Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data

17 December 2019

Jeff Clune

Papers citing "Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data"

39 / 39 papers shown

Title
Leveraging Multi-Modal Information to Enhance Dataset Distillation Zhe Li Hadrien Reynaud Bernhard Kainz DD 45 0 0 13 May 2025
Dataset Distillation with Probabilistic Latent Features Zhe Li Sarah Cechnicka C. Ouyang Katharina Breininger Peter J. Schüffler Bernhard Kainz DD 47 0 0 10 May 2025
Video Dataset Condensation with Diffusion Models Zhe Li Hadrien Reynaud Mischa Dombrowski Sarah Cechnicka Franciskus Xaverius Erick Bernhard Kainz DD VGen 52 0 0 10 May 2025
Evolution Meets Diffusion: Efficient Neural Architecture Generation Bingye Zhou Caiyang Yu DiffM 51 0 0 24 Apr 2025
A Large-Scale Study on Video Action Dataset Condensation Yang Chen Sheng Guo Bo Zheng Limin Wang DD 81 2 0 13 Mar 2025
Elucidating the Design Space of Dataset Condensation Shitong Shao Zikai Zhou Huanran Chen Zhiqiang Shen DD 54 7 0 20 Jan 2025
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 47 3 0 02 May 2024
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation Aru Maekawa Satoshi Kosugi Kotaro Funakoshi Manabu Okumura DD 39 10 0 30 Mar 2024
Group Distributionally Robust Dataset Distillation with Risk Minimization Saeed Vahidian Mingyu Wang Jianyang Gu Vyacheslav Kungurtsev Wei Jiang Yiran Chen OOD DD 33 6 0 07 Feb 2024
Disentangled Condensation for Large-scale Graphs Zhenbang Xiao Shunyu Liu Yu Wang Tongya Zheng Mingli Song Mingli Song Tongya Zheng DD 78 6 0 18 Jan 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
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories Jiyuan Shen Wenzhuo Yang Kwok-Yan Lam DD 29 1 0 16 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 46 59 0 29 Sep 2023
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness Zongxiong Chen Jiahui Geng Derui Zhu Herbert Woisetschlaeger Qing Li Sonja Schimmler Ruben Mayer Chunming Rong DD 26 9 0 05 May 2023
Proximal Curriculum for Reinforcement Learning Agents Georgios Tzannetos Bárbara Gomes Ribeiro Parameswaran Kamalaruban Adish Singla 27 5 0 25 Apr 2023
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 31 41 0 13 Feb 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 50 121 0 17 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 31 87 0 13 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 45 73 0 11 Jan 2023
Accelerating Dataset Distillation via Model Augmentation Lei Zhang Jie M. Zhang Bowen Lei Subhabrata Mukherjee Xiang Pan Bo-Lu Zhao Caiwen Ding Y. Li Dongkuan Xu DD 40 62 0 12 Dec 2022
General-Purpose In-Context Learning by Meta-Learning Transformers Louis Kirsch James Harrison Jascha Narain Sohl-Dickstein Luke Metz 34 72 0 08 Dec 2022
Dataset Condensation with Latent Space Knowledge Factorization and Sharing Haebeom Lee Dong Bok Lee Sung Ju Hwang DD 21 37 0 21 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 47 82 0 20 Jul 2022
Betty: An Automatic Differentiation Library for Multilevel Optimization Sang Keun Choe W. Neiswanger P. Xie Eric P. Xing AI4CE 31 30 0 05 Jul 2022
Privacy for Free: How does Dataset Condensation Help Privacy? Tian Dong Bo-Lu Zhao Lingjuan Lyu DD 20 113 0 01 Jun 2022
Synthesizing Informative Training Samples with GAN Bo-Lu Zhao Hakan Bilen DD 26 74 0 15 Apr 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 58 363 0 22 Mar 2022
Improving the Level of Autism Discrimination through GraphRNN Link Prediction Haonan Sun Q. He Shouliang Qi Yudong Yao Yueyang Teng 22 0 0 19 Feb 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search Jay P. Gala P. Xie 29 1 0 01 Dec 2021
Learning by Examples Based on Multi-level Optimization Shentong Mo P. Xie 21 0 0 22 Sep 2021
Generative Conversational Networks Alexandros Papangelis Karthik Gopalakrishnan Aishwarya Padmakumar Seokhwan Kim Gökhan Tür Dilek Z. Hakkani-Tür 19 18 0 15 Jun 2021
Learning by Passing Tests, with Application to Neural Architecture Search Xuefeng Du Haochen Zhang P. Xie 18 4 0 30 Nov 2020
Neural Crossbreed: Neural Based Image Metamorphosis Sanghun Park Kwanggyoon Seo Jun-yong Noh 17 4 0 02 Sep 2020
Dataset Condensation with Gradient Matching Bo-Lu Zhao Konda Reddy Mopuri Hakan Bilen DD 36 472 0 10 Jun 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 253 656 0 23 Mar 2020
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 498 0 24 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,684 0 09 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016