ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1706.04599
  4. Cited By
On Calibration of Modern Neural Networks
v1v2 (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
ArXiv (abs)PDFHTML

Papers citing "On Calibration of Modern Neural Networks"

50 / 3,777 papers shown
Leveraging Intermediate Representations for Better Out-of-Distribution Detection
Leveraging Intermediate Representations for Better Out-of-Distribution Detection
Gianluca Guglielmo
Marc Masana
OODD
299
2
0
18 Feb 2025
MaxSup: Overcoming Representation Collapse in Label Smoothing
MaxSup: Overcoming Representation Collapse in Label Smoothing
Yuxuan Zhou
Heng Li
Zhi-Qi Cheng
Xudong Yan
Yifei Dong
Mario Fritz
Margret Keuper
567
0
0
18 Feb 2025
Conformal Prediction Sets Can Cause Disparate Impact
Conformal Prediction Sets Can Cause Disparate ImpactInternational Conference on Learning Representations (ICLR), 2024
Jesse C. Cresswell
Bhargava Kumar
Yi Sui
Mouloud Belbahri
FaML
983
10
0
17 Feb 2025
FOCUS on Contamination: Hydrology-Informed Noise-Aware Learning for Geospatial PFAS Mapping
FOCUS on Contamination: Hydrology-Informed Noise-Aware Learning for Geospatial PFAS Mapping
Jowaria Khan
Alexa Friedman
Sydney Evans
Runzi Wang
Runzi Wang
Katherine E. Manz
Kaley Beins
David Andrews
Elizabeth Bondi-Kelly
AI4CE
298
1
0
17 Feb 2025
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary PerceptionAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Shiyu Ni
Keping Bi
Jiafeng Guo
Lulu Yu
Baolong Bi
Xueqi Cheng
320
19
0
17 Feb 2025
Mind the Confidence Gap: Overconfidence, Calibration, and Distractor Effects in Large Language Models
Mind the Confidence Gap: Overconfidence, Calibration, and Distractor Effects in Large Language Models
Prateek Chhikara
706
25
0
16 Feb 2025
Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training
Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training
Yao-Ching Yu
Tsun-Han Chiang
Cheng-Wei Tsai
Chien-Ming Huang
Wen-Kwang Tsao
393
19
0
16 Feb 2025
Uncertainty-Aware Step-wise Verification with Generative Reward Models
Uncertainty-Aware Step-wise Verification with Generative Reward Models
Zihuiwen Ye
Luckeciano C. Melo
Younesse Kaddar
Phil Blunsom
Shivalika Singh
Yarin Gal
LRM
369
16
0
16 Feb 2025
AI Generations: From AI 1.0 to AI 4.0
AI Generations: From AI 1.0 to AI 4.0
Jiahao Wu
Hengxu You
Jing Du
AI4TS
257
5
0
16 Feb 2025
Smoothing Out Hallucinations: Mitigating LLM Hallucination with Smoothed Knowledge Distillation
Smoothing Out Hallucinations: Mitigating LLM Hallucination with Smoothed Knowledge Distillation
Hieu Nguyen
Zihao He
Shoumik Atul Gandre
Ujjwal Pasupulety
Sharanya Kumari Shivakumar
Kristina Lerman
HILM
407
14
0
16 Feb 2025
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution ShiftsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Sameer Ambekar
Zehao Xiao
Xiantong Zhen
Cees G. M. Snoek
OOD
515
3
0
15 Feb 2025
Representation Learning on Out of Distribution in Tabular Data
Representation Learning on Out of Distribution in Tabular Data
Achmad Ginanjar
Xue Li
Priyanka Singh
Wen Hua
LMTD
1.0K
1
0
14 Feb 2025
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms
Luke E. Richards
Jessie Yaros
Jasen Babcock
Coung Ly
Robin Cosbey
Timothy Doster
Cynthia Matuszek
NAI
354
4
0
13 Feb 2025
Diverse Transformer Decoding for Offline Reinforcement Learning Using Financial Algorithmic Approaches
Diverse Transformer Decoding for Offline Reinforcement Learning Using Financial Algorithmic Approaches
D. Elbaz
Oren Salzman
OffRL
359
0
0
13 Feb 2025
A Bayesian Nonparametric Perspective on Mahalanobis Distance for Out of Distribution Detection
A Bayesian Nonparametric Perspective on Mahalanobis Distance for Out of Distribution Detection
Randolph Linderman
Yiran Chen
Scott W. Linderman
141
0
0
12 Feb 2025
Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement
Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation DisagreementAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Junyu Lu
