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 348 3 0 02 Sep 2024
D $^4$ M: Dataset Distillation via Disentangled Diffusion Model Duo Su Junjie Hou Weizhi Gao Yingjie Tian Bowen Tang DD 285 52 0 21 Jul 2024
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation Aru Maekawa Satoshi Kosugi Kotaro Funakoshi Manabu Okumura DD 319 19 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 387 8 0 22 Mar 2024
Unlocking Dataset Distillation with Diffusion Models Brian B. Moser Federico Raue Sebastián M. Palacio Stanislav Frolov Andreas Dengel DD 562 21 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 328 9 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 241 24 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 349 91 0 06 Dec 2023
Sequential Modeling Enables Scalable Learning for Large Vision ModelsComputer Vision and Pattern Recognition (CVPR), 2023 Yutong Bai Xinyang Geng K. Mangalam Amir Bar Alan Yuille Trevor Darrell Jitendra Malik Alexei A. Efros MLLM VLM 332 225 0 01 Dec 2023
Dancing with Still Images: Video Distillation via Static-Dynamic DisentanglementComputer Vision and Pattern Recognition (CVPR), 2023 Ziyu Wang Yue Xu Cewu Lu Yong-Lu Li DD 308 20 0 01 Dec 2023
Efficient Dataset Distillation via Minimax DiffusionComputer Vision and Pattern Recognition (CVPR), 2023 Jianyang Gu Saeed Vahidian Vyacheslav Kungurtsev Haonan Wang Wei Jiang Yang You Yiran Chen DD 264 62 0 27 Nov 2023
Dataset QuantizationIEEE International Conference on Computer Vision (ICCV), 2023 Daquan Zhou Kaixin Wang Jianyang Gu Xiang Peng Dongze Lian Yifan Zhang Yang You Jiashi Feng DD 187 59 0 21 Aug 2023
When Large Language Models Meet Personalization: Perspectives of Challenges and OpportunitiesWorld wide web (Bussum) (WWWB), 2023 Jin Chen Zheng Liu Xunpeng Huang Chenwang Wu Qi Liu ... Yuxuan Lei Xiaolong Chen Xingmei Wang Defu Lian Enhong Chen ALM 250 243 0 31 Jul 2023
Improved Distribution Matching for Dataset CondensationComputer Vision and Pattern Recognition (CVPR), 2023 Ganlong Zhao Guanbin Li Yipeng Qin Yizhou Yu DD 234 136 0 19 Jul 2023
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New PerspectiveNeural Information Processing Systems (NeurIPS), 2023 Zeyuan Yin Eric P. Xing Zhiqiang Shen DD 359 121 0 22 Jun 2023
Generalizing Dataset Distillation via Deep Generative PriorComputer Vision and Pattern Recognition (CVPR), 2023 George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu DD 355 132 0 02 May 2023
DiM: Distilling Dataset into Generative Model Kai Wang Jianyang Gu Daquan Zhou Zheng Hua Zhu Wei Jiang Yang You DD 259 51 0 08 Mar 2023
DREAM: Efficient Dataset Distillation by Representative MatchingIEEE International Conference on Computer Vision (ICCV), 2023 Yanqing Liu Jianyang Gu Kai Wang Zheng Hua Zhu Wei Jiang Yang You DD 371 103 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 4.2K 17,584 0 27 Feb 2023
Dataset Distillation with Convexified Implicit GradientsInternational Conference on Machine Learning (ICML), 2023 Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 194 53 0 13 Feb 2023
Dataset Distillation: A Comprehensive ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Ruonan Yu Songhua Liu Xinchao Wang DD 342 168 0 17 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 356 95 0 11 Jan 2023
Scalable Diffusion Models with TransformersIEEE International Conference on Computer Vision (ICCV), 2022 William S. Peebles Saining Xie GNN 2.0K 4,164 0 19 Dec 2022
Scaling Up Dataset Distillation to ImageNet-1K with Constant MemoryInternational Conference on Machine Learning (ICML), 2022 Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 460 192 0 19 Nov 2022
Dataset Distillation via FactorizationNeural Information Processing Systems (NeurIPS), 2022 Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 351 165 0 30 Oct 2022
Efficient Dataset Distillation Using Random Feature ApproximationNeural Information Processing Systems (NeurIPS), 2022 Noel Loo Ramin Hasani Alexander Amini Daniela Rus DD 220 128 0 21 Oct 2022
