Learning to Optimize

6 June 2016

Papers citing "Learning to Optimize"

25 / 75 papers shown

Title
Meta-Learning Update Rules for Unsupervised Representation Learning Luke Metz Niru Maheswaranathan Brian Cheung Jascha Narain Sohl-Dickstein SSL OOD 85 123 0 31 Mar 2018
The Three Pillars of Machine Programming Justin Emile Gottschlich Armando Solar-Lezama Nesime Tatbul Michael Carbin Martin Rinard Regina Barzilay Saman P. Amarasinghe J. Tenenbaum Tim Mattson 76 63 0 20 Mar 2018
L4: Practical loss-based stepsize adaptation for deep learning Michal Rolínek Georg Martius ODL 177 64 0 14 Feb 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 102 510 0 26 Jan 2018
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments Maruan Al-Shedivat Trapit Bansal Yuri Burda Ilya Sutskever Igor Mordatch Pieter Abbeel CLL 79 354 0 10 Oct 2017
Neural Optimizer Search with Reinforcement Learning Irwan Bello Barret Zoph Vijay Vasudevan Quoc V. Le ODL 90 386 0 21 Sep 2017
Online Learning of a Memory for Learning Rates Franziska Meier Daniel Kappler S. Schaal 62 21 0 20 Sep 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 143 2,830 0 19 Aug 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning Zhenguo Li Fengwei Zhou Fei Chen Hang Li 101 1,124 0 31 Jul 2017
A Simple Neural Attentive Meta-Learner Nikhil Mishra Mostafa Rohaninejad Xi Chen Pieter Abbeel OOD 109 200 0 11 Jul 2017
Learning to Learn: Meta-Critic Networks for Sample Efficient Learning Flood Sung Li Zhang Tao Xiang Timothy M. Hospedales Yongxin Yang OffRL 76 129 0 29 Jun 2017
Bayesian Recurrent Neural Networks Meire Fortunato Charles Blundell Oriol Vinyals BDL 82 186 0 10 Apr 2017
Learning Combinatorial Optimization Algorithms over Graphs H. Dai Elias Boutros Khalil Yuyu Zhang B. Dilkina Le Song 134 1,483 0 05 Apr 2017
One-Shot Imitation Learning Yan Duan Marcin Andrychowicz Bradly C. Stadie Jonathan Ho Jonas Schneider Ilya Sutskever Pieter Abbeel Wojciech Zaremba OffRL 88 689 0 21 Mar 2017
Learning Gradient Descent: Better Generalization and Longer Horizons Kaifeng Lyu Shunhua Jiang Jian Li 110 114 0 10 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 853 11,995 0 09 Mar 2017
Meta Networks Tsendsuren Munkhdalai Hong-ye Yu GNN AI4CE 117 1,071 0 02 Mar 2017
Learning to Optimize Neural Nets Ke Li Jitendra Malik 100 132 0 01 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 309 1,549 0 25 Jan 2017
Learning to superoptimize programs - Workshop Version Rudy Bunel Alban Desmaison M. P. Kumar Philip Torr Pushmeet Kohli 143 10 0 04 Dec 2016
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 104 986 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 112 1,029 0 09 Nov 2016
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning Dilin Wang Qiang Liu GAN BDL 151 119 0 06 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 534 5,392 0 05 Nov 2016
Probabilistic Line Searches for Stochastic Optimization Maren Mahsereci Philipp Hennig ODL 98 126 0 10 Feb 2015