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On Calibration of Modern Neural Networks

On Calibration of Modern Neural Networks

14 June 2017
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
    UQCV
ArXivPDFHTML

Papers citing "On Calibration of Modern Neural Networks"

50 / 1,060 papers shown
Title
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration
Zixiang Wang
Yinghao Zhu
Huiya Zhao
Xiaochen Zheng
Tianlong Wang
...
Yasha Wang
Ewen M. Harrison
Junyi Gao
Liantao Ma
Liantao Ma
52
1
0
03 Oct 2024
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
Changdae Oh
Yixuan Li
Kyungwoo Song
Sangdoo Yun
Dongyoon Han
OOD
MoMe
45
4
0
03 Oct 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification
MONICA: Benchmarking on Long-tailed Medical Image Classification
Lie Ju
Siyuan Yan
Yukun Zhou
Yang Nan
Xiaodan Xing
Peibo Duan
Zongyuan Ge
59
0
0
02 Oct 2024
Calibrated Probabilistic Forecasts for Arbitrary Sequences
Calibrated Probabilistic Forecasts for Arbitrary Sequences
Charles Marx
Volodymyr Kuleshov
Stefano Ermon
AI4TS
38
1
0
27 Sep 2024
Can Language Model Understand Word Semantics as A Chatbot? An Empirical
  Study of Language Model Internal External Mismatch
Can Language Model Understand Word Semantics as A Chatbot? An Empirical Study of Language Model Internal External Mismatch
Jinman Zhao
Xueyan Zhang
Xingyu Yue
Weizhe Chen
Zifan Qian
Ruiyu Wang
LRM
34
0
0
21 Sep 2024
Bayesian Self-Training for Semi-Supervised 3D Segmentation
Bayesian Self-Training for Semi-Supervised 3D Segmentation
Ozan Unal
Christos Sakaridis
Luc Van Gool
3DPC
3DV
34
0
0
12 Sep 2024
Gradient-free variational learning with conditional mixture networks
Gradient-free variational learning with conditional mixture networks
Conor Heins
Hao Wu
Dimitrije Marković
Alexander Tschantz
Jeff Beck
Christopher L. Buckley
BDL
31
2
0
29 Aug 2024
Snuffy: Efficient Whole Slide Image Classifier
Snuffy: Efficient Whole Slide Image Classifier
Hossein Jafarinia
Alireza Alipanah
Danial Hamdi
Saeed Razavi
Nahal Mirzaie
M. Rohban
3DH
48
1
0
15 Aug 2024
End-to-end Semantic-centric Video-based Multimodal Affective Computing
End-to-end Semantic-centric Video-based Multimodal Affective Computing
Ronghao Lin
Ying Zeng
Sijie Mai
Haifeng Hu
VGen
45
0
0
14 Aug 2024
Perception Matters: Enhancing Embodied AI with Uncertainty-Aware Semantic Segmentation
Perception Matters: Enhancing Embodied AI with Uncertainty-Aware Semantic Segmentation
Sai Prasanna
Daniel Honerkamp
Kshitij Sirohi
Tim Welschehold
Wolfram Burgard
Abhinav Valada
45
1
0
05 Aug 2024
RICA2: Rubric-Informed, Calibrated Assessment of Actions
RICA2: Rubric-Informed, Calibrated Assessment of Actions
Abrar Majeedi
Viswanatha Reddy Gajjala
Satya Sai Srinath Namburi Gnvv
Yin Li
CML
31
2
0
04 Aug 2024
Enhancing Financial Market Predictions: Causality-Driven Feature
  Selection
Enhancing Financial Market Predictions: Causality-Driven Feature Selection
Wenhao Liang
Zhengyang Li
Weitong Chen
AIFin
41
0
0
02 Aug 2024
Cost-Effective Hallucination Detection for LLMs
