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Machine Learning for Synthetic Data Generation: A Review

Machine Learning for Synthetic Data Generation: A Review

8 February 2023
Ying-Cheng Lu
Minjie Shen
Huazheng Wang
Xiao Wang
Capucine Van Rechem
Tianfan Fu
Wenqi Wei
    SyDa
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Papers citing "Machine Learning for Synthetic Data Generation: A Review"

26 / 76 papers shown
Title
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Wenqi Wei
Ling Liu
31
16
0
02 Feb 2024
Socially Aware Synthetic Data Generation for Suicidal Ideation Detection
  Using Large Language Models
Socially Aware Synthetic Data Generation for Suicidal Ideation Detection Using Large Language Models
Hamideh Ghanadian
I. Nejadgholi
Hussein Al Osman
SyDa
40
18
0
25 Jan 2024
FinLLMs: A Framework for Financial Reasoning Dataset Generation with
  Large Language Models
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models
Ziqiang Yuan
Kaiyuan Wang
Shoutai Zhu
Ye Yuan
Jingya Zhou
Yanlin Zhu
Wenqi Wei
42
5
0
19 Jan 2024
Uncertainty Quantification on Clinical Trial Outcome Prediction
Uncertainty Quantification on Clinical Trial Outcome Prediction
Tianyi Chen
Yingzhou Lu
Nan Hao
Capucine Van Rechem
Jintai Chen
Tianfan Fu
25
21
0
07 Jan 2024
Generative Model-Driven Synthetic Training Image Generation: An Approach
  to Cognition in Rail Defect Detection
Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Rail Defect Detection
Rahatara Ferdousi
Chunsheng Yang
M. Anwar Hossain
Fedwa Laamarti
M. S. Hossain
Abdulmotaleb El Saddik
19
0
0
31 Dec 2023
GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for
  High-Throughput Omics Data Analysis and Visualization
GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for High-Throughput Omics Data Analysis and Visualization
Yingzhou Lu
Minjie Shen
Yue Zhao
Chenhao Li
Fan Meng
Xiao Wang
David M. Herrington
Yue Wang
Tim Fu
Capucine Van Rechem
22
3
0
21 Dec 2023
SocialCounterfactuals: Probing and Mitigating Intersectional Social
  Biases in Vision-Language Models with Counterfactual Examples
SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
Phillip Howard
Avinash Madasu
Tiep Le
Gustavo Lujan Moreno
Anahita Bhiwandiwalla
Vasudev Lal
55
16
0
30 Nov 2023
SurvTimeSurvival: Survival Analysis On The Patient With Multiple
  Visits/Records
SurvTimeSurvival: Survival Analysis On The Patient With Multiple Visits/Records
Le Hung
Eng-Jon Ong
Miroslaw Bober
29
1
0
16 Nov 2023
SynDiffix: More accurate synthetic structured data
SynDiffix: More accurate synthetic structured data
Paul Francis
Cristian Berneanu
Edon Gashi
30
1
0
16 Nov 2023
TarGEN: Targeted Data Generation with Large Language Models
TarGEN: Targeted Data Generation with Large Language Models
Himanshu Gupta
Kevin Scaria
Ujjwala Anantheswaran
Shreyas Verma
Mihir Parmar
Saurabh Arjun Sawant
Chitta Baral
Swaroop Mishra
SyDa
32
8
0
27 Oct 2023
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A
  Comprehensive Benchmark
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark
Lasse Hansen
Nabeel Seedat
M. Schaar
Andrija Petrović
44
19
0
25 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era
AI-Generated Images as Data Source: The Dawn of Synthetic Era
Zuhao Yang
Fangneng Zhan
Kunhao Liu
Muyu Xu
Shijian Lu
EGVM
31
18
0
03 Oct 2023
Security and Privacy on Generative Data in AIGC: A Survey
Security and Privacy on Generative Data in AIGC: A Survey
Tao Wang
Yushu Zhang
Shuren Qi
Ruoyu Zhao
Zhihua Xia
Jian Weng
56
44
0
18 Sep 2023
Steering Language Generation: Harnessing Contrastive Expert Guidance and
  Negative Prompting for Coherent and Diverse Synthetic Data Generation
Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation
Charles OÑeill
Y. Ting 丁
I. Ciucă
Jack Miller
Thang Bui
SyDa
37
1
0
15 Aug 2023
ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG Data
ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG Data
Ruiqi Yang
Eric Modesitt
ViT
31
12
0
01 Aug 2023
Trends in Machine Learning and Electroencephalogram (EEG): A Review for
  Undergraduate Researchers
Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers
Nathaniel Murungi
Michael Vinh Pham
Xu-feng Dai
Xiaodong Qu
23
14
0
06 Jul 2023
Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic
  Contrast Sets
Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets
Brandon Smith
Miguel Farinha
S. Hall
Hannah Rose Kirk
Aleksandar Shtedritski
Max Bain
41
19
0
24 May 2023
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive
  Markov Model
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model
Haiming Wang
Zhikun Zhang
Tianhao Wang
Shibo He
Michael Backes
Jiming Chen
Yang Zhang
38
35
0
02 Oct 2022
Interpretable Molecular Graph Generation via Monotonic Constraints
Interpretable Molecular Graph Generation via Monotonic Constraints
Yuanqi Du
Xiaojie Guo
Amarda Shehu
Liang Zhao
63
19
0
28 Feb 2022
When do GANs replicate? On the choice of dataset size
When do GANs replicate? On the choice of dataset size
Qianli Feng
Chen Guo
Fabian Benitez-Quiroz
Aleix M. Martinez
142
54
0
23 Feb 2022
Differentially Private Fine-tuning of Language Models
Differentially Private Fine-tuning of Language Models
Da Yu
Saurabh Naik
A. Backurs
Sivakanth Gopi
Huseyin A. Inan
...
Y. Lee
Andre Manoel
Lukas Wutschitz
Sergey Yekhanin
Huishuai Zhang
134
347
0
13 Oct 2021
Robin Hood and Matthew Effects: Differential Privacy Has Disparate
  Impact on Synthetic Data
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
Georgi Ganev
Bristena Oprisanu
Emiliano De Cristofaro
37
57
0
23 Sep 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
290
1,815
0
14 Dec 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,212
0
23 Aug 2019
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,340
0
12 Feb 2018
Generating Multi-label Discrete Patient Records using Generative
  Adversarial Networks
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
E. Choi
Siddharth Biswal
B. Malin
J. Duke
Walter F. Stewart
Jimeng Sun
SyDa
GAN
156
569
0
19 Mar 2017
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