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SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox
  Models

SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models

5 March 2021
Zhen Lin
Cao Xiao
Lucas Glass
M. P. M. Brandon Westover
Jimeng Sun
    BDL
ArXivPDFHTML

Papers citing "SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models"

10 / 10 papers shown
Title
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of
  LLMs
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs
Shuang Ao
Stefan Rueger
Advaith Siddharthan
28
1
0
05 Jun 2024
Contextualized Sequence Likelihood: Enhanced Confidence Scores for
  Natural Language Generation
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation
Zhen Lin
Shubhendu Trivedi
Jimeng Sun
16
1
0
03 Jun 2024
Mitigating LLM Hallucinations via Conformal Abstention
Mitigating LLM Hallucinations via Conformal Abstention
Yasin Abbasi-Yadkori
Ilja Kuzborskij
David Stutz
András György
Adam Fisch
...
Wei-Hung Weng
Yao-Yuan Yang
Csaba Szepesvári
A. Cemgil
Nenad Tomašev
HILM
30
12
0
04 Apr 2024
Generating with Confidence: Uncertainty Quantification for Black-box
  Large Language Models
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
Zhen Lin
Shubhendu Trivedi
Jimeng Sun
HILM
21
128
0
30 May 2023
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
Zhen Lin
Shubhendu Trivedi
Cao Xiao
Jimeng Sung
25
2
0
02 Feb 2023
Calibrated Selective Classification
Calibrated Selective Classification
Adam Fisch
Tommi Jaakkola
Regina Barzilay
21
16
0
25 Aug 2022
Machine Learning with a Reject Option: A survey
Machine Learning with a Reject Option: A survey
Kilian Hendrickx
Lorenzo Perini
Dries Van der Plas
Wannes Meert
Jesse Davis
MU
25
121
0
23 Jul 2021
Locally Valid and Discriminative Prediction Intervals for Deep Learning
  Models
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
Zhen Lin
Shubhendu Trivedi
Jimeng Sun
16
20
0
01 Jun 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
249
9,134
0
06 Jun 2015
1