Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1706.04599
Cited By
v1
v2 (latest)
On Calibration of Modern Neural Networks
International Conference on Machine Learning (ICML), 2017
14 June 2017
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"On Calibration of Modern Neural Networks"
50 / 3,760 papers shown
Query-based Knowledge Transfer for Heterogeneous Learning Environments
International Conference on Learning Representations (ICLR), 2025
Norah Alballa
Wenxuan Zhang
Ziquan Liu
A. Abdelmoniem
Mohamed Elhoseiny
Marco Canini
338
2
0
12 Apr 2025
High dimensional online calibration in polynomial time
Binghui Peng
214
3
0
12 Apr 2025
An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks
International Symposium on Intelligent Data Analysis (IDA), 2025
Miro Miranda
Francisco Mena
A. Dengel
OOD
222
0
0
09 Apr 2025
Towards Calibration Enhanced Network by Inverse Adversarial Attack
Yupeng Cheng
Zi Pong Lim
Sarthak Ketanbhai Modi
Yon Shin Teo
Yushi Cao
Shang-Wei Lin
AAML
155
0
0
08 Apr 2025
IAEmu: Learning Galaxy Intrinsic Alignment Correlations
The Open Journal of Astrophysics (OJAp), 2025
Sneh Pandya
Yuanyuan Yang
N. V. Alfen
Jonathan Blazek
Robin Walters
272
1
0
07 Apr 2025
TestDG: Test-time Domain Generalization for Continual Test-time Adaptation
Sohyun Lee
N. Kim
Juwon Kang
Seong Joon Oh
Suha Kwak
OOD
TTA
715
0
0
07 Apr 2025
Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation
Sebastian Schmidt
Julius Körner
Dominik Fuchsgruber
Stefano Gasperini
F. Tombari
Stephan Günnemann
363
2
0
07 Apr 2025
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Sara Pohland
Claire Tomlin
DiffM
AAML
281
0
0
07 Apr 2025
Locations of Characters in Narratives: Andersen and Persuasion Datasets
Batuhan Ozyurt
Roya Arkhmammadova
Deniz Yuret
162
4
0
04 Apr 2025
LLM Social Simulations Are a Promising Research Method
Jacy Reese Anthis
Ryan Liu
Sean M. Richardson
Austin C. Kozlowski
Bernard Koch
James A. Evans
Erik Brynjolfsson
Michael S. Bernstein
ALM
495
82
0
03 Apr 2025
Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models
Liangjie Huang
Dawei Li
Huan Liu
Lu Cheng
LRM
362
0
0
03 Apr 2025
UAC: Uncertainty-Aware Calibration of Neural Networks for Gesture Detection
Farida Al Haddad
Yuxin Wang
Malcolm Mielle
282
1
0
02 Apr 2025
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Shijie Ma
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
288
17
0
02 Apr 2025
Explainable AI-Based Interface System for Weather Forecasting Model
Interacción (HCII), 2025
Soyeon Kim
Junho Choi
Yeji Choi
Subeen Lee
Artyom Stitsyuk
Minkyoung Park
Seongyeop Jeong
Youhyun Baek
Jaesik Choi
XAI
301
6
0
01 Apr 2025
Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation
North American Chapter of the Association for Computational Linguistics (NAACL), 2025
Jiwon Jeong
Hyeju Jang
Hogun Park
ReLM
LRM
292
5
0
30 Mar 2025
Large Language Models Are Unreliable for Cyber Threat Intelligence
ARES (ARES), 2025
Emanuele Mezzi
Fabio Massacci
Katja Tuma
476
8
0
29 Mar 2025
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Bin Zhang
Xiaoyang Qu
Guokuan Li
Jiguang Wan
Jianzong Wang
VLM
289
1
0
28 Mar 2025
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning
Computer Vision and Pattern Recognition (CVPR), 2025
Seong-Hyeon Hwang
Minsu Kim
Steven Euijong Whang
163
2
0
28 Mar 2025
Local Normalization Distortion and the Thermodynamic Formalism of Decoding Strategies for Large Language Models
Tom Kempton
Stuart Burrell
215
2
0
27 Mar 2025
Continual learning via probabilistic exchangeable sequence modelling
Hanwen Xing
Christopher Yau
CLL
BDL
310
0
0
26 Mar 2025
Uncertainty Weighted Gradients for Model Calibration
Computer Vision and Pattern Recognition (CVPR), 2025
Jinxu Lin
Linwei Tao
Minjing Dong
Chang Xu
UQCV
270
3
0
26 Mar 2025
TempTest: Local Normalization Distortion and the Detection of Machine-generated Text
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Tom Kempton
Stuart Burrell
Connor Cheverall
DeLMO
258
1
0
26 Mar 2025
Adaptive Wavelet Filters as Practical Texture Feature Amplifiers for Parkinson's Disease Screening in OCT
Xinsong Zhang
Hanfeng Shi
Xianrui Li
Haili Ye
Tao Xu
Na Li
Yan Hu
Fan Lv
Jianfei Chen
Jiang Liu
191
1
0
25 Mar 2025
Data-centric Federated Graph Learning with Large Language Models
Bo Yan
Zhongjian Zhang
Huabin Sun
Mengmei Zhang
Yang Cao
C. Shi
FedML
212
1
0
25 Mar 2025
DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels
Computer Vision and Pattern Recognition (CVPR), 2025
Erjian Guo
Zhen Zhao
Zicheng Wang
Tong Chen
Yunyi Liu
Luping Zhou
DiffM
MedIm
264
2
0
24 Mar 2025
Rethinking Glaucoma Calibration: Voting-Based Binocular and Metadata Integration
Taejin Jeong
Joohyeok Kim
Jaehoon Joo
Yeonwoo Jung
223
0
0
24 Mar 2025
Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models
Meng Cao
Pengfei Hu
Yuhang Han
J. Gu
Haoran Tang
...
