v1v2 (latest)

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
A decoupled alignment kernel for peptide membrane permeability predictions Ali Amirahmadi Gökçe Geylan Leonardo De Maria Farzaneh Etminani Mattias Ohlsson Alessandro Tibo 198 0 0 26 Nov 2025
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Koffi Ismael Ouattara Ioannis Krontiris Theo Dimitrakos Dennis Eisermann Frank Kargl Frank Kargl 100 0 0 25 Nov 2025
Gated Uncertainty-Aware Runtime Dual Invariants for Neural Signal-Controlled Robotics Tasha Kim Oiwi Parker Jones 229 0 0 25 Nov 2025
RankOOD - Class Ranking-based Out-of-Distribution Detection Dishanika Denipitiyage Naveen Karunanayake Suranga Seneviratne Sanjay Chawla OODD 104 0 0 25 Nov 2025
Enhancing Multi-Label Thoracic Disease Diagnosis with Deep Ensemble-Based Uncertainty Quantification Yasiru Laksara Uthayasanker Thayasivam OOD 77 0 0 24 Nov 2025
Can LLMs Faithfully Explain Themselves in Low-Resource Languages? A Case Study on Emotion Detection in Persian Mobina Mehrazar Mohammad Amin Yousefi Parisa Abolfath Beygi Behnam Bahrak 20 0 0 24 Nov 2025
A Systematic Study of Compression Ordering for Large Language Models Shivansh Chhawri Rahul Mahadik Suparna Rooj MQ 56 0 0 23 Nov 2025
Using MLIR Transform to Design Sliced Convolution Algorithm Victor Ferrari M. Pereira Lucas Alvarenga Gustavo Leite Guido Araujo 51 0 0 22 Nov 2025
Patient-level Information Extraction by Consistent Integration of Textual and Tabular Evidence with Bayesian Networks Paloma Rabaey Adrick Tench Stefan Heytens Thomas Demeester 28 0 0 21 Nov 2025
Provably Minimum-Length Conformal Prediction Sets for Ordinal Classification Zijian Zhang Xinyu Chen Yuanjie Shi Liyuan Lillian Ma Z. Xu Yan Yan 61 0 0 20 Nov 2025
Correlation-Aware Feature Attribution Based Explainable AI Poushali Sengupta Yan Zhang Frank Eliassen Sabita Maharjan 28 0 0 20 Nov 2025
Robot Metacognition: Decision Making with Confidence for Tool Invention A. Meera Poppy Collis Polina Arbuzova Abian Torres Paul F Kinghorn Ricardo Sanz Pablo Lanillos 105 0 0 20 Nov 2025
MedBayes-Lite: Bayesian Uncertainty Quantification for Safe Clinical Decision Support Elias Hossain Md Mehedi Hasan Nipu Maleeha Sheikh R. Rana Subash Neupane Niloofar Yousefi 108 0 0 20 Nov 2025
INQUIRE-Search: A Framework for Interactive Discovery in Large-Scale Biodiversity Databases Edward Vendrow Julia Chae Rupa Kurinchi-Vendhan Isaac Eckert Jazlynn Hall ... Laura Pollock Lauren Schrack Scott Yanco Oisin Mac Aodha Sara Beery 83 0 0 19 Nov 2025
TSRE: Channel-Aware Typical Set Refinement for Out-of-Distribution Detection Weijun Gao Rundong He Jinyang Dong Yongshun Gong OODD 202 0 0 19 Nov 2025
Transparent Early ICU Mortality Prediction with Clinical Transformer and Per-Case Modality Attribution Alexander Bakumenko Janine Hoelscher Hudson Smith 56 0 0 19 Nov 2025
Boundary-Aware Adversarial Filtering for Reliable Diagnosis under Extreme Class Imbalance Yanxuan Yu Michael S. Hughes Julien Lee Jiacheng Zhou Andrew F. Laine 16 0 0 19 Nov 2025
Attention-Based Feature Online Conformal Prediction for Time Series Meiyi Zhu Caili Guo Chunyan Feng Osvaldo Simeone 52 0 0 19 Nov 2025
Knowledge Graphs as Structured Memory for Embedding Spaces: From Training Clusters to Explainable Inference A. A. Oliveira Mateus Espadoto Roberto Hirata Jr. Roberto Hirata Jr. 33 0 0 18 Nov 2025
BootOOD: Self-Supervised Out-of-Distribution Detection via Synthetic Sample Exposure under Neural Collapse Yuanchao Wang Tian Qin Eduardo Valle Bruno Abrahao OODD 153 0 0 17 Nov 2025
Edge-aware baselines for ogbn-proteins in PyTorch Geometric: species-wise normalization, post-hoc calibration, and cost-accuracy trade-offs Aleksandar Stanković Dejan Lisica 97 0 0 17 Nov 2025
Efficient Calibration for Decision Making Parikshit Gopalan Konstantinos Stavropoulos Kunal Talwar Pranay Tankala 100 0 0 17 Nov 2025
ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Boshu Lei Wen Jiang Kostas Daniilidis 92 0 0 16 Nov 2025
Calibrated Decomposition of Aleatoric and Epistemic Uncertainty in Deep Features for Inference-Time Adaptation Divake Kumar Patrick Poggi Sina Tayebati Devashri Naik Nilesh Ahuja A. R. Trivedi UD PER 140 0 0 15 Nov 2025
