CONCORD: Concept-Informed Diffusion for Dataset Distillation

23 May 2025

Vyacheslav Kungurtsev

Papers citing "CONCORD: Concept-Informed Diffusion for Dataset Distillation"

50 / 57 papers shown

Title
Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning Vyacheslav Kungurtsev Yuanfang Peng Jianyang Gu Saeed Vahidian Anthony Quinn Fadwa Idlahcen Yiran Chen FedML DD 71 2 0 02 Sep 2024
D $^4$ M: Dataset Distillation via Disentangled Diffusion Model Duo Su Junjie Hou Weizhi Gao Yingjie Tian Bowen Tang DD 62 24 0 21 Jul 2024
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation Aru Maekawa Satoshi Kosugi Kotaro Funakoshi Manabu Okumura DD 72 11 0 30 Mar 2024
Controlled Training Data Generation with Diffusion Models Teresa Yeo Andrei Atanov Harold Benoit Aleksandr Alekseev Ruchira Ray Pooya Esmaeil Akhoondi Amir Zamir 52 6 0 22 Mar 2024
Latent Dataset Distillation with Diffusion Models Brian B. Moser Federico Raue Sebastián M. Palacio Stanislav Frolov Andreas Dengel DD 63 16 0 06 Mar 2024
Group Distributionally Robust Dataset Distillation with Risk Minimization Saeed Vahidian Mingyu Wang Jianyang Gu Vyacheslav Kungurtsev Wei Jiang Yiran Chen OOD DD 50 6 0 07 Feb 2024
ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations Maitreya Patel Changhoon Kim Sheng Cheng Chitta Baral Yezhou Yang VLM 39 19 0 07 Dec 2023
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm Peng Sun Bei Shi Daiwei Yu Tao Lin DD 42 42 0 06 Dec 2023
Sequential Modeling Enables Scalable Learning for Large Vision Models Yutong Bai Xinyang Geng K. Mangalam Amir Bar Alan Yuille Trevor Darrell Jitendra Malik Alexei A. Efros MLLM VLM 40 158 0 01 Dec 2023
Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement Ziyu Wang Yue Xu Cewu Lu Yong-Lu Li DD 76 9 0 01 Dec 2023
Efficient Dataset Distillation via Minimax Diffusion Jianyang Gu Saeed Vahidian Vyacheslav Kungurtsev Haonan Wang Wei Jiang Yang You Yiran Chen DD 57 31 0 27 Nov 2023
Dataset Quantization Daquan Zhou Kaixin Wang Jianyang Gu Xiang Peng Dongze Lian Yifan Zhang Yang You Jiashi Feng DD 43 40 0 21 Aug 2023
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities Jin Chen Zheng Liu Xunpeng Huang Chenwang Wu Qi Liu ... Yuxuan Lei Xiaolong Chen Xingmei Wang Defu Lian Enhong Chen ALM 47 116 0 31 Jul 2023
Improved Distribution Matching for Dataset Condensation Ganlong Zhao Guanbin Li Yipeng Qin Yizhou Yu DD 43 88 0 19 Jul 2023
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective Zeyuan Yin Eric P. Xing Zhiqiang Shen DD 37 72 0 22 Jun 2023
Generalizing Dataset Distillation via Deep Generative Prior George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu DD 124 90 0 02 May 2023
DiM: Distilling Dataset into Generative Model Kai Wang Jianyang Gu Daquan Zhou Zheng Hua Zhu Wei Jiang Yang You DD 73 43 0 08 Mar 2023
DREAM: Efficient Dataset Distillation by Representative Matching Yanqing Liu Jianyang Gu Kai Wang Zheng Hua Zhu Wei Jiang Yang You DD 72 80 0 28 Feb 2023
LLaMA: Open and Efficient Foundation Language Models Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux ... Faisal Azhar Aurelien Rodriguez Armand Joulin Edouard Grave Guillaume Lample ALM PILM 471 12,840 0 27 Feb 2023
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 41 42 0 13 Feb 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 62 124 0 17 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 63 74 0 11 Jan 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 51 2,182 0 19 Dec 2022
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 59 135 0 19 Nov 2022
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 177 143 0 30 Oct 2022
Efficient Dataset Distillation Using Random Feature Approximation Noel Loo Ramin Hasani Alexander Amini Daniela Rus DD 101 99 0 21 Oct 2022
DiffEdit: Diffusion-based semantic image editing with mask guidance Guillaume Couairon Jakob Verbeek Holger Schwenk Matthieu Cord DiffM 103 490 0 20 Oct 2022
LAION-5B: An open large-scale dataset for training next generation image-text models Christoph Schuhmann Romain Beaumont Richard Vencu Cade Gordon Ross Wightman ... Srivatsa Kundurthy Katherine Crowson Ludwig Schmidt R. Kaczmarczyk J. Jitsev VLM MLLM CLIP 104 3,355 0 16 Oct 2022
Visual Classification via Description from Large Language Models Sachit Menon Carl Vondrick VLM 45 297 0 13 Oct 2022
Diffusion-based Image Translation using Disentangled Style and Content Representation Gihyun Kwon Jong Chul Ye DiffM 174 157 0 30 Sep 2022
Prompt-to-Prompt Image Editing with Cross Attention Control Amir Hertz Ron Mokady J. Tenenbaum Kfir Aberman Yael Pritch Daniel Cohen-Or DiffM 112 1,727 0 02 Aug 2022
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong Ruochen Wang Minhao Cheng Felix X. Yu Cho-Jui Hsieh FedML DD 64 83 0 20 Jul 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 58 154 0 01 Jun 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization Jang-Hyun Kim Jinuk Kim Seong Joon Oh Sangdoo Yun Hwanjun Song Joonhyun Jeong Jung-Woo Ha Hyun Oh Song DD 455 167 0 30 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 252 6,768 0 13 Apr 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 138 381 0 22 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 189 15,081 0 20 Dec 2021
A Fast Knowledge Distillation Framework for Visual Recognition Zhiqiang Shen Eric P. Xing VLM 20 47 0 02 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 348 7,600 0 11 Nov 2021
Dataset Condensation with Distribution Matching Bo Zhao Hakan Bilen DD 41 297 0 08 Oct 2021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Gwanghyun Kim Taesung Kwon Jong Chul Ye DiffM 120 634 0 06 Oct 2021
Dataset Distillation with Infinitely Wide Convolutional Networks Timothy Nguyen Roman Novak Lechao Xiao Jaehoon Lee DD 62 233 0 27 Jul 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 118 1,089 0 01 Jul 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 108 7,639 0 11 May 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 505 28,659 0 26 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 111 3,599 0 18 Feb 2021
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen Zhourung Chen Jaehoon Lee DD 109 242 0 30 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 153 40,217 0 22 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 80 7,166 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 206 17,550 0 19 Jun 2020