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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
Transfer Bayesian Meta-learning via Weighted Free Energy Minimization Yunchuan Zhang Sharu Theresa Jose Osvaldo Simeone 70 0 0 20 Jun 2021
Task Attended Meta-Learning for Few-Shot Learning Aroof Aimen Sahil Sidheekh N. C. Krishnan 36 4 0 20 Jun 2021
Multi-Pair Text Style Transfer on Unbalanced Data Xing Han J. Lundin 50 0 0 20 Jun 2021
Heterogeneous Multi-task Learning with Expert Diversity Raquel Y. S. Aoki Frederick Tung Gabriel L. Oliveira MoE 101 24 0 20 Jun 2021
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization Ondrej Bohdal Yongxin Yang Timothy M. Hospedales 101 20 0 19 Jun 2021
MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data Arpit Bansal Micah Goldblum Valeriia Cherepanova Avi Schwarzschild C. Bayan Bruss Tom Goldstein 56 9 0 17 Jun 2021
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error Ondrej Bohdal Yongxin Yang Timothy M. Hospedales UQCV OOD 112 23 0 17 Jun 2021
Episode Adaptive Embedding Networks for Few-shot Learning Fangbing Liu Qing Wang 38 0 0 17 Jun 2021
Joining datasets via data augmentation in the label space for neural networks Jake Zhao Mingfeng Ou Linji Xue Yunkai Cui Sai Wu Gang Chen 36 2 0 17 Jun 2021
SPeCiaL: Self-Supervised Pretraining for Continual Learning Lucas Caccia Joelle Pineau CLL SSL 76 19 0 16 Jun 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang Han Zhao Yue Liu 112 90 0 16 Jun 2021
Transductive Few-Shot Learning: Clustering is All You Need? Imtiaz Masud Ziko Malik Boudiaf Jose Dolz Eric Granger Ismail Ben Ayed 48 3 0 16 Jun 2021
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning Hayeon Lee Sewoong Lee Song Chong Sung Ju Hwang 83 26 0 16 Jun 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning Chaofan CHEN Xiaoshan Yang Changsheng Xu Xuhui Huang Zhe Ma 79 50 0 16 Jun 2021
Contextualizing Meta-Learning via Learning to Decompose Han-Jia Ye Da-Wei Zhou Lanqing Hong Zhenguo Li Xiu-Shen Wei De-Chuan Zhan 87 7 0 15 Jun 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning Krishnateja Killamsetty Xujiang Zhao F. Chen Rishabh K. Iyer 97 84 0 14 Jun 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data Feng Liu Wenkai Xu Jie Lu Danica J. Sutherland 91 24 0 14 Jun 2021
Differentiable Neural Architecture Search with Morphism-based Transformable Backbone Architectures Renlong Jie Junbin Gao 54 0 0 14 Jun 2021
NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification Weichuan Zhang Xuefang Liu Zhengrong Xue Yongsheng Gao Changming Sun 78 9 0 13 Jun 2021
Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation Chenxin Li Qi Qi Xinghao Ding Yue Huang Dong Liang Yizhou Yu OOD 56 71 0 13 Jun 2021
Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification Kaize Ding Jianling Wang Jundong Li James Caverlee Huan Liu OOD OffRL 87 6 0 12 Jun 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 121 818 0 12 Jun 2021
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks Shai Keynan Elad Sarafian Sarit Kraus OffRL 97 30 0 12 Jun 2021
Knowledge Consolidation based Class Incremental Online Learning with Limited Data M. A. Karim Vinay Kumar Verma Pravendra Singh Vinay P. Namboodiri Piyush Rai CLL 36 0 0 12 Jun 2021
Learngene: From Open-World to Your Learning Task Qiufeng Wang Xin Geng Shuxia Lin Shiyu Xia Lei Qi Ning Xu 92 23 0 12 Jun 2021
