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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 / 3,763 papers shown
Beyond Confidence: Reliable Models Should Also Consider Atypicality
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Carlos Guestrin
257
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Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in
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Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Shuai Zhao
Xiaohan Wang
Linchao Zhu
Yezhou Yang
VLM
322
39
0
29 May 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
E-NER: Evidential Deep Learning for Trustworthy Named Entity RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Zhen Zhang
Mengting Hu
Shiwan Zhao
Shiyu Huang
Mengting Hu
Lemao Liu
Zhirui Zhang
Yanfeng Guo
Bingzhe Wu
EDL
245
16
0
29 May 2023
T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for
  OOD Detection
T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection
Sudarshan Regmi
Bibek Panthi
S. Dotel
P. Gyawali
Danail Stoynov
Binod Bhattarai
OODD
165
4
0
28 May 2023
Training Private Models That Know What They Don't Know
Training Private Models That Know What They Don't KnowNeural Information Processing Systems (NeurIPS), 2023
Stephan Rabanser
Anvith Thudi
Abhradeep Thakurta
Krishnamurthy Dvijotham
Nicolas Papernot
224
9
0
28 May 2023
Speech Intelligibility Assessment of Dysarthric Speech by using Goodness
  of Pronunciation with Uncertainty Quantification
Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty QuantificationInterspeech (Interspeech), 2023
Eunjung Yeo
Kwanghee Choi
Sunhee Kim
Minhwa Chung
139
11
0
28 May 2023
Reward Collapse in Aligning Large Language Models
Reward Collapse in Aligning Large Language ModelsJournal of Data Science (JDS), 2023
Ziang Song
Tianle Cai
Jason D. Lee
Weijie J. Su
ALM
243
27
0
28 May 2023
Federated Conformal Predictors for Distributed Uncertainty
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Federated Conformal Predictors for Distributed Uncertainty QuantificationInternational Conference on Machine Learning (ICML), 2023
Charles Lu
Yaodong Yu
Sai Praneeth Karimireddy
Michael I. Jordan
Ramesh Raskar
FedML
316
36
0
27 May 2023
Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient
  In-Memory Computing
Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory ComputingDesign Automation Conference (DAC), 2023
Yuhang Li
Abhishek Moitra
Tamar Geller
Priyadarshini Panda
139
26
0
27 May 2023
SR-OOD: Out-of-Distribution Detection via Sample Repairing
SR-OOD: Out-of-Distribution Detection via Sample Repairing
Ruiyong Sun
Andi Zhang
Haiming Zhang
Jinke Ren
Yao Zhu
Ruimao Zhang
Shuguang Cui
Zhen Li
OODD
242
2
0
26 May 2023
Improving Neural Additive Models with Bayesian Principles
Improving Neural Additive Models with Bayesian PrinciplesInternational Conference on Machine Learning (ICML), 2023
Kouroche Bouchiat
Alexander Immer
Hugo Yèche
Gunnar Rätsch
Vincent Fortuin
BDLMedIm
599
11
0
26 May 2023
Calibration of Transformer-based Models for Identifying Stress and
  Depression in Social Media
Calibration of Transformer-based Models for Identifying Stress and Depression in Social MediaIEEE Transactions on Computational Social Systems (IEEE TCSS), 2023
Loukas Ilias
S. Mouzakitis
D. Askounis
230
74
0
26 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 speechKnowledge-Based Systems (KBS), 2023
Loukas Ilias
D. Askounis
225
21
0
25 May 2023
Exploiting Noise as a Resource for Computation and Learning in Spiking
  Neural Networks
Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks
Gehua (Marcus) Ma
Rui Yan
Huajin Tang
472
35
0
25 May 2023
Triplet Knowledge Distillation
Triplet Knowledge Distillation
Xijun Wang
Dongyang Liu
Meina Kan
Chunrui Han
Zhongqin Wu
Shiguang Shan
131
3
0
25 May 2023
How to Turn Your Knowledge Graph Embeddings into Generative Models
How to Turn Your Knowledge Graph Embeddings into Generative ModelsNeural Information Processing Systems (NeurIPS), 2023
Lorenzo Loconte
Nicola Di Mauro
Robert Peharz
Antonio Vergari
347
24
0
25 May 2023
Characterizing Out-of-Distribution Error via Optimal Transport
Characterizing Out-of-Distribution Error via Optimal TransportNeural Information Processing Systems (NeurIPS), 2023
Yuzhe Lu
Yilong Qin
Runtian Zhai
Andrew Shen
Ketong Chen
Zhenlin Wang
Soheil Kolouri
Simon Stepputtis
Joseph Campbell
Katia Sycara
OODD
255
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25 May 2023
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods
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How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural NetworksConference on Uncertainty in Artificial Intelligence (UAI), 2023
L. F. P. Cattelan
Danilo Silva
UQCV
425
9
0
24 May 2023
