Toward Understanding Generative Data Augmentation

27 May 2023

Papers citing "Toward Understanding Generative Data Augmentation"

19 / 19 papers shown

Title
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure? Charles Dawson Van Tran Max Z. Li Chuchu Fan 42 0 0 28 Feb 2025
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops Shi Fu Yingjie Wang Yuzhu Chen Xinmei Tian Dacheng Tao 48 1 0 26 Feb 2025
Generating Synthetic Electronic Health Record (EHR) Data: A Review with Benchmarking Xingran Chen Zhenke Wu Xu Shi Hyunghoon Cho Bhramar Mukherjee SyDa 26 1 0 06 Nov 2024
Local Lesion Generation is Effective for Capsule Endoscopy Image Data Augmentation in a Limited Data Setting Adrian B. Chłopowiec Adam R. Chłopowiec Krzysztof Galus Wojciech Cebula Martin Tabakov MedIm 33 0 0 05 Nov 2024
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models? Zeliang Zhang Xin Liang Mingqian Feng Susan Liang Chenliang Xu 34 1 0 14 Oct 2024
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective Zeyu Gan Yong Liu SyDa 39 1 0 02 Oct 2024
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models Guanting Dong K. Lu Chengpeng Li Tingyu Xia Bowen Yu Chang Zhou Jingren Zhou SyDa ALM LRM 47 13 0 19 Jun 2024
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data Grigor Bezirganyan Sana Sellami Laure Berti-Équille Sébastien Fournier 19 3 0 14 Jun 2024
Weights Augmentation: it has never ever ever ever let her model down Junbin Zhuang Guiguang Din Yunyi Yan 18 1 0 30 May 2024
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability Chenyu Zheng Wei Huang Rongzheng Wang Guoqiang Wu Jun Zhu Chongxuan Li 34 1 0 27 May 2024
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model Zhicai Wang Longhui Wei Tan Wang Heyu Chen Yanbin Hao Xiang Wang Xiangnan He Qi Tian VLM DiffM 27 16 0 28 Mar 2024
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 28 1 0 25 Oct 2023
Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices Peichun Li Hanwen Zhang Yuan Wu Liping Qian Rong Yu Dusit Niyato X. Shen 25 25 0 21 Oct 2023
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey Yunhao Chen Zihui Yan Yunjie Zhu 17 3 0 30 Sep 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale Fan Bao Shen Nie Kaiwen Xue Chongxuan Li Shiliang Pu Yaole Wang Gang Yue Yue Cao Hang Su Jun Zhu DiffM 199 148 0 12 Mar 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels Zebin You Yong Zhong Fan Bao Jiacheng Sun Chongxuan Li Jun Zhu DiffM VLM 198 35 0 21 Feb 2023
Convergence of score-based generative modeling for general data distributions Holden Lee Jianfeng Lu Yixin Tan DiffM 177 128 0 26 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 123 245 0 22 Sep 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,764 0 24 Feb 2021