On First-Order Meta-Learning Algorithms

8 March 2018

Papers citing "On First-Order Meta-Learning Algorithms"

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Title
Edge-labeling Graph Neural Network for Few-shot Learning Jongmin Kim Taesup Kim Sungwoong Kim Chang D. Yoo 19 452 0 04 May 2019
Learning Meta Model for Zero- and Few-shot Face Anti-spoofing Yunxiao Qin Chenxu Zhao Xiangyu Zhu Zezheng Wang Zitong Yu Tianyu Fu Feng Zhou Jingping Shi Zhen Lei CVBM 24 115 0 29 Apr 2019
ACE: Adapting to Changing Environments for Semantic Segmentation Zuxuan Wu Xin Wang Joseph E. Gonzalez Tom Goldstein L. Davis OOD 11 101 0 12 Apr 2019
MxML: Mixture of Meta-Learners for Few-Shot Classification Minseop Park Jungtaek Kim Saehoon Kim Yanbin Liu Seungjin Choi OODD 23 8 0 11 Apr 2019
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout Heda Song M. Torres Ender Ozcan I. Triguero 14 8 0 08 Apr 2019
Actively Seeking and Learning from Live Data Damien Teney Anton Van Den Hengel OOD 32 21 0 05 Apr 2019
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization Michael Volpp Lukas P. Frohlich Kirsten Fischer Andreas Doerr Stefan Falkner Frank Hutter Christian Daniel 10 84 0 04 Apr 2019
Comparison Network for One-Shot Conditional Object Detection Tengfei Zhang Yue Zhang Xian Sun Hao Sun M. Yan Xue Yang Kun Fu ObjD 37 23 0 04 Apr 2019
Dense Classification and Implanting for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard Andrei Bursuc VLM 11 197 0 12 Mar 2019
Provable Guarantees for Gradient-Based Meta-Learning M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 27 147 0 27 Feb 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner Stephan Günnemann OOD AAML GNN 28 564 0 22 Feb 2019
Adaptive Cross-Modal Few-Shot Learning Chen Xing Negar Rostamzadeh Boris N. Oreshkin Pedro H. O. Pinheiro 31 271 0 19 Feb 2019
Meta-Curvature Eunbyung Park Junier B. Oliva BDL 13 122 0 09 Feb 2019
Feature-Critic Networks for Heterogeneous Domain Generalization Yiying Li Yongxin Yang Wei Zhou Timothy M. Hospedales OOD 17 253 0 31 Jan 2019
Learning and Evaluating General Linguistic Intelligence Dani Yogatama Cyprien de Masson dÁutume Jerome T. Connor Tomás Kociský Mike Chrzanowski ... Angeliki Lazaridou Wang Ling Lei Yu Chris Dyer Phil Blunsom ELM AI4CE 13 209 0 31 Jan 2019
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms Yoshua Bengio T. Deleu Nasim Rahaman Nan Rosemary Ke Sébastien Lachapelle O. Bilaniuk Anirudh Goyal C. Pal CML OOD 46 332 0 30 Jan 2019
FIGR: Few-shot Image Generation with Reptile Louis Clouâtre Marc Demers GAN VLM 11 95 0 08 Jan 2019
Exploring applications of deep reinforcement learning for real-world autonomous driving systems V. Talpaert Ibrahim Sobh Ravi Kiran Patrick Mannion S. Yogamani Ahmad El-Sallab P. Pérez 18 74 0 06 Jan 2019
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies Alexander Sax Bradley Emi Amir Zamir Leonidas J. Guibas Silvio Savarese Jitendra Malik SSL 31 16 0 31 Dec 2018
An Investigation of Few-Shot Learning in Spoken Term Classification Yangbin Chen Tom Ko Lifeng Shang Xiao Chen Xin Jiang Qing Li 13 7 0 26 Dec 2018
Meta Architecture Search Albert Eaton Shaw Wei Wei Weiyang Liu Le Song Bo Dai BDL 23 35 0 22 Dec 2018
Modular meta-learning in abstract graph networks for combinatorial generalization Ferran Alet Maria Bauzá Alberto Rodriguez Tomas Lozano-Perez L. Kaelbling GNN 19 3 0 19 Dec 2018
