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Ensemble Distillation for Structured Prediction: Calibrated, Accurate,
  Fast-Choose Three
v1v2 (latest)

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

13 October 2020
Steven Reich
David Mueller
Nicholas Andrews
    BDLOODUQCV
ArXiv (abs)PDFHTML

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

8 / 8 papers shown
Leveraging Topological Guidance for Improved Knowledge Distillation
Leveraging Topological Guidance for Improved Knowledge Distillation
Eun Som Jeon
Rahul Khurana
Aishani Pathak
Pavan Turaga
236
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
Pavan Turaga
229
5
0
07 Jul 2024
Are Data Augmentation Methods in Named Entity Recognition Applicable for
  Uncertainty Estimation?
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?
Wataru Hashimoto
Hidetaka Kamigaito
Taro Watanabe
338
5
0
02 Jul 2024
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep
  Image Synthesis
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis
Soumya Dutta
Faheem Nizar
Ahmad Amaan
Ayan Acharya
AAML
299
2
0
22 May 2024
Model ensemble instead of prompt fusion: a sample-specific knowledge
  transfer method for few-shot prompt tuning
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuningInternational Conference on Learning Representations (ICLR), 2022
Xiangyu Peng
Chen Xing
Prafulla Kumar Choubey
Chien-Sheng Wu
Caiming Xiong
VLM
329
14
0
23 Oct 2022
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent
  Training
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent TrainingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yue Zhao
Yantao Shen
Yuanjun Xiong
Shuo Yang
Wei Xia
Zhuowen Tu
Bernt Shiele
Stefano Soatto
BDL
261
8
0
12 May 2022
Reducing Model Jitter: Stable Re-training of Semantic Parsers in
  Production Environments
Reducing Model Jitter: Stable Re-training of Semantic Parsers in Production EnvironmentsSIGDIAL Conferences (SIGDIAL), 2022
Christopher Hidey
Fei Liu
Rahul Goel
296
5
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
BDLUQCVOOD
685
1,678
0
07 Jul 2021
1
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