Cost-Effective Hallucination Detection for LLMs
Simon Valentin
Jinmiao Fu
Gianluca Detommaso
Shaoyuan Xu
Giovanni Zappella
Bryan Wang
HILM
42
4
0
31 Jul 2024
Probabilistic Parameter Estimators and Calibration Metrics for Pose
  Estimation from Image Features
Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features
Romeo Valentin
Sydney M. Katz
Joonghyun Lee
Don Walker
Matthew Sorgenfrei
Mykel J. Kochenderfer
36
0
0
23 Jul 2024
The Rlign Algorithm for Enhanced Electrocardiogram Analysis through
  R-Peak Alignment for Explainable Classification and Clustering
The Rlign Algorithm for Enhanced Electrocardiogram Analysis through R-Peak Alignment for Explainable Classification and Clustering
Lucas Plagwitz
Lucas Bickmann
Michael Fujarski
Alexander Brenner
Warnes Gobalakrishnan
Lars Eckardt
Antonius Büscher
Julian Varghese
18
3
0
22 Jul 2024
Leveraging Topological Guidance for Improved Knowledge Distillation
Leveraging Topological Guidance for Improved Knowledge Distillation
Eun Som Jeon
Rahul Khurana
Aishani Pathak
P. Turaga
49
0
0
07 Jul 2024
Topological Persistence Guided Knowledge Distillation for Wearable
  Sensor Data
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data
Eun Som Jeon
Hongjun Choi
A. Shukla
Yuan Wang
Hyunglae Lee
M. Buman
P. Turaga
27
3
0
07 Jul 2024
CALICO: Confident Active Learning with Integrated Calibration
CALICO: Confident Active Learning with Integrated Calibration
L. S. Querol
Hajime Nagahara
Hideaki Hayashi
25
0
0
02 Jul 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
Wataru Hashimoto
Hidetaka Kamigaito
Taro Watanabe
57
0
0
02 Jul 2024
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks
Aidan Furlong
Farah Alsafadi
S. Palmtag
Andrew Godfrey
Xu Wu
54
1
0
27 Jun 2024
Robust Surgical Phase Recognition From Annotation Efficient Supervision
Robust Surgical Phase Recognition From Annotation Efficient Supervision
Or Rubin
S. Laufer
24
0
0
26 Jun 2024
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental
  Learning Method
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
Kishaan Jeeveswaran
Elahe Arani
Bahram Zonooz
CLL
46
3
0
23 Jun 2024
Predicting Probabilities of Error to Combine Quantization and Early
  Exiting: QuEE
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE
Florence Regol
Joud Chataoui
Bertrand Charpentier
Mark J. Coates
Pablo Piantanida
Stephan Gunnemann
45
0
0
20 Jun 2024
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Yulai Zhao
Masatoshi Uehara
Gabriele Scalia
Tommaso Biancalani
Sergey Levine
Ehsan Hajiramezanali
Ehsan Hajiramezanali
AI4CE
57
3
0
17 Jun 2024
Uncertainty modeling for fine-tuned implicit functions
Uncertainty modeling for fine-tuned implicit functions
A. Susmelj
Mael Macuglia
Nataša Tagasovska
Reto Sutter
Sebastiano Caprara
Jean-Philippe Thiran
E. Konukoglu
70
1
0
17 Jun 2024
Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
Wenkai Yang
Shiqi Shen
Guangyao Shen
Zhi Gong
Yankai Lin
Zhi Gong
Yankai Lin
Ji-Rong Wen
55
13
0
17 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across
  Diverse Test Conditions?
