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2101.06829
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Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models
18 January 2021
Tianxing He
Bryan McCann
Caiming Xiong
Ehsan Hosseini-Asl
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Papers citing
"Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models"
10 / 10 papers shown
Title
Entriever: Energy-based Retriever for Knowledge-Grounded Dialog Systems
Yucheng Cai
Ke Li
Y. Huang
Junlan Feng
Zhijian Ou
27
0
0
31 May 2025
Energy-based Preference Optimization for Test-time Adaptation
Yewon Han
Seoyun Yang
Taesup Kim
TTA
286
0
0
26 May 2025
LSEBMCL: A Latent Space Energy-Based Model for Continual Learning
Xiaodi Li
Dingcheng Li
Rujun Gao
Mahmoud Zamani
Latifur Khan
CLL
KELM
67
0
0
09 Jan 2025
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates
Dongfang Li
Baotian Hu
Qingcai Chen
49
8
0
06 Nov 2022
Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions
C. Ekbote
Moksh Jain
Payel Das
Yoshua Bengio
84
4
0
01 Nov 2022
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering
Violetta Shevchenko
Ehsan Abbasnejad
A. Dick
Anton Van Den Hengel
Damien Teney
71
0
0
29 Jun 2022
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting
Tomasz Korbak
Hady ElSahar
Germán Kruszewski
Marc Dymetman
CLL
105
57
0
01 Jun 2022
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency
Seohong Park
Cornelia Caragea
UQCV
60
37
0
14 Mar 2022
Sampling from Discrete Energy-Based Models with Quality/Efficiency Trade-offs
B. Eikema
Germán Kruszewski
Hady ElSahar
Marc Dymetman
69
3
0
10 Dec 2021
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
Will Grathwohl
Kevin Swersky
Milad Hashemi
David Duvenaud
Chris J. Maddison
BDL
84
97
0
08 Feb 2021
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