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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

9 March 2017

Pieter Abbeel

Papers citing "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

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Title
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer Zohreh Raziei Mohsen Moghaddam 77 25 0 27 Nov 2020
Meta-learning in natural and artificial intelligence Jane X. Wang 92 114 0 26 Nov 2020
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes P. Holderrieth M. Hutchinson Yee Whye Teh BDL 110 30 0 25 Nov 2020
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem Eric Liang Zhanghao Wu Michael Luo Sven Mika Joseph E. Gonzalez Ion Stoica AI4CE 74 12 0 25 Nov 2020
Batch Normalization Embeddings for Deep Domain Generalization Mattia Segu A. Tonioni Federico Tombari OOD AI4CE 134 137 0 25 Nov 2020
Match Them Up: Visually Explainable Few-shot Image Classification Bowen Wang Liangzhi Li Manisha Verma Yuta Nakashima R. Kawasaki Hajime Nagahara FAtt 68 26 0 25 Nov 2020
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning Sen Lin Li Yang Zhezhi He Deliang Fan Junshan Zhang FedML AI4CE 59 5 0 25 Nov 2020
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer Zidi Xiu Junya Chen Ricardo Henao B. Goldstein Lawrence Carin Chenyang Tao 70 10 0 25 Nov 2020
Making Graph Neural Networks Worth It for Low-Data Molecular Machine Learning Aneesh S. Pappu Brooks Paige GNN AI4CE 50 14 0 24 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 88 72 0 24 Nov 2020
BiOpt: Bi-Level Optimization for Few-Shot Segmentation Jinlu Liu Liang Song Yongqiang Qin VLM 40 0 0 23 Nov 2020
RNNP: A Robust Few-Shot Learning Approach Pratik Mazumder Pravendra Singh Vinay P. Namboodiri NoLa 45 18 0 22 Nov 2020
Double Meta-Learning for Data Efficient Policy Optimization in Non-Stationary Environments Elahe Aghapour Nora Ayanian OffRL 42 4 0 21 Nov 2020
Meta Variational Monte Carlo Tianchen Zhao J. Stokes Oliver Knitter Brian Chen S. Veerapaneni BDL 50 3 0 20 Nov 2020
Convergence Analysis of Homotopy-SGD for non-convex optimization Matilde Gargiani Andrea Zanelli Quoc Tran-Dinh Moritz Diehl Frank Hutter 54 3 0 20 Nov 2020
Learning Synthetic to Real Transfer for Localization and Navigational Tasks Maxime Pietrantoni Boris Chidlovskii T. Silander 84 0 0 20 Nov 2020
One Shot Learning for Speech Separation Yuan-Kuei Wu Kuan-Po Huang Yu Tsao Hung-yi Lee VLM 70 8 0 20 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 110 3 0 19 Nov 2020
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning Avi Singh Huihan Liu G. Zhou Albert Yu Nicholas Rhinehart Sergey Levine OffRL OnRL 97 146 0 19 Nov 2020
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation Soopil Kim Sion An Philip Chikontwe Sang Hyun Park 49 41 0 19 Nov 2020
Challenges in Deploying Machine Learning: a Survey of Case Studies Andrei Paleyes Raoul-Gabriel Urma Neil D. Lawrence 71 409 0 18 Nov 2020
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis Wen Liu Zhixin Piao Zhi Tu Wenhan Luo Lin Ma Shenghua Gao DiffM 97 44 0 18 Nov 2020
A User's Guide to Calibrating Robotics Simulators Bhairav Mehta Ankur Handa Dieter Fox F. Ramos 55 12 0 17 Nov 2020
Multimodal Prototypical Networks for Few-shot Learning Frederik Pahde M. Puscas T. Klein Moin Nabi 77 90 0 17 Nov 2020