Jun Song
Xiang Li
Bo Zheng
Ian Reid
Xiaodan Liang
192
8
0
24 Mar 2025
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
International Conference on Learning Representations (ICLR), 2025
Hongliang Chi
Qiong Wu
Zhengyi Zhou
Yao Ma
TDI
AAML
329
2
0
23 Mar 2025
Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning
Yilong Wang
Jing Zhang
Tianxiang Zhao
Suhang Wang
AAML
250
1
0
23 Mar 2025
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2025
Lulu Zhang
Chaochao Chen
Zhongxuan Han
Qiyong Zhong
Xiaolin Zheng
FedML
257
1
0
21 Mar 2025
Beyond Accuracy: What Matters in Designing Well-Behaved Image Classification Models?
Robin Hesse
Doğukan Bağcı
Bernt Schiele
Simone Schaub-Meyer
Stefan Roth
VLM
437
0
0
21 Mar 2025
MetaSel: A Test Selection Approach for Fine-tuned DNN Models
IEEE Transactions on Software Engineering (TSE), 2025
Amin Abbasishahkoo
Mahboubeh Dadkhah
Lionel C. Briand
Dayi Lin
442
0
0
21 Mar 2025
Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMs
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Anshumann
Mohd Abbas Zaidi
Akhil Kedia
Jinwoo Ahn
Taehwak Kwon
Kangwook Lee
Haejun Lee
Joohyung Lee
FedML
817
1
0
21 Mar 2025
From Intrinsic Toxicity to Reception-Based Toxicity: A Contextual Framework for Prediction and Evaluation
Sergey Berezin
R. Farahbakhsh
Noel Crespi
273
1
0
20 Mar 2025
Evaluating ASR Confidence Scores for Automated Error Detection in User-Assisted Correction Interfaces
Korbinian Kuhn
Verena Kersken
Gottfried Zimmermann
270
1
0
19 Mar 2025
Efficient Post-Hoc Uncertainty Calibration via Variance-Based Smoothing
Fabian Denoodt
José Oramas
UQCV
360
0
0
19 Mar 2025
Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence
Sophia Hager
David Mueller
Kevin Duh
Nicholas Andrews
451
4
0
18 Mar 2025
Exploring the Potential of Bilevel Optimization for Calibrating Neural Networks
Irish Conference on Artificial Intelligence and Cognitive Science (AICS), 2025
Gabriele Sanguin
Arjun Pakrashi
Marco Viola
Francesco Rinaldi
361
0
0
17 Mar 2025
On Local Posterior Structure in Deep Ensembles
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Mikkel Jordahn
Jonas Vestergaard Jensen
Mikkel N. Schmidt
Michael Riis Andersen
UQCV
BDL
OOD
351
0
0
17 Mar 2025
O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models
Computer Vision and Pattern Recognition (CVPR), 2025
Ashshak Sharifdeen
Muhammad Akhtar Munir
Sanoojan Baliah
Salman Khan
M. H. Khan
VLM
218
9
0
15 Mar 2025
Modeling Subjectivity in Cognitive Appraisal with Language Models
Yuxiang Zhou
Hainiu Xu
Desmond C. Ong
Petr Slovak
Petr Slovak
Yulan He
220
2
0
14 Mar 2025
Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks
Alisa Sheinkman
Sara Wade
UQCV
BDL
369
0
0
14 Mar 2025
Conformal forecasting for surgical instrument trajectory
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Sara Sangalli
Gary Sarwin
Ertunc Erdil
Alessandro Carretta
V. Staartjes
Carlo Serra
E. Konukoglu
345
0
0
13 Mar 2025
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration
The Web Conference (WWW), 2022
Siguang Huang
Yunli Wang
Lili Mou
Huayue Zhang
Ziru Xu
Chuan Yu
Bo Zheng
373
16
0
13 Mar 2025
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction
IEEE International Conference on Robotics and Automation (ICRA), 2025
Severin Heidrich
Till Beemelmanns
Alexey Nekrasov
Bastian Leibe
Lutz Eckstein
317
2
0
13 Mar 2025
I Can Tell Your Secrets: Inferring Privacy Attributes from Mini-app Interaction History in Super-apps
Y. Cai
Ziqi Zhang
Mengyu Yao
Junlin Liu
Xiaoke Zhao
...
Ruoyu Li
Zhe Li
Xiangqun Chen
Yao Guo
Ding Li
214
2
0
13 Mar 2025
Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks
Eirik Høyheim
Lars Skaaret-Lund
Solve Sæbø
A. Hubin
UQCV
BDL
234
0
0
13 Mar 2025
Conformal Prediction and Human Decision Making
Jessica Hullman
Yifan Wu
Dawei Xie
Ziyang Guo
Andrew Gelman
490
5
0
12 Mar 2025
Exploration of Hepatitis B Virus Infection Dynamics through Physics-Informed Deep Learning Approach
Bikram Das
Rupchand Sutradhar
D C Dalal
272
0
0
12 Mar 2025
Certainly Bot Or Not? Trustworthy Social Bot Detection via Robust Multi-Modal Neural Processes
Qi Wu
Yingguang Yang
Hao Liu
Hao Peng
Buyun He
Yutong Xia
Yong Liao
AAML
305
1
0
11 Mar 2025
Previous
1
2
3
...
10
11
12
...
74
75
76
Next