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Weijie Tu
Weijian Deng
Liang Zheng
Tom Gedeon
40
0
0
14 Jun 2024
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications
Jordy Van Landeghem
Subhajit Maity
Ayan Banerjee
Matthew Blaschko
Marie-Francine Moens
Josep Lladós
Sanket Biswas
50
2
0
12 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
Hengzhu Liu
Ping Xiong
Tianqing Zhu
Philip S. Yu
32
6
0
10 Jun 2024
Benchmark Data Contamination of Large Language Models: A Survey
Benchmark Data Contamination of Large Language Models: A Survey
Cheng Xu
Shuhao Guan
Derek Greene
Mohand-Tahar Kechadi
ELM
ALM
38
39
0
06 Jun 2024
Reassessing How to Compare and Improve the Calibration of Machine Learning Models
Reassessing How to Compare and Improve the Calibration of Machine Learning Models
M. Chidambaram
Rong Ge
71
1
0
06 Jun 2024
Normalizing Flows for Conformal Regression
Normalizing Flows for Conformal Regression
Nicolo Colombo
40
6
0
05 Jun 2024
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning
  for Video Data Drift
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift
Peng Zhao
Runchu Dong
Guiqin Wang
Cong Zhao
38
1
0
05 Jun 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
T. Pouplin
Alan Jeffares
Nabeel Seedat
Mihaela van der Schaar
55
3
0
05 Jun 2024
Orthogonal Causal Calibration
Orthogonal Causal Calibration
Justin Whitehouse
Christopher Jung
Vasilis Syrgkanis
Bryan Wilder
Zhiwei Steven Wu
CML
114
1
0
04 Jun 2024
Robust Classification by Coupling Data Mollification with Label Smoothing
Robust Classification by Coupling Data Mollification with Label Smoothing
Markus Heinonen
Ba-Hien Tran
Michael Kampffmeyer
Maurizio Filippone
73
0
0
03 Jun 2024
Don't drop your samples! Coherence-aware training benefits Conditional diffusion
Don't drop your samples! Coherence-aware training benefits Conditional diffusion
Nicolas Dufour
Victor Besnier
Vicky Kalogeiton
David Picard
DiffM
59
2
0
30 May 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
Justin Deschenaux
Igor Krawczuk
Grigorios G. Chrysos
V. Cevher
DiffM
49
3
0
29 May 2024
Rejection via Learning Density Ratios
Rejection via Learning Density Ratios
Alexander Soen
Hisham Husain
Philip Schulz
Vu-Linh Nguyen
49
2
0
29 May 2024
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal
  Prediction
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction
Jeffrey Wen
Rizwan Ahmad
Philip Schniter
39
2
0
28 May 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections
WeiPer: OOD Detection using Weight Perturbations of Class Projections
Maximilian Granz
Manuel Heurich
Tim Landgraf
OODD
46
1
0
27 May 2024
On Fairness of Low-Rank Adaptation of Large Models
On Fairness of Low-Rank Adaptation of Large Models
Zhoujie Ding
Ken Ziyu Liu
Pura Peetathawatchai
Berivan Isik
Sanmi Koyejo
48
4
0
27 May 2024
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling
Cristian Rodriguez-Opazo
Ehsan Abbasnejad
Damien Teney
Edison Marrese-Taylor
Hamed Damirchi
Anton Van Den Hengel
VLM
40
1
0
27 May 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Kaizheng Wang
Fabio Cuzzolin
Keivan K1 Shariatmadar
David Moens
Hans Hallez
UQCV
BDL
83
0
0
23 May 2024
LookHere: Vision Transformers with Directed Attention Generalize and
  Extrapolate
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate
A. Fuller
Daniel G. Kyrollos
Yousef Yassin
James R. Green
52
2
0
22 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks
Towards Certification of Uncertainty Calibration under Adversarial Attacks
Cornelius Emde
Francesco Pinto
Thomas Lukasiewicz
Philip H. S. Torr
Adel Bibi
AAML
45
0
0
22 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing
  Extreme Activations
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
Mohammad Azizmalayeri
Ameen Abu-Hanna
Giovanni Cina
OODD
47
1
0
21 May 2024
Linear Explanations for Individual Neurons
Linear Explanations for Individual Neurons
Tuomas P. Oikarinen
Tsui-Wei Weng
FAtt
MILM
31
6
0
10 May 2024
Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition
Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition
O. Kundacina
V. Vincan
D. Mišković
BDL
101
0
0
03 May 2024
Improving Automatic Text Recognition with Language Models in the PyLaia
  Open-Source Library
Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library
Solène Tarride
Yoann Schneider
Marie Generali-Lince
Mélodie Boillet
Bastien Abadie
Christopher Kermorvant
28
3
0
29 Apr 2024
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