A Markov Decision Process Approach to Active Meta Learning

10 September 2020

Papers citing "A Markov Decision Process Approach to Active Meta Learning"

17 / 17 papers shown

Title
UFO-BLO: Unbiased First-Order Bilevel Optimization Valerii Likhosherstov Xingyou Song K. Choromanski Jared Davis Adrian Weller 102 7 0 05 Jun 2020
Weighted Meta-Learning Diana Cai Rishit Sheth Lester W. Mackey Nicolò Fusi 86 12 0 20 Mar 2020
Meta-Learning without Memorization Mingzhang Yin George Tucker Mingyuan Zhou Sergey Levine Chelsea Finn VLM 48 187 0 09 Dec 2019
ES-MAML: Simple Hessian-Free Meta Learning Xingyou Song Wenbo Gao Yuxiang Yang K. Choromanski Aldo Pacchiano Yunhao Tang 109 118 0 25 Sep 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 102 855 0 10 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
The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning Suyun Liu Luis Nunes Vicente 109 73 0 10 Jul 2019
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks Matthew E. Peters Sebastian Ruder Noah A. Smith 76 437 0 14 Mar 2019
Meta-Curvature Eunbyung Park Junier B. Oliva BDL 52 124 0 09 Feb 2019
A Survey on Deep Transfer Learning Chuanqi Tan F. Sun Tao Kong Wenchang Zhang Chao Yang Chunfang Liu 66 2,586 0 06 Aug 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 176 727 0 13 Jun 2018
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning Tianhe Yu Chelsea Finn Annie Xie Sudeep Dasari Tianhao Zhang Pieter Abbeel Sergey Levine 64 360 0 05 Feb 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,899 0 09 Mar 2017
Comparative Study of CNN and RNN for Natural Language Processing Wenpeng Yin Katharina Kann Mo Yu Hinrich Schütze 67 987 0 07 Feb 2017
Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection Xianzhi Du Mostafa El-Khamy Jungwon Lee L. Davis 46 274 0 11 Oct 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 105 2,006 0 14 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 250 14,008 0 19 Nov 2015