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Uncertainty Estimation and Calibration with Finite-State Probabilistic
  RNNs

Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs

24 November 2020
Cheng Wang
Carolin (Haas) Lawrence
Mathias Niepert
    UQCV
ArXivPDFHTML

Papers citing "Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs"

12 / 12 papers shown
Title
Calibrating Verbalized Probabilities for Large Language Models
Calibrating Verbalized Probabilities for Large Language Models
Cheng Wang
Gyuri Szarvas
Georges Balazs
Pavel Danchenko
P. Ernst
15
0
0
09 Oct 2024
A Saliency-based Clustering Framework for Identifying Aberrant
  Predictions
A Saliency-based Clustering Framework for Identifying Aberrant Predictions
A. Tersol Montserrat
Alexander R. Loftus
Yael Daihes
12
0
0
11 Nov 2023
Calibration in Deep Learning: A Survey of the State-of-the-Art
Calibration in Deep Learning: A Survey of the State-of-the-Art
Cheng Wang
UQCV
31
36
0
02 Aug 2023
Calibrating a Deep Neural Network with Its Predecessors
Calibrating a Deep Neural Network with Its Predecessors
Linwei Tao
Minjing Dong
Daochang Liu
Changming Sun
Chang Xu
BDL
UQCV
12
5
0
13 Feb 2023
State-Regularized Recurrent Neural Networks to Extract Automata and
  Explain Predictions
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions
Cheng Wang
Carolin (Haas) Lawrence
Mathias Niepert
21
3
0
10 Dec 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the
  Impact of Method & Data Scarcity
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
Dennis Ulmer
J. Frellsen
Christian Hardmeier
185
22
0
20 Oct 2022
Transformer Uncertainty Estimation with Hierarchical Stochastic
  Attention
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention
Jiahuan Pei
Cheng-Yu Wang
Gyuri Szarvas
21
22
0
27 Dec 2021
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and
  Adversarial Examples in Android Malware Detection?
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection?
Deqiang Li
Tian Qiu
Shuo Chen
Qianmu Li
Shouhuai Xu
AAML
67
12
0
20 Sep 2021
Handling Long-Tail Queries with Slice-Aware Conversational Systems
Handling Long-Tail Queries with Slice-Aware Conversational Systems
Cheng Wang
Sun Kim
Taiwoo Park
Sajal Choudhary
Sunghyun Park
Young-Bum Kim
R. Sarikaya
Sungjin Lee
24
4
0
26 Apr 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
276
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
285
9,136
0
06 Jun 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
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