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Ensemble Distillation for Structured Prediction: Calibrated, Accurate,
  Fast-Choose Three

Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast-Choose Three

13 October 2020
Steven Reich
David Mueller
Nicholas Andrews
    BDL
    OOD
    UQCV
ArXivPDFHTML

Papers citing "Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast-Choose Three"

6 / 6 papers shown
Title
Leveraging Topological Guidance for Improved Knowledge Distillation
Leveraging Topological Guidance for Improved Knowledge Distillation
Eun Som Jeon
Rahul Khurana
Aishani Pathak
P. Turaga
49
0
0
07 Jul 2024
Topological Persistence Guided Knowledge Distillation for Wearable
  Sensor Data
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data
Eun Som Jeon
Hongjun Choi
A. Shukla
Yuan Wang
Hyunglae Lee
M. Buman
P. Turaga
27
3
0
07 Jul 2024
Reducing Model Jitter: Stable Re-training of Semantic Parsers in
  Production Environments
Reducing Model Jitter: Stable Re-training of Semantic Parsers in Production Environments
Christopher Hidey
Fei Liu
Rahul Goel
21
4
0
10 Apr 2022
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDL
UQCV
OOD
32
1,109
0
07 Jul 2021
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
243
289
0
17 Mar 2020
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
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