Learning Compositional Shape Priors for Few-Shot 3D Reconstruction Mateusz Michalkiewicz Stavros Tsogkas Sarah Parisot Mahsa Baktash Anders P. Eriksson Eugene Belilovsky 3DV 3DPC 54 2 0 11 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 100 25 0 11 Jun 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation Haoang Chi Feng Liu Wenjing Yang L. Lan Tongliang Liu Bo Han William Cheung James T. Kwok 102 27 0 11 Jun 2021
Meta-Adaptive Nonlinear Control: Theory and Algorithms Guanya Shi Kamyar Azizzadenesheli Michael O'Connell Soon-Jo Chung Yisong Yue 113 41 0 11 Jun 2021
Predicting Next Local Appearance for Video Anomaly Detection Pankaj Raj Roy Guillaume-Alexandre Bilodeau Lama Seoud 87 2 0 10 Jun 2021
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 145 76 0 10 Jun 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning J. Hurtado Alain Raymond-Sáez Alvaro Soto CLL 91 38 0 09 Jun 2021
Long-time integration of parametric evolution equations with physics-informed DeepONets Sizhuang He P. Perdikaris AI4CE 91 122 0 09 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 106 23 0 09 Jun 2021
Attentional Meta-learners for Few-shot Polythetic Classification Ben Day Ramón Viñas Torné Nikola Simidjievski Pietro Lio 46 1 0 09 Jun 2021
Self-Paced Context Evaluation for Contextual Reinforcement Learning Theresa Eimer André Biedenkapp Frank Hutter Marius Lindauer OffRL LRM 99 25 0 09 Jun 2021
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning Bokun Wang Zhuoning Yuan Yiming Ying Tianbao Yang FedML 102 11 0 09 Jun 2021
Probabilistic task modelling for meta-learning Cuong C. Nguyen Thanh-Toan Do G. Carneiro BDL 77 5 0 09 Jun 2021
BERT Learns to Teach: Knowledge Distillation with Meta Learning Wangchunshu Zhou Canwen Xu Julian McAuley 140 87 0 08 Jun 2021
LEADS: Learning Dynamical Systems that Generalize Across Environments Yuan Yin Ibrahim Ayed Emmanuel de Bézenac Nicolas Baskiotis Patrick Gallinari OOD 84 34 0 08 Jun 2021
A critical look at the current train/test split in machine learning Jimin Tan Jianan Yang Sai Wu Gang Chen Jake Zhao OOD 48 39 0 08 Jun 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing M. Khodak Renbo Tu Tian Li Liam Li Maria-Florina Balcan Virginia Smith Ameet Talwalkar FedML 105 78 0 08 Jun 2021
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization Bing-Jing Hsieh Ping-Chun Hsieh Xi Liu 90 16 0 08 Jun 2021
Meta-Learning to Compositionally Generalize Henry Conklin Bailin Wang Kenny Smith Ivan Titov OOD 106 76 0 08 Jun 2021
Learning Functional Priors and Posteriors from Data and Physics Xuhui Meng Liu Yang Zhiping Mao J. Ferrandis George Karniadakis AI4CE 174 61 0 08 Jun 2021
Evaluating Meta-Feature Selection for the Algorithm Recommendation Problem G. Pereira M. Santos A. Carvalho 66 2 0 07 Jun 2021
One-shot learning of paired association navigation with biologically plausible schemas M Ganesh Kumar Cheston Tan C. Libedinsky S. Yen A. Tan 89 3 0 07 Jun 2021
Self-Supervision & Meta-Learning for One-Shot Unsupervised Cross-Domain Detection Francesco Cappio Borlino S. Polizzotto Barbara Caputo Tatiana Tommasi ObjD 79 5 0 07 Jun 2021
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning Kai Wang Sanket Shah Haipeng Chen Andrew Perrault Finale Doshi-Velez Milind Tambe OffRL 121 6 0 06 Jun 2021
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation Evgenii Nikishin Romina Abachi Rishabh Agarwal Pierre-Luc Bacon OffRL 96 38 0 06 Jun 2021