Meta-Learning with Warped Gradient Descent

30 August 2019

Papers citing "Meta-Learning with Warped Gradient Descent"

50 / 52 papers shown

Title
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun Luo 149 2 0 28 Jan 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance Jialong Guo Ke Liu Jiangchao Yao Zhihua Wang Jiajun Bu Haishuai Wang AI4TS 88 1 0 20 Jan 2025
Rethinking Meta-Learning from a Learning Lens Wenwen Qiang Jingyao Wang Chuxiong Sun Hui Xiong Jiangmeng Li 113 2 0 13 Sep 2024
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity Thomas Miconi Aditya Rawal Jeff Clune Kenneth O. Stanley 69 90 0 24 Feb 2020
Meta-Learning Representations for Continual Learning Khurram Javed Martha White KELM CLL 77 319 0 29 May 2019
Meta-Learning with Differentiable Convex Optimization Kwonjoon Lee Subhransu Maji Avinash Ravichandran Stefano Soatto 91 1,267 0 07 Apr 2019
Guided Meta-Policy Search Russell Mendonca Abhishek Gupta Rosen Kralev Pieter Abbeel Sergey Levine Chelsea Finn 40 57 0 01 Apr 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 78 653 0 19 Mar 2019
Meta-Curvature Eunbyung Park Junier B. Oliva BDL 50 124 0 09 Feb 2019
Transferring Knowledge across Learning Processes Sebastian Flennerhag Pablo G. Moreno Neil D. Lawrence Andreas C. Damianou 43 64 0 03 Dec 2018
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 65 774 0 22 Oct 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 132 1,370 0 16 Jul 2018
Uncertainty in Multitask Transfer Learning Alexandre Lacoste Boris N. Oreshkin Wonchang Chung Thomas Boquet Negar Rostamzadeh David M. Krueger BDL UQCV SSL 92 21 0 20 Jun 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
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 93 1,312 0 23 May 2018
Breaking the Activation Function Bottleneck through Adaptive Parameterization Sebastian Flennerhag Hujun Yin J. Keane Mark Elliot 36 12 0 22 May 2018
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 59 1,129 0 25 Apr 2018
Differentiable plasticity: training plastic neural networks with backpropagation Thomas Miconi Jeff Clune Kenneth O. Stanley AI4CE 56 154 0 06 Apr 2018
Meta-Learning Update Rules for Unsupervised Representation Learning Luke Metz Niru Maheswaranathan Brian Cheung Jascha Narain Sohl-Dickstein SSL OOD 66 123 0 31 Mar 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 221 2,229 0 08 Mar 2018
Understanding Short-Horizon Bias in Stochastic Meta-Optimization Yuhuai Wu Mengye Ren Renjie Liao Roger C. Grosse 79 137 0 06 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 65 1,282 0 02 Mar 2018
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization Sanjeev Arora Nadav Cohen Elad Hazan 95 483 0 19 Feb 2018
Deep Meta-Learning: Learning to Learn in the Concept Space Fengwei Zhou Bin Wu Zhenguo Li SSL 54 123 0 10 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
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace Yoonho Lee Seungjin Choi 46 27 0 17 Jan 2018
Rapid Adaptation with Conditionally Shifted Neurons Tsendsuren Munkhdalai Xingdi Yuan Soroush Mehri Adam Trischler 53 13 0 28 Dec 2017
FiLM: Visual Reasoning with a General Conditioning Layer Ethan Perez Florian Strub H. D. Vries Vincent Dumoulin Aaron Courville FAtt AIMat OffRL AI4CE 312 2,202 0 22 Sep 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning Zhenguo Li Fengwei Zhou Fei Chen Hang Li 92 1,116 0 31 Jul 2017
Few-Shot Image Recognition by Predicting Parameters from Activations Siyuan Qiao Chenxi Liu Wei Shen Alan Yuille VLM 65 555 0 12 Jun 2017
Fast-Slow Recurrent Neural Networks Asier Mujika Florian Meier Angelika Steger 70 77 0 24 May 2017
Learning multiple visual domains with residual adapters Sylvestre-Alvise Rebuffi Hakan Bilen Andrea Vedaldi OOD 129 931 0 22 May 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching Sang-Woo Lee Jin-Hwa Kim Jaehyun Jun Jung-Woo Ha Byoung-Tak Zhang CLL 68 674 0 24 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 265 8,114 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 798 11,866 0 09 Mar 2017
Universal representations:The missing link between faces, text, planktons, and cat breeds Hakan Bilen Andrea Vedaldi 66 147 0 25 Jan 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 95 977 0 17 Nov 2016
Using Fast Weights to Attend to the Recent Past Jimmy Ba Geoffrey E. Hinton Volodymyr Mnih Joel Z Leibo Catalin Ionescu 61 271 0 20 Oct 2016
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 123 1,622 0 27 Sep 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 277 4,391 0 29 Jun 2016
Learning feed-forward one-shot learners Luca Bertinetto João F. Henriques Jack Valmadre Philip Torr Andrea Vedaldi 57 472 0 16 Jun 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 99 2,004 0 14 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 331 7,313 0 13 Jun 2016
Learning to Optimize Ke Li Jitendra Malik 58 258 0 06 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.8K 193,426 0 10 Dec 2015
Natural Neural Networks Guillaume Desjardins Karen Simonyan Razvan Pascanu Koray Kavukcuoglu 79 176 0 01 Jul 2015
Optimizing Neural Networks with Kronecker-factored Approximate Curvature James Martens Roger C. Grosse ODL 95 1,009 0 19 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 407 43,234 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.3K 149,842 0 22 Dec 2014
A Stochastic Quasi-Newton Method for Large-Scale Optimization R. Byrd Samantha Hansen J. Nocedal Y. Singer ODL 102 471 0 27 Jan 2014