Dataset Distillation with Convexified Implicit Gradients

13 February 2023

Noel Loo

Ramin Hasani

Mathias Lechner

Daniela Rus

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Papers citing "Dataset Distillation with Convexified Implicit Gradients"

37 / 37 papers shown

Title
Training-Free Dataset Pruning for Instance Segmentation Yalun Dai Lingao Xiao Ivor W. Tsang Yang He ISeg 38 0 0 02 Mar 2025
Variational Bayesian Pseudo-Coreset Hyungi Lee S. Lee Juho Lee BDL 31 0 0 28 Feb 2025
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios Kai Wang Zekai Li Zhi-Qi Cheng Samir Khaki A. Sajedi Ramakrishna Vedantam Konstantinos N. Plataniotis Alexander G. Hauptmann Yang You DD 62 4 0 22 Oct 2024
DRUPI: Dataset Reduction Using Privileged Information Shaobo Wang Yantai Yang Shuaiyu Zhang Chenghao Sun Weiya Li Xuming Hu Linfeng Zhang 25 0 0 02 Oct 2024
Label-Augmented Dataset Distillation Seoungyoon Kang Youngsun Lim Hyunjung Shim DD 25 2 0 24 Sep 2024
Prioritize Alignment in Dataset Distillation Zekai Li Ziyao Guo Wangbo Zhao Tianle Zhang Zhi-Qi Cheng ... Kaipeng Zhang A. Sajedi Konstantinos N Plataniotis Kai Wang Yang You DD 35 2 0 06 Aug 2024
Dataset Distillation by Automatic Training Trajectories Dai Liu Jindong Gu Hu Cao Carsten Trinitis Martin Schulz DD 20 10 0 19 Jul 2024
Mitigating Bias in Dataset Distillation Justin Cui Ruochen Wang Yuanhao Xiong Cho-Jui Hsieh DD 26 1 0 06 Jun 2024
Low-Rank Similarity Mining for Multimodal Dataset Distillation Yue Xu Zhilin Lin Yusong Qiu Cewu Lu Yong-Lu Li DD 36 3 0 06 Jun 2024
DANCE: Dual-View Distribution Alignment for Dataset Condensation Hansong Zhang Shikun Li Fanzhao Lin Weiping Wang Zhenxing Qian Shiming Ge DD 26 4 0 03 Jun 2024
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 25 3 0 02 May 2024
Distilling Datasets Into Less Than One Image Asaf Shul Eliahu Horwitz Yedid Hoshen DD 21 1 0 18 Mar 2024
Graph Data Condensation via Self-expressive Graph Structure Reconstruction Zhanyu Liu Chaolv Zeng Guanjie Zheng DD 52 10 0 12 Mar 2024
Dataset Condensation for Time Series Classification via Dual Domain Matching Zhanyu Liu Ke Hao Guanjie Zheng Yanwei Yu DD 55 5 0 12 Mar 2024
One Category One Prompt: Dataset Distillation using Diffusion Models Ali Abbasi Ashkan Shahbazi Hamed Pirsiavash Soheil Kolouri DiffM DD 27 3 0 11 Mar 2024
Multisize Dataset Condensation Yang He Lingao Xiao Joey Tianyi Zhou Ivor Tsang AI4CE DD 18 11 0 10 Mar 2024
Group Distributionally Robust Dataset Distillation with Risk Minimization Saeed Vahidian Mingyu Wang Jianyang Gu Vyacheslav Kungurtsev Wei Jiang Yiran Chen OOD DD 26 6 0 07 Feb 2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy Hansong Zhang Shikun Li Pengju Wang Dan Zeng Shiming Ge DD 19 21 0 26 Dec 2023
Adaptive Instrument Design for Indirect Experiments Yash Chandak Shiv Shankar Vasilis Syrgkanis Emma Brunskill 30 4 0 05 Dec 2023
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective Ming-Yu Chung Sheng-Yen Chou Chia-Mu Yu Pin-Yu Chen Sy-Yen Kuo Tsung-Yi Ho DD 29 6 0 28 Nov 2023
Efficient Dataset Distillation via Minimax Diffusion Jianyang Gu Saeed Vahidian Vyacheslav Kungurtsev Haonan Wang Wei Jiang Yang You Yiran Chen DD 27 26 0 27 Nov 2023
Embarassingly Simple Dataset Distillation Yunzhen Feng Ramakrishna Vedantam Julia Kempe DD 24 5 0 13 Nov 2023
You Only Condense Once: Two Rules for Pruning Condensed Datasets Yang He Lingao Xiao Joey Tianyi Zhou 17 13 0 21 Oct 2023
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models Shaokun Zhang Xiaobo Xia Zhaoqing Wang Ling-Hao Chen Jiale Liu Qingyun Wu Tongliang Liu 26 20 0 16 Oct 2023
Self-Supervised Dataset Distillation for Transfer Learning Dong Bok Lee Seanie Lee Joonho Ko Kenji Kawaguchi Juho Lee Sung Ju Hwang DD 27 3 0 10 Oct 2023
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching Ziyao Guo Kai Wang George Cazenavette Hui Li Kaipeng Zhang Yang You DD 16 61 0 09 Oct 2023
Distilled Pruning: Using Synthetic Data to Win the Lottery Luke McDermott Daniel Cummings SyDa DD 14 1 0 07 Jul 2023
On the Size and Approximation Error of Distilled Sets Alaa Maalouf M. Tukan Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 8 4 0 23 May 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 31 87 0 13 Jan 2023
Efficient Dataset Distillation Using Random Feature Approximation Noel Loo Ramin Hasani Alexander Amini Daniela Rus DD 64 95 0 21 Oct 2022
PyHopper -- Hyperparameter optimization Mathias Lechner Ramin Hasani Philipp Neubauer Sophie A. Neubauer Daniela Rus GP 11 4 0 10 Oct 2022
No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy" Nicholas Carlini Vitaly Feldman Milad Nasr DD 40 17 0 29 Sep 2022
Liquid Structural State-Space Models Ramin Hasani Mathias Lechner Tsun-Hsuan Wang Makram Chahine Alexander Amini Daniela Rus AI4TS 92 93 0 26 Sep 2022
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 189 219 0 16 Feb 2021
On The Verification of Neural ODEs with Stochastic Guarantees Sophie Gruenbacher Ramin Hasani Mathias Lechner J. Cyranka S. Smolka Radu Grosu 66 31 0 16 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014