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Diffusion-LM Improves Controllable Text Generation

Diffusion-LM Improves Controllable Text Generation

27 May 2022
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
    AI4CE
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Papers citing "Diffusion-LM Improves Controllable Text Generation"

44 / 94 papers shown
Title
A Text-guided Protein Design Framework
A Text-guided Protein Design Framework
Shengchao Liu
Yanjing Li
Zhuoxinran Li
A. Gitter
Yutao Zhu
...
Arvind Ramanathan
Chaowei Xiao
Jian Tang
Hongyu Guo
Anima Anandkumar
101
63
0
09 Feb 2023
Photorealistic Text-to-Image Diffusion Models with Deep Language
  Understanding
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia
William Chan
Saurabh Saxena
Lala Li
Jay Whang
...
Raphael Gontijo-Lopes
Tim Salimans
Jonathan Ho
David J Fleet
Mohammad Norouzi
VLM
404
6,012
0
23 May 2022
OPT: Open Pre-trained Transformer Language Models
OPT: Open Pre-trained Transformer Language Models
Susan Zhang
Stephen Roller
Naman Goyal
Mikel Artetxe
Moya Chen
...
Daniel Simig
Punit Singh Koura
Anjali Sridhar
Tianlu Wang
Luke Zettlemoyer
VLM
OSLM
AI4CE
324
3,655
0
02 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLM
DiffM
377
6,859
0
13 Apr 2022
PaLM: Scaling Language Modeling with Pathways
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
...
Kathy Meier-Hellstern
Douglas Eck
J. Dean
Slav Petrov
Noah Fiedel
PILM
LRM
471
6,231
0
05 Apr 2022
COLD Decoding: Energy-based Constrained Text Generation with Langevin
  Dynamics
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics
Lianhui Qin
Sean Welleck
Daniel Khashabi
Yejin Choi
AI4CE
92
149
0
23 Feb 2022
Autoregressive Diffusion Models
Autoregressive Diffusion Models
Emiel Hoogeboom
Alexey A. Gritsenko
Jasmijn Bastings
Ben Poole
Rianne van den Berg
Tim Salimans
DiffM
76
153
0
05 Oct 2021
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential
  Equations
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Chenlin Meng
Yutong He
Yang Song
Jiaming Song
Jiajun Wu
Jun-Yan Zhu
Stefano Ermon
DiffM
134
1,485
0
02 Aug 2021
Structured Denoising Diffusion Models in Discrete State-Spaces
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin
Daniel D. Johnson
Jonathan Ho
Daniel Tarlow
Rianne van den Berg
DiffM
148
936
0
07 Jul 2021
Variational Diffusion Models
Variational Diffusion Models
Diederik P. Kingma
Tim Salimans
Ben Poole
Jonathan Ho
DiffM
170
1,120
0
01 Jul 2021
On Fast Sampling of Diffusion Probabilistic Models
On Fast Sampling of Diffusion Probabilistic Models
Zhifeng Kong
Ming-Yu Liu
DiffM
78
198
0
31 May 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
213
7,831
0
11 May 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and
  Anti-Experts
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
Alisa Liu
Maarten Sap
Ximing Lu
Swabha Swayamdipta
Chandra Bhagavatula
Noah A. Smith
Yejin Choi
MU
102
371
0
07 May 2021
FUDGE: Controlled Text Generation With Future Discriminators
FUDGE: Controlled Text Generation With Future Discriminators
Kevin Kaichuang Yang
Dan Klein
93
332
0
12 Apr 2021
Symbolic Music Generation with Diffusion Models
Symbolic Music Generation with Diffusion Models
Gautam Mittal
Jesse Engel
Curtis Hawthorne
Ian Simon
MGen
DiffM
84
193
0
30 Mar 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
329
3,675
0
18 Feb 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
330
6,453
0
26 Nov 2020
Back to the Future: Unsupervised Backprop-based Decoding for
  Counterfactual and Abductive Commonsense Reasoning
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning
Lianhui Qin
Vered Shwartz
Peter West
Chandra Bhagavatula
Jena D. Hwang
Ronan Le Bras
Antoine Bosselut
Yejin Choi
OffRL
LRM
107
80
0
12 Oct 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
252
7,356
0
06 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong
Ming-Yu Liu
Jiaji Huang
Kexin Zhao
Bryan Catanzaro
DiffM
BDL
141
1,456
0
21 Sep 2020
GeDi: Generative Discriminator Guided Sequence Generation
GeDi: Generative Discriminator Guided Sequence Generation
Ben Krause
Akhilesh Deepak Gotmare
