A Unified Approach to Coreset Learning

A Unified Approach to Coreset Learning

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021

4 November 2021

Margarita Osadchy

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Papers citing "A Unified Approach to Coreset Learning"

14 / 14 papers shown

Title
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples Shiva Sreeram Alaa Maalouf Pratyusha Sharma Daniela Rus 96 0 0 23 Oct 2025
To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models Julia Machnio Mads Nielsen Mostafa Mehdipour-Ghazi 98 0 0 21 Jul 2025
DataS^3: Dataset Subset Selection for Specialization Neha Hulkund Alaa Maalouf Levi Cai Daniel Yang Tsun-Hsuan Wang ... Ken Goldberg Hannah Kerner Irene Chen Yogesh A. Girdhar Sara Beery 221 2 0 22 Apr 2025
Data Selection for ERMsAnnual Conference Computational Learning Theory (COLT), 2025 Steve Hanneke Shay Moran Alexander Shlimovich Amir Yehudayoff 187 0 0 20 Apr 2025
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version David Campos Bin Yang Tung Kieu Miao Zhang Chenjuan Guo Christian S. Jensen 239 10 0 22 Apr 2024
One Category One Prompt: Dataset Distillation using Diffusion Models Ali Abbasi Ashkan Shahbazi Hamed Pirsiavash Soheil Kolouri DiffM DD 143 5 0 11 Mar 2024
Follow Anything: Open-set detection, tracking, and following in real-timeIEEE Robotics and Automation Letters (RA-L), 2023 Alaa Maalouf Ninad Jadhav Krishna Murthy Jatavallabhula Makram Chahine Daniel M.Vogt Robert J. Wood Antonio Torralba Daniela Rus 218 35 0 10 Aug 2023
Dataset Distillation Meets Provable Subset Selection M. Tukan Alaa Maalouf Margarita Osadchy DD 165 5 0 16 Jul 2023
On the Size and Approximation Error of Distilled Sets Alaa Maalouf M. Tukan Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 252 4 0 23 May 2023
Provable Data Subset Selection For Efficient Neural Network TrainingInternational Conference on Machine Learning (ICML), 2023 M. Tukan Samson Zhou Alaa Maalouf Daniela Rus Vladimir Braverman Dan Feldman MLT 105 13 0 09 Mar 2023
Deep Learning on Home Drone: Searching for the Optimal ArchitectureIEEE International Conference on Robotics and Automation (ICRA), 2022 Alaa Maalouf Yotam Gurfinkel Barak Diker O. Gal Daniela Rus Dan Feldman 105 6 0 21 Sep 2022
Pruning Neural Networks via Coresets and Convex Geometry: Towards No AssumptionsNeural Information Processing Systems (NeurIPS), 2022 M. Tukan Loay Mualem Alaa Maalouf 3DPC 175 26 0 18 Sep 2022
Exploring the Learning Difficulty of Data Theory and MeasureACM Transactions on Knowledge Discovery from Data (TKDD), 2022 Weiyao Zhu Ou Wu Fengguang Su Yingjun Deng 209 9 0 16 May 2022
Coresets for Data Discretization and Sine Wave FittingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Alaa Maalouf M. Tukan Eric Price Daniel Kane Dan Feldman 136 7 0 06 Mar 2022