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Learning to Cascade: Confidence Calibration for Improving the Accuracy
  and Computational Cost of Cascade Inference Systems

Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems

AAAI Conference on Artificial Intelligence (AAAI), 2021
15 April 2021
Shohei Enomoto
Takeharu Eda
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems"

13 / 13 papers shown
Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models
Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language ModelsIEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2025
Chengyang He
Wenlong Zhang
Violet Chen
Yue Ning
Ping Wang
205
1
0
03 Apr 2025
Gatekeeper: Improving Model Cascades Through Confidence Tuning
Gatekeeper: Improving Model Cascades Through Confidence Tuning
Stephan Rabanser
Nathalie Rauschmayr
Achin Kulshrestha
Petra Poklukar
Wittawat Jitkrittum
Sean Augenstein
Congchao Wang
Federico Tombari
557
1
0
26 Feb 2025
What is the Role of Small Models in the LLM Era: A Survey
What is the Role of Small Models in the LLM Era: A Survey
Lihu Chen
Gaël Varoquaux
ALM
918
62
0
10 Sep 2024
Breaking the Ceiling of the LLM Community by Treating Token Generation
  as a Classification for Ensembling
Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for EnsemblingConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Yao-Ching Yu
Chun-Chih Kuo
Ziqi Ye
Yu-Cheng Chang
Yueh-Se Li
250
33
0
18 Jun 2024
Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference
  in Low Resource Settings
Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource SettingsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Daniel Rotem
Michael Hassid
Jonathan Mamou
Roy Schwartz
267
7
0
04 Jun 2023
Perception and Semantic Aware Regularization for Sequential Confidence
  Calibration
Perception and Semantic Aware Regularization for Sequential Confidence CalibrationComputer Vision and Pattern Recognition (CVPR), 2023
Zhenghua Peng
Yuanmao Luo
Tianshui Chen
Keke Xu
Shuangping Huang
AI4TS
406
4
0
31 May 2023
QuickNets: Saving Training and Preventing Overconfidence in Early-Exit
  Neural Architectures
QuickNets: Saving Training and Preventing Overconfidence in Early-Exit Neural Architectures
Devdhar Patel
H. Siegelmann
OnRL
225
1
0
25 Dec 2022
Turbo: Opportunistic Enhancement for Edge Video Analytics
Turbo: Opportunistic Enhancement for Edge Video AnalyticsACM International Conference on Embedded Networked Sensor Systems (SenSys), 2022
Yan Lu
Shiqi Jiang
Ting Cao
Yuanchao Shu
233
34
0
29 Jun 2022
CLCNet: Rethinking of Ensemble Modeling with Classification Confidence
  Network
CLCNet: Rethinking of Ensemble Modeling with Classification Confidence Network
Yaodong Yu
S. Horng
316
0
0
19 May 2022
Confidence Calibration for Intent Detection via Hyperspherical Space and
  Rebalanced Accuracy-Uncertainty Loss
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty LossAAAI Conference on Artificial Intelligence (AAAI), 2022
Yantao Gong
Cao Liu
Fan Yang
Xunliang Cai
Guanglu Wan
Jiansong Chen
Weipeng Zhang
Houfeng Wang
UQCV
233
4
0
17 Mar 2022
Hidden Heterogeneity: When to Choose Similarity-Based Calibration
Hidden Heterogeneity: When to Choose Similarity-Based Calibration
K. Wagstaff
Thomas G. Dietterich
314
1
0
03 Feb 2022
Task-Oriented Communication for Multi-Device Cooperative Edge Inference
Task-Oriented Communication for Multi-Device Cooperative Edge InferenceIEEE Transactions on Wireless Communications (IEEE TWC), 2021
Jiawei Shao
Yuyi Mao
Jun Zhang
333
189
0
01 Sep 2021
CascadeBERT: Accelerating Inference of Pre-trained Language Models via
  Calibrated Complete Models Cascade
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models CascadeConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Lei Li
Yankai Lin
Deli Chen
Shuhuai Ren
Peng Li
Jie Zhou
Xu Sun
285
59
0
29 Dec 2020
1
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