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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 / 1,084 papers shown
Title
A Theoretical and Practical Framework for Evaluating Uncertainty
  Calibration in Object Detection
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection
Pedro Conde
Rui L. Lopes
C. Premebida
UQCV
13
1
0
01 Sep 2023
Uncovering the Hidden Cost of Model Compression
Uncovering the Hidden Cost of Model Compression
Diganta Misra
Muawiz Chaudhary
Agam Goyal
Bharat Runwal
Pin-Yu Chen
VLM
33
0
0
29 Aug 2023
A Multi-Task Semantic Decomposition Framework with Task-specific
  Pre-training for Few-Shot NER
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER
Guanting Dong
Zechen Wang
Jinxu Zhao
Gang Zhao
Daichi Guo
...
Keqing He
Xuefeng Li
Liwen Wang
Xinyue Cui
Weiran Xu
37
19
0
28 Aug 2023
Are Existing Out-Of-Distribution Techniques Suitable for Network
  Intrusion Detection?
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection?
Andrea Corsini
S. Yang
OODD
AAML
23
7
0
28 Aug 2023
Distributionally Robust Statistical Verification with Imprecise Neural Networks
Distributionally Robust Statistical Verification with Imprecise Neural Networks
Souradeep Dutta
Michele Caprio
Vivian Lin
Matthew Cleaveland
Kuk Jin Jang
I. Ruchkin
O. Sokolsky
Insup Lee
OOD
AAML
49
7
0
28 Aug 2023
Uncertainty Estimation of Transformers' Predictions via Topological
  Analysis of the Attention Matrices
Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices
Elizaveta Kostenok
D. Cherniavskii
Alexey Zaytsev
56
5
0
22 Aug 2023
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
Tiberiu Sosea
Cornelia Caragea
14
12
0
17 Aug 2023
GRU-D-Weibull: A Novel Real-Time Individualized Endpoint Prediction
GRU-D-Weibull: A Novel Real-Time Individualized Endpoint Prediction
Xiaoyang Ruan
Liwei Wang
C. Thongprayoon
W. Cheungpasitporn
Hongfang Liu
OOD
15
2
0
14 Aug 2023
Uncertainty Quantification for Image-based Traffic Prediction across
  Cities
Uncertainty Quantification for Image-based Traffic Prediction across Cities
Alexander Timans
Nina Wiedemann
Nishant Kumar
Ye Hong
Martin Raubal
18
1
0
11 Aug 2023
Trusting Language Models in Education
Trusting Language Models in Education
J. Neto
Li-Ming Deng
Thejaswi Raya
Reza Shahbazi
Nick Liu
Adhitya Venkatesh
Miral Shah
Neeru Khosla
Rodrigo Guido
19
0
0
07 Aug 2023
Dimensionality Reduction for Improving Out-of-Distribution Detection in
  Medical Image Segmentation
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation
M. Woodland
Nihil Patel
Mais Al Taie
J. Yung
Tucker Netherton
Ankit B. Patel
Kristy K. Brock
OOD
30
6
0
07 Aug 2023
On the Calibration of Uncertainty Estimation in LiDAR-based Semantic
  Segmentation
On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation
M. Dreissig
Florian Piewak
Joschka Boedecker
UQCV
13
6
0
04 Aug 2023
Shape Completion with Prediction of Uncertain Regions
Shape Completion with Prediction of Uncertain Regions
Matthias Humt
Dominik Winkelbauer
Ulrich Hillenbrand
19
4
0
01 Aug 2023
Model Calibration in Dense Classification with Adaptive Label
  Perturbation
Model Calibration in Dense Classification with Adaptive Label Perturbation
Jiawei Liu
Changkun Ye
Shanpeng Wang
Rui-Qing Cui
Jing Zhang
Kai Zhang
Nick Barnes
47
5
0
25 Jul 2023
Rethinking Data Distillation: Do Not Overlook Calibration
Rethinking Data Distillation: Do Not Overlook Calibration
Dongyao Zhu
Bowen Lei
Jie M. Zhang
Yanbo Fang
Ruqi Zhang
Yiqun Xie
Dongkuan Xu
DD
FedML
23
15
0
24 Jul 2023
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
S. Landgraf
Markus Hillemann
Kira Wursthorn
Markus Ulrich
SSeg
UQCV
26
6
0