Self-Evolution Learning for Discriminative Language Model Pretraining
Self-Evolution Learning for Discriminative Language Model PretrainingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Qihuang Zhong
Liang Ding
Juhua Liu
Bo Du
Dacheng Tao
210
12
0
24 May 2023
ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000
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ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet CategoriesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Heming Xia
Qingxiu Dong
Lei Li
Jingjing Xu
Tianyu Liu
Ziwei Qin
Zhifang Sui
MLLMVLM
173
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Sampling-based Uncertainty Estimation for an Instance Segmentation
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Florian Heidecker
A. El-khateeb
Bernhard Sick
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176
1
0
24 May 2023
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence
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Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human FeedbackConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Katherine Tian
E. Mitchell
Allan Zhou
Archit Sharma
Rafael Rafailov
Huaxiu Yao
Chelsea Finn
Christopher D. Manning
457
531
0
24 May 2023
Utility-Probability Duality of Neural Networks
Utility-Probability Duality of Neural Networks
Bojun Huang
Fei Yuan
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271
2
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Sparse Weight Averaging with Multiple Particles for Iterative Magnitude
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Sparse Weight Averaging with Multiple Particles for Iterative Magnitude PruningInternational Conference on Learning Representations (ICLR), 2023
Moonseok Choi
Hyungi Lee
G. Nam
Juho Lee
271
4
0
24 May 2023
Estimating Large Language Model Capabilities without Labeled Test Data
Estimating Large Language Model Capabilities without Labeled Test DataConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Harvey Yiyun Fu
Qinyuan Ye
Albert Xu
Xiang Ren
Robin Jia
272
10
0
24 May 2023
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak
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Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Chengyu Dong
Zihan Wang
Jingbo Shang
274
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AutoDepthNet: High Frame Rate Depth Map Reconstruction using Commodity
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AutoDepthNet: High Frame Rate Depth Map Reconstruction using Commodity Depth and RGB Cameras
Peyman Gholami
R. Xiao
3DHMDE
260
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SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to
  Rank
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to RankConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Dheeraj Mekala
Adithya Samavedhi
Chengyu Dong
Jingbo Shang
OODD
181
3
0
24 May 2023
Selectively Answering Ambiguous Questions
Selectively Answering Ambiguous QuestionsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
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Michael J.Q. Zhang
D. Gillick
Julian Martin Eisenschlos
Bhuwan Dhingra
Jacob Eisenstein
UQLM
493
49
0
24 May 2023
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
Jungtaek Kim
540
1
0
24 May 2023
Uncertainty Quantification over Graph with Conformalized Graph Neural
  Networks
Uncertainty Quantification over Graph with Conformalized Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2023
Kexin Huang
Ying Jin
Emmanuel Candès
J. Leskovec
550
84
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Automatic Model Selection with Large Language Models for Reasoning
Automatic Model Selection with Large Language Models for ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
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Yuxi Xie
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234
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Sustainable Edge Intelligence Through Energy-Aware Early Exiting
Sustainable Edge Intelligence Through Energy-Aware Early ExitingInternational Workshop on Machine Learning for Signal Processing (MLSP), 2023
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Can Large Language Models Capture Dissenting Human Voices?
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338
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Dual Focal Loss for Calibration
Dual Focal Loss for CalibrationInternational Conference on Machine Learning (ICML), 2023
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Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for
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Distribution-Free Model-Agnostic Regression Calibration via
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