Learning Private Neural Language Modeling with Attentive Aggregation Shaoxiong Ji Shirui Pan Guodong Long Xue Li Jing Jiang Zi Huang FedML MoMe 16 136 0 17 Dec 2018
MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer Chi Zhang Yixin Zhu Song-Chun Zhu 21 30 0 13 Dec 2018
Prior-Knowledge and Attention-based Meta-Learning for Few-Shot Learning Yunxiao Qin Weiguo Zhang Chenxu Zhao Zezheng Wang Xiangyu Zhu Guojun Qi Jingping Shi Zhen Lei 27 24 0 11 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 53 657 0 10 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 51 1,393 0 03 Dec 2018
Transferring Knowledge across Learning Processes Sebastian Flennerhag Pablo G. Moreno Neil D. Lawrence Andreas C. Damianou 21 64 0 03 Dec 2018
Cross-Modulation Networks for Few-Shot Learning Hugo Prol Vincent Dumoulin Luis Herranz 33 15 0 01 Dec 2018
Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem Steven G. McDonagh Sarah Parisot Fengwei Zhou Xingzhi Zhang A. Leonardis Zhenguo Li Greg Slabaugh 8 8 0 28 Nov 2018
One-Shot Instance Segmentation Claudio Michaelis Ivan Ustyuzhaninov Matthias Bethge Alexander S. Ecker ISeg 31 89 0 28 Nov 2018
RelationNet2: Deep Comparison Columns for Few-Shot Learning Xueting Zhang Yuting Qiang Flood Sung Yongxin Yang Timothy M. Hospedales 30 18 0 17 Nov 2018
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 12 769 0 22 Oct 2018
Gradient Agreement as an Optimization Objective for Meta-Learning Amir Erfan Eshratifar David Eigen Massoud Pedram 16 11 0 18 Oct 2018
ProMP: Proximal Meta-Policy Search Jonas Rothfuss Dennis Lee I. Clavera Tamim Asfour Pieter Abbeel 21 209 0 16 Oct 2018
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 23 756 0 08 Oct 2018
Generalization and Regularization in DQN Jesse Farebrother Marlos C. Machado Michael Bowling 25 203 0 29 Sep 2018
A Meta-Learning Approach for Custom Model Training Amir Erfan Eshratifar M. Abrishami David Eigen Massoud Pedram 21 6 0 21 Sep 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 19 224 0 14 Sep 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning Isac Arnekvist Danica Kragic J. A. Stork OffRL 17 37 0 10 Sep 2018
Transfer Learning for Estimating Causal Effects using Neural Networks Sören R. Künzel Bradly C. Stadie N. Vemuri V. Ramakrishnan Jasjeet Sekhon Pieter Abbeel CML 8 32 0 23 Aug 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas L. Griffiths 26 68 0 12 Jul 2018
Modular meta-learning Ferran Alet Tomás Lozano-Pérez L. Kaelbling OffRL 16 120 0 26 Jun 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 202 498 0 11 Jun 2018
Meta Continual Learning Risto Vuorio D.-Y. Cho Daejoong Kim Jiwon Kim CLL 11 28 0 11 Jun 2018
Auto-Meta: Automated Gradient Based Meta Learner Search Jaehong Kim Sangyeul Lee Sungwan Kim Moonsu Cha Jung Kwon Lee Youngduck Choi Yongseok Choi Dong-Yeon Cho Jiwon Kim AI4CE 17 39 0 11 Jun 2018
Fingerprint Policy Optimisation for Robust Reinforcement Learning Supratik Paul Michael A. Osborne Shimon Whiteson 24 18 0 27 May 2018
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning Yanbin Liu Juho Lee Minseop Park Saehoon Kim Eunho Yang Sung Ju Hwang Yi Yang 20 666 0 25 May 2018
Multi-task Maximum Entropy Inverse Reinforcement Learning Adam Gleave Oliver Habryka 30 39 0 22 May 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip H. S. Torr Andrea Vedaldi ODL 14 920 0 21 May 2018