Contributing Dimension Structure of Deep Feature for Coreset Selection

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Contributing Dimension Structure of Deep Feature for Coreset Selection

29 January 2024

Zheng Wang

Shiníchi Satoh

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Papers citing "Contributing Dimension Structure of Deep Feature for Coreset Selection"

10 / 10 papers shown

Title
Adaptive Second Order Coresets for Data-efficient Machine Learning Omead Brandon Pooladzandi David Davini Baharan Mirzasoleiman 94 64 0 28 Jul 2022
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning Krishnateja Killamsetty Guttu Sai Abhishek Aakriti A. Evfimievski Lucian Popa Ganesh Ramakrishnan Rishabh K. Iyer 49 26 0 15 Mar 2022
S $^3$ VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation Harsh Rangwani Arihant Jain Sumukh K Aithal R. Venkatesh Babu TTA 81 31 0 18 Sep 2021
Active Learning by Acquiring Contrastive Examples Katerina Margatina Giorgos Vernikos Loïc Barrault Nikolaos Aletras 78 192 0 08 Sep 2021
Deep Learning on a Data Diet: Finding Important Examples Early in Training Mansheej Paul Surya Ganguli Gintare Karolina Dziugaite 117 461 0 15 Jul 2021
Online Coreset Selection for Rehearsal-based Continual Learning Jaehong Yoon Divyam Madaan Eunho Yang Sung Ju Hwang CLL 72 144 0 02 Jun 2021
Submodular Combinatorial Information Measures with Applications in Machine Learning Rishabh K. Iyer Ninad Khargoankar J. Bilmes Himanshu Asanani 37 94 0 27 Jun 2020
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 128 741 0 12 Dec 2018
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent Trevor Campbell Tamara Broderick 66 137 0 05 Feb 2018
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,416 0 02 Dec 2015

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