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Transformers as Neural Augmentors: Class Conditional Sentence Generation
  via Variational Bayes

Transformers as Neural Augmentors: Class Conditional Sentence Generation via Variational Bayes

19 May 2022
M. Bilici
M. Amasyalı
    ViT
ArXivPDFHTML

Papers citing "Transformers as Neural Augmentors: Class Conditional Sentence Generation via Variational Bayes"

25 / 25 papers shown
Title
Finetuning Pretrained Transformers into Variational Autoencoders
Finetuning Pretrained Transformers into Variational Autoencoders
Seongmin Park
Jihwa Lee
61
22
0
05 Aug 2021
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving
  Out-of-Domain Robustness
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness
Nathan Ng
Kyunghyun Cho
Marzyeh Ghassemi
71
145
0
21 Sep 2020
Generative Data Augmentation for Commonsense Reasoning
Generative Data Augmentation for Commonsense Reasoning
Yiben Yang
Chaitanya Malaviya
Jared Fernandez
Swabha Swayamdipta
Ronan Le Bras
Ji-ping Wang
Chandra Bhagavatula
Yejin Choi
Doug Downey
LRM
65
90
0
24 Apr 2020
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
Chunyuan Li
Xiang Gao
Yuan Li
Baolin Peng
Xiujun Li
Yizhe Zhang
Jianfeng Gao
SSL
DRL
74
182
0
05 Apr 2020
On Posterior Collapse and Encoder Feature Dispersion in Sequence VAEs
On Posterior Collapse and Encoder Feature Dispersion in Sequence VAEs
Teng Long
Yanshuai Cao
Jackie C.K. Cheung
40
6
0
10 Nov 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and
  lighter
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
223
7,498
0
02 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSL
AIMat
346
6,448
0
26 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
587
24,422
0
26 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
227
8,424
0
19 Jun 2019
Syntax-Infused Variational Autoencoder for Text Generation
Syntax-Infused Variational Autoencoder for Text Generation
Xinyuan Zhang
Yi Yang
Siyang Yuan
Dinghan Shen
Lawrence Carin
DRL
44
47
0
05 Jun 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text
  Classification Tasks
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
Jason W. Wei
Kai Zou
107
1,953
0
31 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.7K
94,729
0
11 Oct 2018
Molecular generative model based on conditional variational autoencoder
  for de novo molecular design
Molecular generative model based on conditional variational autoencoder for de novo molecular design
Jaechang Lim
Seongok Ryu
Jin Woo Kim
W. Kim
BDL
DRL
56
333
0
15 Jun 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
1.1K
7,154
0
20 Apr 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
677
131,414
0
12 Jun 2017
Learning Discourse-level Diversity for Neural Dialog Models using
  Conditional Variational Autoencoders
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
Tiancheng Zhao
Ran Zhao
M. Eskénazi
51
754
0
31 Mar 2017
Data Noising as Smoothing in Neural Network Language Models
Data Noising as Smoothing in Neural Network Language Models
Ziang Xie
Sida I. Wang
Jiwei Li
Daniel Levy
Allen Nie
Dan Jurafsky
A. Ng
54
238
0
07 Mar 2017
Toward Controlled Generation of Text
Toward Controlled Generation of Text
Zhiting Hu
Zichao Yang
Xiaodan Liang
Ruslan Salakhutdinov
Eric Xing
156
990
0
02 Mar 2017
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
872
27,350
0
02 Dec 2015
Improving Neural Machine Translation Models with Monolingual Data
Improving Neural Machine Translation Models with Monolingual Data
Rico Sennrich
Barry Haddow
Alexandra Birch
243
2,716
0
20 Nov 2015
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
105
2,359
0
19 Nov 2015
Character-level Convolutional Networks for Text Classification
Character-level Convolutional Networks for Text Classification
Xiang Zhang
Jiaqi Zhao
Yann LeCun
264
6,107
0
04 Sep 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.0K
23,338
0
03 Jun 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
441
16,940
0
20 Dec 2013
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