19 Jul 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
Hiroki Naganuma
Ryuichiro Hataya
Kotaro Yoshida
Ioannis Mitliagkas
OODD
92
1
0
17 Jul 2023
Boundary-weighted logit consistency improves calibration of segmentation
  networks
Boundary-weighted logit consistency improves calibration of segmentation networks
Neerav Karani
Neel Dey
Polina Golland
19
3
0
16 Jul 2023
Multimodal Distillation for Egocentric Action Recognition
Multimodal Distillation for Egocentric Action Recognition
Gorjan Radevski
Dusan Grujicic
Marie-Francine Moens
Matthew Blaschko
Tinne Tuytelaars
EgoV
23
23
0
14 Jul 2023
Unsupervised Calibration through Prior Adaptation for Text
  Classification using Large Language Models
Unsupervised Calibration through Prior Adaptation for Text Classification using Large Language Models
Lautaro Estienne
Luciana Ferrer
Matías Vera
Pablo Piantanida
VLM
34
1
0
13 Jul 2023
A Deep Active Contour Model for Delineating Glacier Calving Fronts
A Deep Active Contour Model for Delineating Glacier Calving Fronts
Konrad Heidler
Lichao Mou
Erik Loebel
M. Scheinert
Sébastien Lefèvre
Xiao Xiang Zhu
37
7
0
07 Jul 2023
Set Learning for Accurate and Calibrated Models
Set Learning for Accurate and Calibrated Models
Lukas Muttenthaler
Robert A. Vandermeulen
Qiuyi Zhang
Thomas Unterthiner
Klaus-Robert Muller
34
2
0
05 Jul 2023
Robots That Ask For Help: Uncertainty Alignment for Large Language Model
  Planners
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
Allen Z. Ren
Anushri Dixit
Alexandra Bodrova
Sumeet Singh
Stephen Tu
...
Jacob Varley
Zhenjia Xu
Dorsa Sadigh
Andy Zeng
Anirudha Majumdar
LM&Ro
55
219
0
04 Jul 2023
Robust Uncertainty Estimation for Classification of Maritime Objects
Robust Uncertainty Estimation for Classification of Maritime Objects
J. Becktor
Frederik E. T. Schöller
Evangelos Boukas
Lazaros Nalpantidis
UQCV
OOD
42
2
0
03 Jul 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty
  Quantification and Calibration
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration
Kemal Oksuz
Thomas Joy
P. Dokania
UQCV
20
16
0
03 Jul 2023
Quantifying lottery tickets under label noise: accuracy, calibration,
  and complexity
Quantifying lottery tickets under label noise: accuracy, calibration, and complexity
V. Arora
Daniele Irto
Sebastian Goldt
G. Sanguinetti
36
2
0
21 Jun 2023
Confidence-Based Model Selection: When to Take Shortcuts for
  Subpopulation Shifts
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts
Annie S. Chen
Yoonho Lee
Amrith Rajagopal Setlur
Sergey Levine
Chelsea Finn
OOD
16
5
0
19 Jun 2023
Scaling of Class-wise Training Losses for Post-hoc Calibration
Scaling of Class-wise Training Losses for Post-hoc Calibration
Seungjin Jung
Seung-Woo Seo
Yonghyun Jeong
Jongwon Choi
29
3
0
19 Jun 2023
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT
  Edge Nodes
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes
Francesco Daghero
Alessio Burrello
Enrico Macii
P. Montuschi
M. Poncino
Daniele Jahier Pagliari
18
4
0
16 Jun 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node
  Classification
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
22
24
0
16 Jun 2023
Overcoming the Limitations of Localization Uncertainty: Efficient &
  Exact Non-Linear Post-Processing and Calibration
Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration
Moussa Kassem Sbeyti
Michelle Karg
Christian Wirth
Azarm Nowzad
S. Albayrak
22
3
0
15 Jun 2023
Deep Model Compression Also Helps Models Capture Ambiguity
Deep Model Compression Also Helps Models Capture Ambiguity
Hancheol Park
Jong C. Park
27
1
0
12 Jun 2023
Probabilistic Multi-Dimensional Classification