Avoiding Tampering Incentives in Deep RL via Decoupled Approval J. Uesato Ramana Kumar Victoria Krakovna Tom Everitt Richard Ngo Shane Legg 76 16 0 17 Nov 2020
Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing Ignat Georgiev C. Chatzikomis Timo Volkl Joshua R. Smith M. Mistry 42 5 0 17 Nov 2020
A Review of Generalized Zero-Shot Learning Methods Farhad Pourpanah Moloud Abdar Yuxuan Luo Xinlei Zhou Ran Wang C. P. Lim Xizhao Wang Q. M. Jonathan Wu VLM 157 366 0 17 Nov 2020
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things Jing Zhang Dacheng Tao 105 477 0 17 Nov 2020
Recursive Inference for Variational Autoencoders Minyoung Kim Vladimir Pavlovic DRL 50 13 0 17 Nov 2020
Semi-Supervised Few-Shot Atomic Action Recognition Xiaoyuan Ni Sizhe Song Yu-Wing Tai Chi-Keung Tang 70 3 0 17 Nov 2020
Learning Associative Inference Using Fast Weight Memory Imanol Schlag Tsendsuren Munkhdalai Jürgen Schmidhuber KELM 69 47 0 16 Nov 2020
Debiasing Convolutional Neural Networks via Meta Orthogonalization Kurtis Evan David Qiang Liu Ruth C. Fong FaML 41 3 0 15 Nov 2020
Dynamic backdoor attacks against federated learning Anbu Huang AAML FedML 49 21 0 15 Nov 2020
Towards Zero-Shot Learning with Fewer Seen Class Examples Vinay Kumar Verma Ashish Mishra Anubha Pandey H. Murthy Piyush Rai VLM 81 16 0 14 Nov 2020
Continual Learning with Deep Artificial Neurons Blake Camp J. Mandivarapu Rolando Estrada 74 8 0 13 Nov 2020
Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning Rasmus Berg Palm Elias Najarro S. Risi 70 3 0 13 Nov 2020
A Nested Bi-level Optimization Framework for Robust Few Shot Learning Krishnateja Killamsetty Changbin Li Chengli Zhao Rishabh K. Iyer Feng Chen 71 10 0 13 Nov 2020
Convergence Properties of Stochastic Hypergradients Riccardo Grazzi Massimiliano Pontil Saverio Salzo 114 26 0 13 Nov 2020
Neural Abstract Reasoner Victor Kolev B. Georgiev Svetlin Penkov NAI 68 10 0 12 Nov 2020
FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography E. Rahimian Soheil Zabihi A. Asif Dario Farina S. F. Atashzar Arash Mohammadi 44 102 0 11 Nov 2020
Transformers for One-Shot Visual Imitation Sudeep Dasari Abhinav Gupta LM&Ro 105 95 0 11 Nov 2020
Fast & Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers Tharindu Fernando Akila Pemasiri Sridha Sridharan Clinton Fookes 88 0 0 10 Nov 2020
Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching H. Khorasgani Haiyan Wang Chetan Gupta OffRL OnRL 65 10 0 09 Nov 2020
DynaVSR: Dynamic Adaptive Blind Video Super-Resolution Suyoung Lee Myungsub Choi Kyoung Mu Lee SupR 69 17 0 09 Nov 2020
Low-Resource Adaptation of Neural NLP Models Farhad Nooralahzadeh 87 0 0 09 Nov 2020
A Broad Dataset is All You Need for One-Shot Object Detection Claudio Michaelis Matthias Bethge Alexander S. Ecker ObjD 119 2 0 09 Nov 2020
Enhanced Few-shot Learning for Intrusion Detection in Railway Video Surveillance Xiao Gong Xi Chen Wei Chen 98 28 0 09 Nov 2020
A Few Shot Adaptation of Visual Navigation Skills to New Observations using Meta-Learning Qian Luo Maks Sorokin Sehoon Ha 106 15 0 06 Nov 2020
ASFGNN: Automated Separated-Federated Graph Neural Network Longfei Zheng Jun Zhou Chaochao Chen Bingzhe Wu L. xilinx Wang Benyu Zhang FedML GNN 84 73 0 06 Nov 2020
Confusable Learning for Large-class Few-Shot Classification Bing Li Bo Han Zhuowei Wang Jing Jiang Guodong Long 70 2 0 06 Nov 2020