Data Summarization via Bilevel Optimization

Data Summarization via Bilevel Optimization

26 September 2021

Marco Tagliasacchi

Papers citing "Data Summarization via Bilevel Optimization"

18 / 18 papers shown

Title
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling David Grangier Simin Fan Skyler Seto Pierre Ablin 85 4 0 30 Sep 2024
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization M. D. Santis Jordan Frécon Francesco Rinaldi Saverio Salzo Martin Schmidt Martin Schmidt 69 0 0 21 Aug 2023
Instance-Optimal Compressed Sensing via Posterior Sampling A. Jalal Sushrut Karmalkar A. Dimakis Eric Price 35 52 0 21 Jun 2021
Semi-supervised Batch Active Learning via Bilevel Optimization Zalan Borsos Marco Tagliasacchi Andreas Krause 117 23 0 19 Oct 2020
Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels Shuang Song David Berthelot Afshin Rostamizadeh 50 33 0 02 Dec 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 98 409 0 06 Nov 2019
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 95 723 0 12 Dec 2018
Task-Free Continual Learning Rahaf Aljundi Klaas Kelchtermans Tinne Tuytelaars CLL 109 357 0 10 Dec 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 159 4,326 0 24 Jun 2018
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent Trevor Campbell Tamara Broderick 57 137 0 05 Feb 2018
Automated Scalable Bayesian Inference via Hilbert Coresets Trevor Campbell Tamara Broderick 54 127 0 13 Oct 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning Zhenguo Li Fengwei Zhou Fei Chen Hang Li 66 1,114 0 31 Jul 2017
Practical Coreset Constructions for Machine Learning Olivier Bachem Mario Lucic Andreas Krause 49 185 0 19 Mar 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 134 2,854 0 14 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 752 11,793 0 09 Mar 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 258 7,410 0 02 Dec 2016
iCub World: Friendly Robots Help Building Good Vision Data-Sets S. Fanello C. Ciliberto M. Santoro Lorenzo Natale Giorgio Metta Lorenzo Rosasco Francesca Odone 54 26 0 15 Jun 2013
A Unified Framework for Approximating and Clustering Data Dan Feldman M. Langberg 115 457 0 07 Jun 2011