Kai Ma
Kaichun Wang
Kelaiti Xiao
Roy Ka-Wei Lee
Bo Xu
Liang Yang
Hongfei Lin
401
0
0
10 Feb 2025
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction
L. Laan
Ahmed Alaa
508
4
0
08 Feb 2025
Confidence Elicitation: A New Attack Vector for Large Language Models
Confidence Elicitation: A New Attack Vector for Large Language ModelsInternational Conference on Learning Representations (ICLR), 2025
Brian Formento
Chuan-Sheng Foo
See-Kiong Ng
AAML
673
3
0
07 Feb 2025
Temporal Distribution Shift in Real-World Pharmaceutical Data: Implications for Uncertainty Quantification in QSAR Models
Temporal Distribution Shift in Real-World Pharmaceutical Data: Implications for Uncertainty Quantification in QSAR ModelsArtificial Intelligence in the Life Sciences (AILS), 2025
Hannah Rosa Friesacher
Emma Svensson
S. Winiwarter
Lewis H. Mervin
Adam Arany
Ola Engkvist
OOD
229
3
0
06 Feb 2025
Addressing Label Shift in Distributed Learning via Entropy Regularization
Addressing Label Shift in Distributed Learning via Entropy RegularizationInternational Conference on Learning Representations (ICLR), 2025
Zhiyuan Wu
Changkyu Choi
Xiangcheng Cao
Volkan Cevher
Ali Ramezani-Kebrya
412
0
0
04 Feb 2025
The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration
The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration
Wei Yao
Wenkai Yang
Liang Luo
Yankai Lin
Yong Liu
Yong Liu
ELM
1.0K
3
0
03 Feb 2025
Rethinking Early Stopping: Refine, Then Calibrate
Rethinking Early Stopping: Refine, Then Calibrate
Eugene Berta
David Holzmüller
Michael I. Jordan
Francis Bach
451
10
0
31 Jan 2025
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models
Behraj Khan
T. Syed
1.2K
2
0
29 Jan 2025
Extending Information Bottleneck Attribution to Video Sequences
Extending Information Bottleneck Attribution to Video Sequences
Veronika Solopova
Lucas Schmidt
Dorothea Kolossa
321
2
0
28 Jan 2025
Random Forest Calibration
Random Forest CalibrationKnowledge-Based Systems (KBS), 2025
M. Shaker
Eyke Hüllermeier
231
6
0
28 Jan 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Yibin Wang
Haizhou Shi
Ligong Han
Dimitris N. Metaxas
Hao Wang
BDLUQLM
846
32
0
28 Jan 2025
Conformalized Answer Set Prediction for Knowledge Graph Embedding
Conformalized Answer Set Prediction for Knowledge Graph EmbeddingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Yuqicheng Zhu
Nico Potyka
Jiarong Pan
Bo Xiong
Yunjie He
Evgeny Kharlamov
Steffen Staab
489
5
0
28 Jan 2025
HopCast: Calibration of Autoregressive Dynamics Models
HopCast: Calibration of Autoregressive Dynamics Models
Muhammad Bilal Shahid
Cody H. Fleming
UQCV
559
1
0
27 Jan 2025
Breaking the SSL-AL Barrier: A Synergistic Semi-Supervised Active Learning Framework for 3D Object Detection
Breaking the SSL-AL Barrier: A Synergistic Semi-Supervised Active Learning Framework for 3D Object Detection
Zengran Wang
Yanan Zhang
Jiaxin Chen
Di Huang
425
0
0
26 Jan 2025
As Confidence Aligns: Exploring the Effect of AI Confidence on Human Self-confidence in Human-AI Decision Making
As Confidence Aligns: Exploring the Effect of AI Confidence on Human Self-confidence in Human-AI Decision Making
Jingshu Li
Yitian Yang
Q. Vera Liao
Junti Zhang
Yi-Chieh Lee
308
4
0
22 Jan 2025
Conformal Prediction of Classifiers with Many Classes based on Noisy Labels
Conformal Prediction of Classifiers with Many Classes based on Noisy LabelsInternational Symposium on Conformal and Probabilistic Prediction with Applications (ISCPPA), 2025
Coby Penso
Jacob Goldberger
Ethan Fetaya
373
2
0
22 Jan 2025
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective
Xueqiong Yuan
Jipeng Li
E. Kuruoglu
UQCVBDL
327
2
0
21 Jan 2025
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency DropoutIEEE International Symposium on Biomedical Imaging (ISBI), 2025
Tal Zeevi
Lawrence H. Staib
J. Onofrey
OODUQCV
305
5
0
20 Jan 2025
Classifier Ensemble for Efficient Uncertainty Calibration of Deep Neural Networks for Image Classification
