Submodular Meta-Learning

11 July 2020

Papers citing "Submodular Meta-Learning"

27 / 27 papers shown

Title
Task-Robust Model-Agnostic Meta-Learning Liam Collins Aryan Mokhtari Sanjay Shakkottai OOD 49 13 0 12 Feb 2020
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback Mingrui Zhang Lin Chen Hamed Hassani Amin Karbasi 25 51 0 28 Oct 2019
ES-MAML: Simple Hessian-Free Meta Learning Xingyou Song Wenbo Gao Yuxiang Yang K. Choromanski Aldo Pacchiano Yunhao Tang 106 118 0 25 Sep 2019
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms Alireza Fallah Aryan Mokhtari Asuman Ozdaglar 78 225 0 27 Aug 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 83 1,809 0 10 Apr 2019
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 65 774 0 22 Oct 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 277 501 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 258 670 0 07 Jun 2018
Data Summarization at Scale: A Two-Stage Submodular Approach Marko Mitrovic Ehsan Kazemi Morteza Zadimoghaddam Amin Karbasi 45 45 0 07 Jun 2018
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization Aryan Mokhtari Hamed Hassani Amin Karbasi 51 116 0 24 Apr 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 221 2,232 0 08 Mar 2018
Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity Lin Chen Christopher Harshaw Hamed Hassani Amin Karbasi 52 77 0 22 Feb 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 77 509 0 26 Jan 2018
Stochastic Submodular Maximization: The Case of Coverage Functions Mohammad Reza Karimi Mario Lucic S. Hassani Andreas Krause 104 56 0 05 Nov 2017
Gradient Methods for Submodular Maximization Hamed Hassani Mahdi Soltanolkotabi Amin Karbasi 36 133 0 13 Aug 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 285 8,129 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,866 0 09 Mar 2017
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 97 977 0 17 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 76 1,015 0 09 Nov 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 351 7,316 0 13 Jun 2016
Randomized Composable Core-sets for Distributed Submodular Maximization Vahab Mirrokni Morteza Zadimoghaddam 120 128 0 22 Jun 2015
The Power of Randomization: Distributed Submodular Maximization on Massive Datasets R. Barbosa Alina Ene Huy Le Nguyen Justin Ward 160 103 0 09 Feb 2015
Distributed Submodular Maximization Baharan Mirzasoleiman Amin Karbasi Rik Sarkar Andreas Krause 72 206 0 03 Nov 2014
Lazier Than Lazy Greedy Baharan Mirzasoleiman Ashwinkumar Badanidiyuru Amin Karbasi J. Vondrák Andreas Krause 83 406 0 28 Sep 2014
Online Submodular Maximization under a Matroid Constraint with Application to Learning Assignments Daniel Golovin Andreas Krause Matthew J. Streeter 42 47 0 03 Jul 2014
Learning Mixtures of Submodular Shells with Application to Document Summarization Hui-Ching Lin J. Bilmes 84 191 0 16 Oct 2012
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection Abhimanyu Das David Kempe 190 484 0 19 Feb 2011