Bryan McCann
N. Keskar
Shafiq Joty
R. Socher
Nazneen Rajani
117
406
0
14 Sep 2020
WaveGrad: Estimating Gradients for Waveform Generation
WaveGrad: Estimating Gradients for Waveform Generation
Nanxin Chen
Yu Zhang
Heiga Zen
Ron J. Weiss
Mohammad Norouzi
William Chan
DiffM
BDL
64
791
0
02 Sep 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
586
18,036
0
19 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
743
41,932
0
28 May 2020
Enabling Language Models to Fill in the Blanks
Enabling Language Models to Fill in the Blanks
Chris Donahue
Mina Lee
Percy Liang
39
197
0
11 May 2020
A Study of Non-autoregressive Model for Sequence Generation
A Study of Non-autoregressive Model for Sequence Generation
Yi Ren
Jinglin Liu
Xu Tan
Zhou Zhao
Sheng Zhao
Tie-Yan Liu
76
61
0
22 Apr 2020
Non-Autoregressive Machine Translation with Latent Alignments
Non-Autoregressive Machine Translation with Latent Alignments
Chitwan Saharia
William Chan
Saurabh Saxena
Mohammad Norouzi
46
158
0
16 Apr 2020
Plug and Play Language Models: A Simple Approach to Controlled Text
  Generation
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Sumanth Dathathri
Andrea Madotto
Janice Lan
Jane Hung
Eric Frank
Piero Molino
J. Yosinski
Rosanne Liu
KELM
127
969
0
04 Dec 2019
CTRL: A Conditional Transformer Language Model for Controllable
  Generation
CTRL: A Conditional Transformer Language Model for Controllable Generation
N. Keskar
Bryan McCann
Lav Varshney
Caiming Xiong
R. Socher
AI4CE
115
1,239
0
11 Sep 2019
FlowSeq: Non-Autoregressive Conditional Sequence Generation with
  Generative Flow
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
Xuezhe Ma
Chunting Zhou
Xian Li
Graham Neubig
Eduard H. Hovy
AI4TS
BDL
48
191
0
05 Sep 2019
Abductive Commonsense Reasoning
Abductive Commonsense Reasoning
Chandra Bhagavatula
Ronan Le Bras
Chaitanya Malaviya
Keisuke Sakaguchi
Ari Holtzman
Hannah Rashkin
Doug Downey
Scott Yih
Yejin Choi
ReLM
LRM
72
460
0
15 Aug 2019
The Curious Case of Neural Text Degeneration
The Curious Case of Neural Text Degeneration
Ari Holtzman
Jan Buys
Li Du
Maxwell Forbes
Yejin Choi
182
3,175
0
22 Apr 2019
Insertion Transformer: Flexible Sequence Generation via Insertion
  Operations
Insertion Transformer: Flexible Sequence Generation via Insertion Operations
Mitchell Stern
William Chan
J. Kiros
Jakob Uszkoreit
KELM
74
250
0
08 Feb 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
94,770
0
11 Oct 2018
Semi-Autoregressive Neural Machine Translation
Semi-Autoregressive Neural Machine Translation
Chunqi Wang
Ji Zhang
Haiqing Chen
59
88
0
26 Aug 2018
Constituency Parsing with a Self-Attentive Encoder
Constituency Parsing with a Self-Attentive Encoder
Nikita Kitaev
Dan Klein
73
542
0
02 May 2018
Fast Decoding in Sequence Models using Discrete Latent Variables
Fast Decoding in Sequence Models using Discrete Latent Variables
Łukasz Kaiser
Aurko Roy
Ashish Vaswani
Niki Parmar
Samy Bengio
Jakob Uszkoreit
Noam M. Shazeer
56
232
0
09 Mar 2018
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative
  Refinement
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement
Jason D. Lee
Elman Mansimov
Kyunghyun Cho
DiffM
BDL
60
456
0
19 Feb 2018
Non-Autoregressive Neural Machine Translation
Non-Autoregressive Neural Machine Translation
Jiatao Gu
James Bradbury
Caiming Xiong
Victor O.K. Li
R. Socher
97
795
0
07 Nov 2017
The E2E Dataset: New Challenges For End-to-End Generation
The E2E Dataset: New Challenges For End-to-End Generation
Jekaterina Novikova
Ondrej Dusek
Verena Rieser
87
459
0
28 Jun 2017
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
687
131,526
0
12 Jun 2017
A Corpus and Evaluation Framework for Deeper Understanding of
  Commonsense Stories
A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories
N. Mostafazadeh
Nathanael Chambers
Xiaodong He
Devi Parikh
Dhruv Batra
Lucy Vanderwende
Pushmeet Kohli
James F. Allen
125
711
0
06 Apr 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDa
DiffM
290
6,931
0
12 Mar 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
450
16,940
0
20 Dec 2013
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