Bayesian--AI Fusion for Epidemiological Decision Making: Calibrated Risk, Honest Uncertainty, and Hyperparameter Intelligence Debashis Chatterjee 36 0 0 15 Nov 2025
On the Entropy Calibration of Language Models Steven Cao Gregory Valiant Percy Liang 56 0 0 15 Nov 2025
An Analysis of Architectural Impact on LLM-based Abstract Visual Reasoning: A Systematic Benchmark on RAVEN-FAIR Sinan Urgun Seçkin Arı 28 0 0 14 Nov 2025
Confidence-Aware Neural Decoding of Overt Speech from EEG: Toward Robust Brain-Computer Interfaces Soowon Kim Byung-Kwan Ko Seo-Hyun Lee 128 0 0 11 Nov 2025
Advancements in synthetic data extraction for industrial injection moldingPortuguese Conference on Artificial Intelligence (EPIA), 2025 Georg Rottenwalter Marcel Tilly Christian Bielenberg Katharina Obermeier AI4CE 56 0 0 11 Nov 2025
Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios? Shiyan Zheng Herun Wan Minnan Luo Junhang Huang AAML 302 0 0 11 Nov 2025
Learning to Focus: Focal Attention for Selective and Scalable Transformers Dhananjay Ram Wei Xia Stefano Soatto 220 0 0 10 Nov 2025
ClusterMine: Robust Label-Free Visual Out-Of-Distribution Detection via Concept Mining from Text Corpora Nikolas Adaloglou Diana Petrusheva Mohamed Asker Félix D. P. Michels M. Kollmann OODD 104 0 0 10 Nov 2025
Robust Experimental Design via Generalised Bayesian Inference Yasir Zubayr Barlas Sabina J. Sloman Samuel Kaski 72 0 0 10 Nov 2025
Optimizing Chain-of-Thought Confidence via Topological and Dirichlet Risk Analysis Abhishek More Anthony Zhang Nicole Bonilla Ashvik Vivekan Kevin Zhu Parham Sharafoleslami Maheep Chaudhary LRM 80 0 0 09 Nov 2025
Diagnose Like A REAL Pathologist: An Uncertainty-Focused Approach for Trustworthy Multi-Resolution Multiple Instance Learning Sungrae Hong Sol Lee Jisu Shin Mun Yi 122 0 0 09 Nov 2025
Beta Distribution Learning for Reliable Roadway Crash Risk Assessment Ahmad Elallaf Nathan Jacobs Xinyue Ye Mei Chen G. Liang 120 0 0 07 Nov 2025
On Joint Regularization and Calibration in Deep Ensembles Laurits Fredsgaard Mikkel N. Schmidt UQCV 271 0 0 06 Nov 2025
Temporal Zoom Networks: Distance Regression and Continuous Depth for Efficient Action Localization Ibne Farabi Shihab Sanjeda Akter Anuj Sharma 108 0 0 06 Nov 2025
Simplex-FEM Networks (SiFEN): Learning A Triangulated Function Approximator Chaymae Yahyati Ismail Lamaakal Khalid El Makkaoui Ibrahim Ouahbi Yassine Maleh 63 0 0 06 Nov 2025
Structured Matrix Scaling for Multi-Class Calibration Eugene Berta David Holzmüller Michael I. Jordan Francis Bach 92 0 0 05 Nov 2025
TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models Aditya Tanna Pratinav Seth Mohamed Bouadi Utsav Avaiya Vinay Kumar Sankarapu LMTD 175 0 0 04 Nov 2025
Open the Oyster: Empirical Evaluation and Improvement of Code Reasoning Confidence in LLMs Shufan Wang Xing Hu Junkai Chen Zhiyuan Pan Xin Xia LRM 97 0 0 04 Nov 2025
Calibration improves detection of mislabeled examples Ilies Chibane Thomas George Pierre Nodet Vincent Lemaire 68 0 0 04 Nov 2025
A Preliminary Study of RAG for Taiwanese Historical Archives Claire Lin Bo-Han Feng Xuanjun Chen Te-Lun Yang Hung-yi Lee J. Jang 56 0 0 04 Nov 2025
Trustworthy Quantum Machine Learning: A Roadmap for Reliability, Robustness, and Security in the NISQ Era Ferhat Ozgur Catak Jungwon Seo Umit Cali 56 0 0 04 Nov 2025
TRACES: Temporal Recall with Contextual Embeddings for Real-Time Video Anomaly Detection Yousuf Ahmed Siddiqui Sufiyaan Usmani Umer Tariq Jawwad A. Shamsi Muhammad Burhan Khan AI4TS 76 0 0 01 Nov 2025
More Than A Shortcut: A Hyperbolic Approach To Early-Exit Networks Swapnil Bhosale Cosmin Frateanu Camilla Clark Arnoldas Jasonas Chris Mitchell Xiatian Zhu Vamsi Krishna Ithapu Giacomo Ferroni Cagdas Bilen Sanjeel Parekh 64 0 0 01 Nov 2025
Before the Clinic: Transparent and Operable Design Principles for Healthcare AI Alexander Bakumenko Aaron J. Masino Janine Hoelscher 56 1 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 88 0 0 31 Oct 2025
Calibration Across Layers: Understanding Calibration Evolution in LLMs Abhinav Joshi A. Ahmad Ashutosh Modi UQCV 221 2 0 31 Oct 2025