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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
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 114 72 0 08 Jan 2021
Few-Shot Learning with Class Imbalance Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 113 37 0 07 Jan 2021
Multitask Learning for Emotion and Personality Detection Yang Li Amirmohammad Kazameini Yash Mehta Min Zhang CVBM 38 17 0 07 Jan 2021
Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka OffRL 60 2 0 06 Jan 2021
Optimal Action-based or User Prediction-based Haptic Guidance: Can You Do Even Better? Hee-Seung Moon Jiwon Seo 73 11 0 06 Jan 2021
Local Propagation for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard 87 9 0 05 Jan 2021
Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition Anugunj Naman Chetan Sinha Liliana Mancini 67 12 0 05 Jan 2021
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control Liwen Zhu Peixi Peng Zongqing Lu Xiangqian Wang Yonghong Tian 68 21 0 04 Jan 2021
Meta-Learning Conjugate Priors for Few-Shot Bayesian Optimization Ruduan Plug BDL 30 0 0 03 Jan 2021
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier Arkabandhu Chowdhury Mingchao Jiang Swarat Chaudhuri C. Jermaine VLM 111 42 0 03 Jan 2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments Baiming Chen Zuxin Liu Jiacheng Zhu Mengdi Xu Wenhao Ding Ding Zhao 64 38 0 02 Jan 2021
When Is Generalizable Reinforcement Learning Tractable? Dhruv Malik Yuanzhi Li Pradeep Ravikumar OffRL 216 25 0 01 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Min Zhang OffRL 128 75 0 01 Jan 2021
B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning Anish Madan Ranjitha Prasad BDL 34 3 0 01 Jan 2021
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters Mengjie Zhao Yi Zhu Ehsan Shareghi Ivan Vulić Roi Reichart Anna Korhonen Hinrich Schütze 114 64 0 31 Dec 2020
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts Binbin Guo Yuan Mei Danyang Xiao Weigang Wu Ye Yin Hongli Chang MoE 108 23 0 31 Dec 2020
MM-FSOD: Meta and metric integrated few-shot object detection Yuewen Li W. Feng Shuchang Lyu Qi Zhao Xuliang Li ObjD 140 12 0 30 Dec 2020
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 135 57 0 29 Dec 2020
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification Piotr Koniusz Hongguang Zhang 91 56 0 27 Dec 2020
Spatial Contrastive Learning for Few-Shot Classification Yassine Ouali C´eline Hudelot Myriam Tami 59 51 0 26 Dec 2020
Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition Raphael Memmesheimer Simon Häring Nick Theisen Dietrich Paulus 135 36 0 26 Dec 2020
Few Shot Learning With No Labels Aditya Bharti V. Balasubramanian C. V. Jawahar VLM 49 3 0 26 Dec 2020
Multi-Instance Aware Localization for End-to-End Imitation Learning S. Gubbi Raviteja Upadrashta Shishir Kolathaya B. Amrutur 50 1 0 26 Dec 2020
One-Shot Object Localization Using Learnt Visual Cues via Siamese Networks S. Gubbi B. Amrutur 43 8 0 26 Dec 2020
Teaching Robots Novel Objects by Pointing at Them S. Gubbi Raviteja Upadrashta Shishir Kolathaya B. Amrutur 82 6 0 25 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 150 324 0 25 Dec 2020
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition Shiyuan Huang Jiawei Ma G. Han Shih-Fu Chang BDL 115 21 0 24 Dec 2020
Efficient Continual Learning with Modular Networks and Task-Driven Priors Tom Véniat Ludovic Denoyer MarcÁurelio Ranzato CLL 90 98 0 23 Dec 2020
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning D. Kedziora Katarzyna Musial Bogdan Gabrys 99 17 0 23 Dec 2020
CN-Celeb: multi-genre speaker recognition Lantian Li Ruiqi Liu Jiawen Kang Yue Fan Hao Cui Yunqi Cai Ravichander Vipperla Tianshi Zheng Dong Wang 108 123 0 23 Dec 2020
Learning to Initialize Gradient Descent Using Gradient Descent Kartik Ahuja Amit Dhurandhar Kush R. Varshney 21 0 0 22 Dec 2020
MetaAugment: Sample-Aware Data Augmentation Policy Learning Fengwei Zhou Jiawei Li Chuanlong Xie Fei Chen Lanqing Hong Rui Sun Zhenguo Li 76 29 0 22 Dec 2020
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation Shuai Lin Pan Zhou Xiaodan Liang Jianheng Tang Ruihui Zhao Ziliang Chen Liang Lin MedIm 83 55 0 22 Dec 2020
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition Yubei Xiao Ke Gong Pan Zhou Guolin Zheng Xiaodan Liang Liang Lin 80 35 0 22 Dec 2020
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction Runsheng Yu Yu Gong Xu He Bo An Yu Zhu Qingwen Liu Wenwu Ou 56 59 0 22 Dec 2020
Progressive One-shot Human Parsing Haoyu He Jing Zhang B. Thuraisingham Dacheng Tao VLM 62 17 0 22 Dec 2020
A Meta-Learning Approach to the Optimal Power Flow Problem Under Topology Reconfigurations Yexiang Chen Ieee Subhash Lakshminarayana Senior Member Carsten Maple Ieee H. Vincent Poor Fellow AI4CE 53 7 0 21 Dec 2020
Knowledge as Invariance -- History and Perspectives of Knowledge-augmented Machine Learning A. Sagel Amit Sahu Stefan Matthes H. Pfeifer Tianming Qiu Harald Ruess Hao Shen Julian Wormann 61 3 0 21 Dec 2020
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning Huaxi Huang Junjie Zhang Jian Zhang Qiang Wu Chang Xu 101 26 0 20 Dec 2020
Fairness and Accuracy in Federated Learning Wei Huang Tianrui Li Dexian Wang Shengdong Du Junbo Zhang FedML 103 57 0 18 Dec 2020
On Episodes, Prototypical Networks, and Few-shot Learning Steinar Laenen Luca Bertinetto 99 100 0 17 Dec 2020
Continual Lifelong Learning in Natural Language Processing: A Survey Magdalena Biesialska Katarzyna Biesialska Marta R. Costa-jussá KELM CLL 116 222 0 17 Dec 2020
Few-shot Sequence Learning with Transformers Lajanugen Logeswaran Ann Lee Myle Ott Honglak Lee MarcÁurelio Ranzato Arthur Szlam ViT 69 12 0 17 Dec 2020
Towards Recognizing New Semantic Concepts in New Visual Domains Massimiliano Mancini OOD 144 0 0 16 Dec 2020
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning Sheng Yue Ju Ren Jiang Xin Sen Lin Junshan Zhang FedML 91 44 0 16 Dec 2020
Policy Manifold Search for Improving Diversity-based Neuroevolution Nemanja Rakićević Antoine Cully Petar Kormushev 58 0 0 15 Dec 2020
Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication Sen Lin M. Dedeoglu Junshan Zhang FedML 60 6 0 15 Dec 2020
Grounding Artificial Intelligence in the Origins of Human Behavior Eleni Nisioti Clément Moulin-Frier AI4CE 118 5 0 15 Dec 2020
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation R. Gong Yuhua Chen D. Paudel Yawei Li Ajad Chhatkuli Wen Li Dengxin Dai Luc Van Gool OOD VLM 92 35 0 15 Dec 2020
Invariant Feature Learning for Sensor-based Human Activity Recognition Yujiao Hao Boyu Wang Rong Zheng 83 20 0 14 Dec 2020