DiffEdit: Diffusion-based semantic image editing with mask guidanceInternational Conference on Learning Representations (ICLR), 2022 Guillaume Couairon Jakob Verbeek Holger Schwenk Matthieu Cord DiffM 385 649 0 20 Oct 2022
LAION-5B: An open large-scale dataset for training next generation image-text modelsNeural Information Processing Systems (NeurIPS), 2022 Christoph Schuhmann Romain Beaumont Richard Vencu Cade Gordon Ross Wightman ... Srivatsa Kundurthy Katherine Crowson Ludwig Schmidt R. Kaczmarczyk J. Jitsev VLM MLLM CLIP 788 4,492 0 16 Oct 2022
Visual Classification via Description from Large Language ModelsInternational Conference on Learning Representations (ICLR), 2022 Sachit Menon Carl Vondrick VLM 362 366 0 13 Oct 2022
Diffusion-based Image Translation using Disentangled Style and Content RepresentationInternational Conference on Learning Representations (ICLR), 2022 Gihyun Kwon Jong Chul Ye DiffM 583 201 0 30 Sep 2022
Prompt-to-Prompt Image Editing with Cross Attention ControlInternational Conference on Learning Representations (ICLR), 2022 Amir Hertz Ron Mokady J. Tenenbaum Kfir Aberman Yael Pritch Daniel Cohen-Or DiffM 703 2,309 0 02 Aug 2022
FedDM: Iterative Distribution Matching for Communication-Efficient Federated LearningComputer Vision and Pattern Recognition (CVPR), 2022 Yuanhao Xiong Ruochen Wang Minhao Cheng Felix X. Yu Cho-Jui Hsieh FedML DD 239 104 0 20 Jul 2022
Dataset Distillation using Neural Feature RegressionNeural Information Processing Systems (NeurIPS), 2022 Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 347 196 0 01 Jun 2022
Dataset Condensation via Efficient Synthetic-Data ParameterizationInternational Conference on Machine Learning (ICML), 2022 Jang-Hyun Kim Jinuk Kim Seong Joon Oh Sangdoo Yun Hwanjun Song Joonhyun Jeong Jung-Woo Ha Hyun Oh Song DD 1.2K 209 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 1.0K 8,260 0 13 Apr 2022
Dataset Distillation by Matching Training TrajectoriesComputer Vision and Pattern Recognition (CVPR), 2022 George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 383 500 0 22 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2021 Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer DiffM 2.6K 20,839 0 20 Dec 2021
A Fast Knowledge Distillation Framework for Visual Recognition Zhiqiang Shen Eric P. Xing VLM 194 58 0 02 Dec 2021
Masked Autoencoders Are Scalable Vision LearnersComputer Vision and Pattern Recognition (CVPR), 2021 Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 2.3K 9,989 0 11 Nov 2021
Dataset Condensation with Distribution MatchingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Bo Zhao Hakan Bilen DD 518 399 0 08 Oct 2021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Gwanghyun Kim Taesung Kwon Jong Chul Ye DiffM 769 773 0 06 Oct 2021
Dataset Distillation with Infinitely Wide Convolutional NetworksNeural Information Processing Systems (NeurIPS), 2021 Timothy Nguyen Roman Novak Lechao Xiao Jaehoon Lee DD 476 275 0 27 Jul 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 843 1,351 0 01 Jul 2021
Diffusion Models Beat GANs on Image SynthesisNeural Information Processing Systems (NeurIPS), 2021 Prafulla Dhariwal Alex Nichol 2.5K 10,265 0 11 May 2021
Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021 Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 2.0K 40,760 0 26 Feb 2021
Improved Denoising Diffusion Probabilistic ModelsInternational Conference on Machine Learning (ICML), 2021 Alex Nichol Prafulla Dhariwal DiffM 692 4,677 0 18 Feb 2021
Dataset Meta-Learning from Kernel Ridge-RegressionInternational Conference on Learning Representations (ICLR), 2020 Timothy Nguyen Zhourung Chen Jaehoon Lee DD 597 289 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 1.4K 54,607 0 22 Oct 2020
Denoising Diffusion Implicit ModelsInternational Conference on Learning Representations (ICLR), 2020 Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 1.5K 10,154 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 4.8K 25,499 0 19 Jun 2020