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Multi-type Disentanglement without Adversarial Training
v1v2 (latest)

Multi-type Disentanglement without Adversarial Training

AAAI Conference on Artificial Intelligence (AAAI), 2020
16 December 2020
Lei Sha
Thomas Lukasiewicz
    DRL
ArXiv (abs)PDFHTML

Papers citing "Multi-type Disentanglement without Adversarial Training"

7 / 7 papers shown
Harnessing the Plug-and-Play Controller by Prompting
Harnessing the Plug-and-Play Controller by Prompting
Hao Wang
Lei Sha
302
5
0
06 Feb 2024
Text Attribute Control via Closed-Loop Disentanglement
Text Attribute Control via Closed-Loop DisentanglementTransactions of the Association for Computational Linguistics (TACL), 2023
Lei Sha
Thomas Lukasiewicz
DRL
250
3
0
01 Dec 2023
Correcting Flaws in Common Disentanglement Metrics
Correcting Flaws in Common Disentanglement Metrics
Louis Mahon
Lei Shah
Thomas Lukasiewicz
CoGeDRL
227
3
0
05 Apr 2023
Rationalizing Predictions by Adversarial Information Calibration
Rationalizing Predictions by Adversarial Information CalibrationArtificial Intelligence (AI), 2022
Lei Sha
Oana-Maria Camburu
Thomas Lukasiewicz
285
10
0
15 Jan 2023
Disentangling Generative Factors in Natural Language with Discrete
  Variational Autoencoders
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders
Giangiacomo Mercatali
André Freitas
CoGeDRL
260
28
0
15 Sep 2021
Controlling Text Edition by Changing Answers of Specific Questions
Controlling Text Edition by Changing Answers of Specific QuestionsFindings (Findings), 2021
Lei Sha
Patrick Hohenecker
Thomas Lukasiewicz
362
7
0
23 May 2021
Learning from the Best: Rationalizing Prediction by Adversarial
  Information Calibration
Learning from the Best: Rationalizing Prediction by Adversarial Information CalibrationAAAI Conference on Artificial Intelligence (AAAI), 2020
Lei Sha
Oana-Maria Camburu
Thomas Lukasiewicz
431
40
0
16 Dec 2020
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