Oct 2025
Input Adaptive Bayesian Model Averaging Yuli Slavutsky Sebastian Salazar David Blei 69 0 0 24 Oct 2025
Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models Christian Hobelsberger Theresa Winner Andreas Nawroth Oliver Mitevski Anna-Carolina Haensch ELM 88 0 0 23 Oct 2025
Bayesian Inference of Primordial Magnetic Field Parameters from CMB with Spherical Graph Neural Networks Juan Alejandro Pinto Castro Héctor J. Hortúa J. E. García-Farieta Roger Anderson Hurtado 60 0 0 23 Oct 2025
What Does It Take to Build a Performant Selective Classifier? Stephan Rabanser Nicolas Papernot 162 0 0 23 Oct 2025
Federated Learning via Meta-Variational DropoutNeural Information Processing Systems (NeurIPS), 2025 Insu Jeon Minui Hong Junhyeog Yun Gunhee Kim FedML 199 10 0 23 Oct 2025
Calibration and Discrimination Optimization Using Clusters of Learned Representation Tomer Lavi Bracha Shapira Nadav Rappoport 56 0 0 22 Oct 2025
Uncertainty evaluation of segmentation models for Earth observation Melanie Rey Andriy Mnih Maxim Neumann Matt Overlan Drew Purves UQCV 148 0 0 22 Oct 2025
Knowledge Distillation of Uncertainty using Deep Latent Factor Model Sehyun Park Jongjin Lee Yunseop Shin Ilsang Ohn Yongdai Kim UQCV BDL 325 0 0 22 Oct 2025
Context-aware Fairness Evaluation and Mitigation in LLMs Afrozah Nadeem Mark Dras Usman Naseem 60 0 0 21 Oct 2025
Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers Firas Gabetni Giuseppe Curci Andrea Pilzer Subhankar Roy Elisa Ricci Gianni Franchi 76 0 0 21 Oct 2025
Uncertainty Estimation by Flexible Evidential Deep Learning Taeseong Yoon Heeyoung Kim OODD UQCV BDL EDL 188 0 0 21 Oct 2025
Functional Distribution Networks (FDN) Omer Haq UQCV 134 0 0 20 Oct 2025
Benchmarking Out-of-Distribution Detection for Plankton Recognition: A Systematic Evaluation of Advanced Methods in Marine Ecological Monitoring Yingzi Han Jiakai He Chuanlong Xie Jianping Li OODD 113 0 0 20 Oct 2025
Evaluating Medical LLMs by Levels of Autonomy: A Survey Moving from Benchmarks to Applications Xiao Ye Jacob Dineen Zhaonan Li Zhikun Xu Weiyu Chen ... Ji-Eun Irene Yum Muhammad Ali Khan Muhammad Umar Afzal Irbaz B. Riaz Ben Zhou LM&MA ELM 134 1 0 20 Oct 2025
Reliable Inference in Edge-Cloud Model Cascades via Conformal Alignment Jiayi Huang Sangwoo Park Nicola Paoletti Osvaldo Simeone 150 0 0 20 Oct 2025
MIRAGE: Agentic Framework for Multimodal Misinformation Detection with Web-Grounded Reasoning Mir Nafis Sharear Shopnil Sharad Duwal Abhishek Tyagi Adiba Mahbub Proma 89 0 0 20 Oct 2025
Can Transformer Memory Be Corrupted? Investigating Cache-Side Vulnerabilities in Large Language Models Elias Hossain Swayamjit Saha Somshubhra Roy Ravi Prasad 82 2 0 20 Oct 2025
Enabling Fine-Grained Operating Points for Black-Box LLMs Ege Beyazit KL Navaneet Prashant Mathur Roi Blanco Vidit Bansal Karim Bouyarmane 175 0 0 20 Oct 2025
Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging Tiancheng Hu Benjamin Minixhofer Nigel Collier MoMe 418 1 0 20 Oct 2025
Annotation-Efficient Universal Honesty Alignment Shiyu Ni Keping Bi Jiafeng Guo Minghao Tang Jingtong Wu Zengxin Han Xueqi Cheng HILM 104 0 0 20 Oct 2025
LLM-as-a-Prophet: Understanding Predictive Intelligence with Prophet Arena Qingchuan Yang Simon Mahns Sida Li Anri Gu Jibang Wu Haifeng Xu AI4TS 92 0 0 20 Oct 2025
Nearest-Class Mean and Logits Agreement for Wildlife Open-Set Recognition Jiahao Huo Mufhumudzi Muthivhi Terence L van Zyl Fredrik Gustafsson 81 0 0 20 Oct 2025
Renaissance of RNNs in Streaming Clinical Time Series: Compact Recurrence Remains Competitive with Transformers Ran Tong Jiaqi Liu Su Liu Xin Hu Lanruo Wang AI4TS 48 5 0 19 Oct 2025
From Flows to Words: Can Zero-/Few-Shot LLMs Detect Network Intrusions? A Grammar-Constrained, Calibrated Evaluation on UNSW-NB15 M. Rehman Syed Imad Ali Shah Abbas n=Anwar Noor Islam 100 0 0 18 Oct 2025
EdgeSync: Accelerating Edge-Model Updates for Data Drift through Adaptive Continuous Learning Runchu Donga Peng Zhao Guiqin Wang Nan Qi Jie Lin 64 0 0 18 Oct 2025
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