Probabilistic Multi-Dimensional Classification
Vu-Linh Nguyen
Yang Yang
Cassio de Campos
27
1
0
10 Jun 2023
Stratification of uncertainties recalibrated by isotonic regression and
  its impact on calibration error statistics
Stratification of uncertainties recalibrated by isotonic regression and its impact on calibration error statistics
P. Pernot
14
4
0
08 Jun 2023
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap
Q. V. Liao
J. Vaughan
38
158
0
02 Jun 2023
On the Limitations of Temperature Scaling for Distributions with
  Overlaps
On the Limitations of Temperature Scaling for Distributions with Overlaps
Muthuraman Chidambaram
Rong Ge
UQCV
37
4
0
01 Jun 2023
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced
  Driver-Assistance System
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System
Jiwei Guan
Lei Pan
Chen Wang
Shui Yu
Longxiang Gao
Xi Zheng
AAML
19
3
0
30 May 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality
Beyond Confidence: Reliable Models Should Also Consider Atypicality
Mert Yuksekgonul
Linjun Zhang
James Zou
Carlos Guestrin
32
20
0
29 May 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
Zhen Zhang
Mengting Hu
Shiwan Zhao
Minlie Huang
Haotian Wang
Lemao Liu
Zhirui Zhang
Zhe Liu
Bingzhe Wu
EDL
38
10
0
29 May 2023
Federated Conformal Predictors for Distributed Uncertainty
  Quantification
Federated Conformal Predictors for Distributed Uncertainty Quantification
Charles Lu
Yaodong Yu
Sai Praneeth Karimireddy
Michael I. Jordan
Ramesh Raskar
FedML
34
21
0
27 May 2023
Context-aware attention layers coupled with optimal transport domain
  adaptation and multimodal fusion methods for recognizing dementia from
  spontaneous speech
Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speech
Loukas Ilias
D. Askounis
28
9
0
25 May 2023
How to Turn Your Knowledge Graph Embeddings into Generative Models
How to Turn Your Knowledge Graph Embeddings into Generative Models
Lorenzo Loconte
Nicola Di Mauro
Robert Peharz
Antonio Vergari
20
16
0
25 May 2023
Density Ratio Estimation-based Bayesian Optimization with
  Semi-Supervised Learning
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
Jungtaek Kim
32
1
0
24 May 2023
Sampling-based Uncertainty Estimation for an Instance Segmentation
  Network
Sampling-based Uncertainty Estimation for an Instance Segmentation Network
Florian Heidecker
A. El-khateeb
Bernhard Sick
UQCV
19
1
0
24 May 2023
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence
  Scores from Language Models Fine-Tuned with Human Feedback
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback
Katherine Tian
E. Mitchell
Allan Zhou
Archit Sharma
Rafael Rafailov
Huaxiu Yao
Chelsea Finn
Christopher D. Manning
51
284
0
24 May 2023
Utility-Probability Duality of Neural Networks
Utility-Probability Duality of Neural Networks
Bojun Huang
Fei Yuan
UQCV
27
1
0
24 May 2023
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude
  Pruning
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
Moonseok Choi
Hyungi Lee
G. Nam
Juho Lee
32
2
0
24 May 2023
Estimating Large Language Model Capabilities without Labeled Test Data
Estimating Large Language Model Capabilities without Labeled Test Data
Harvey Yiyun Fu
Qinyuan Ye
Albert Xu
Xiang Ren
Robin Jia
21
8
0
24 May 2023
Selective Pre-training for Private Fine-tuning
Selective Pre-training for Private Fine-tuning
Da Yu
Sivakanth Gopi
Janardhan Kulkarni
Zinan Lin
Saurabh Naik
Tomasz Religa
Jian Yin
Huishuai Zhang
35
19
0
23 May 2023
Dual Focal Loss for Calibration
Dual Focal Loss for Calibration
Linwei Tao
Minjing Dong
Chang Xu
UQCV
41
26
0
23 May 2023
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