Classifier Ensemble for Efficient Uncertainty Calibration of Deep Neural Networks for Image Classification
Michael Schulze
Nikolas Ebert
Laurenz Reichardt
Oliver Wasenmüller
UQCV
259
2
0
20 Jan 2025
Confidence-Driven Deep Learning Framework for Early Detection of Knee Osteoarthritis
Confidence-Driven Deep Learning Framework for Early Detection of Knee Osteoarthritis
Zhe Wang
A. Chetouani
R. Jennane
Yuhua Ru
Fang Chen
M. Jarraya
Fabian Bauer
Liping Zhang
Didier Hans
Rachid Jennane
274
3
0
17 Jan 2025
A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation
A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth EstimationTM. Technisches Messen (TM), 2024
S. Landgraf
Markus Hillemann
Theodor Kapler
Markus Ulrich
UQCV
212
0
0
17 Jan 2025
Confidence Estimation for Error Detection in Text-to-SQL Systems
Confidence Estimation for Error Detection in Text-to-SQL SystemsAAAI Conference on Artificial Intelligence (AAAI), 2025
Oleg Somov
Elena Tutubalina
342
10
0
17 Jan 2025
On the challenges of detecting MCI using EEG in the wild
On the challenges of detecting MCI using EEG in the wild
Aayush Mishra
David Joffe
Sankara Surendra Telidevara
David S Oakley
Anqi Liu
346
0
0
15 Jan 2025
Can Bayesian Neural Networks Explicitly Model Input Uncertainty?
Can Bayesian Neural Networks Explicitly Model Input Uncertainty?
Matias Valdenegro-Toro
Marco Zullich
BDLPERUQCVUD
991
1
0
14 Jan 2025
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation
S. Landgraf
Rongjun Qin
Markus Ulrich
UQCV
369
3
0
14 Jan 2025
Uncertainty Guarantees on Automated Precision Weeding using Conformal Prediction
Uncertainty Guarantees on Automated Precision Weeding using Conformal Prediction
P. Melki
Lionel Bombrun
Boubacar Diallo
Jérôme Dias
Jean-Pierre da Costa
233
1
0
13 Jan 2025
Aligning NLP Models with Target Population Perspectives using PAIR: Population-Aligned Instance Replication
Aligning NLP Models with Target Population Perspectives using PAIR: Population-Aligned Instance Replication
Stephanie Eckman
Bolei Ma
Christoph Kern
Rob Chew
Yun Xue
Frauke Kreuter
374
0
0
12 Jan 2025
Cascaded Self-Evaluation Augmented Training for Lightweight Multimodal LLMs
Cascaded Self-Evaluation Augmented Training for Lightweight Multimodal LLMs
Zheqi Lv
Wenkai Wang
Jiawei Wang
Shengyu Zhang
Leilei Gan
LRMReLM
419
0
0
10 Jan 2025
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting
Hierarchical Light Transformer Ensembles for Multimodal Trajectory ForecastingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Adrien Lafage
Mathieu Barbier
Gianni Franchi
David Filliat
490
8
0
08 Jan 2025
Partial-Label Learning with a Reject Option
Partial-Label Learning with a Reject Option
Tobias Fuchs
Florian Kalinke
Klemens Bohm
489
3
0
08 Jan 2025
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal TrainingAAAI Conference on Artificial Intelligence (AAAI), 2025
Ting Wang
Zhixin Zhou
Rui Luo
436
12
0
06 Jan 2025
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence BenchmarksInternational Conference on Computational Linguistics (COLING), 2025
Yang Wang
Chenghua Lin
ELM
454
4
0
05 Jan 2025
Multi-layer Radial Basis Function Networks for Out-of-distribution Detection
Multi-layer Radial Basis Function Networks for Out-of-distribution Detection
Amol Khanna
Chenyi Ling
Derek Everett
Edward Raff
Nathan Inkawhich
OODD
524
1
0
05 Jan 2025
Ultrasound Lung Aeration Map via Physics-Aware Neural Operators
Ultrasound Lung Aeration Map via Physics-Aware Neural Operators
Jiayun Wang
Oleksii Ostras
Masashi Sode
Bahareh Tolooshams
Zongyi Li
Kamyar Azizzadenesheli
Gianmarco Pinton
Julius Berner
265
6
0
03 Jan 2025
Measuring Error Alignment for Decision-Making Systems
Measuring Error Alignment for Decision-Making SystemsAAAI Conference on Artificial Intelligence (AAAI), 2024
Binxia Xu
Antonis Bikakis
Daniel Onah
A. Vlachidis
Luke Dickens
470
1
0
03 Jan 2025
Previous
123...121314...747576
Next
Page 13 of 76
Pageof 76