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Adversarial Text Generation Without Reinforcement Learning

Adversarial Text Generation Without Reinforcement Learning

11 October 2018
David Donahue
Anna Rumshisky
    GAN
ArXivPDFHTML

Papers citing "Adversarial Text Generation Without Reinforcement Learning"

11 / 11 papers shown
Title
VicSim: Enhancing Victim Simulation with Emotional and Linguistic Fidelity
Yerong Li
Yiren Liu
Yun Huang
51
0
0
06 Jan 2025
Forging the Forger: An Attempt to Improve Authorship Verification via
  Data Augmentation
Forging the Forger: An Attempt to Improve Authorship Verification via Data Augmentation
Silvia Corbara
Alejandro Moreo
AAML
41
0
0
17 Mar 2024
A survey on text generation using generative adversarial networks
A survey on text generation using generative adversarial networks
Gustavo de Rosa
João Paulo Papa
GAN
35
89
0
20 Dec 2022
OptAGAN: Entropy-based finetuning on text VAE-GAN
OptAGAN: Entropy-based finetuning on text VAE-GAN
Paolo Tirotta
Stefano Lodi
DRL
11
0
0
01 Sep 2021
Regularizing Transformers With Deep Probabilistic Layers
Regularizing Transformers With Deep Probabilistic Layers
Aurora Cobo Aguilera
Pablo Martínez Olmos
Antonio Artés-Rodríguez
Fernando Pérez-Cruz
41
7
0
23 Aug 2021
OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation
OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation
Petro Marek
V. Naik
Vincent Auvray
Anuj Kumar Goyal
30
32
0
06 Apr 2021
Claim Verification using a Multi-GAN based Model
Claim Verification using a Multi-GAN based Model
Amartya Hatua
Arjun Mukherjee
Rakesh M. Verma
SyDa
28
2
0
14 Mar 2021
A Generic Framework for Clustering Vehicle Motion Trajectories
A Generic Framework for Clustering Vehicle Motion Trajectories
F. Hoseini
Sadegh Rahrovani
M. Chehreghani
14
4
0
25 Sep 2020
A Deep Learning Framework for Generation and Analysis of Driving
  Scenario Trajectories
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories
A. Demetriou
Henrik Alfsvåg
Sadegh Rahrovani
Morteza Haghir Chehreghani
27
37
0
28 Jul 2020
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
Xiaowen Chu
22
1,423
0
02 Aug 2019
M2H-GAN: A GAN-based Mapping from Machine to Human Transcripts for
  Speech Understanding
M2H-GAN: A GAN-based Mapping from Machine to Human Transcripts for Speech Understanding
Titouan Parcollet
Mohamed Morchid
Xavier Bost
G. Linarès
GAN
17
2
0
13 Apr 2019
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