On First-Order Meta-Learning Algorithms

8 March 2018

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

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Title
Reconstruction guided Meta-learning for Few Shot Open Set Recognition Sayak Nag Dripta S. Raychaudhuri S. Paul Amit K. Roy-Chowdhury 24 7 0 31 Jul 2021
Adaptable image quality assessment using meta-reinforcement learning of task amenability Shaheer U. Saeed Yunguan Fu V. Stavrinides Zachary Michael Cieman Baum Qianye Yang ... Richard E. Fan G. Sonn J. A. Noble D. Barratt Yipeng Hu 27 10 0 31 Jul 2021
Few-Shot and Continual Learning with Attentive Independent Mechanisms Eugene Lee Cheng-Han Huang Chen-Yi Lee CLL 23 25 0 29 Jul 2021
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning Reece Walsh Mohamed H. Abdelpakey M. Shehata Mostafa M. Mohamed 3DH 30 21 0 27 Jul 2021
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning Shuangjia Zheng Sijie Mai Ya Sun Haifeng Hu Yuedong Yang 38 21 0 26 Jul 2021
A Transductive Maximum Margin Classifier for Few-Shot Learning Fei Pan Chunlei Xu Jie Guo Yanwen Guo 19 0 0 26 Jul 2021
Will Multi-modal Data Improves Few-shot Learning? Zilun Zhang Shihao Ma Yichun Zhang 13 2 0 25 Jul 2021
A novel meta-learning initialization method for physics-informed neural networks Xu Liu Xiaoya Zhang Wei Peng Weien Zhou W. Yao AI4CE 30 72 0 23 Jul 2021
Accelerating Quadratic Optimization with Reinforcement Learning Jeffrey Ichnowski Paras Jain Bartolomeo Stellato G. Banjac Michael Luo Francesco Borrelli Joseph E. Gonzalez Ion Stoica Ken Goldberg OffRL 19 36 0 22 Jul 2021
Multi-Level Contrastive Learning for Few-Shot Problems Qing Chen Jian Zhang 31 5 0 15 Jul 2021
A Channel Coding Benchmark for Meta-Learning Rui Li Ondrej Bohdal Rajesh K. Mishra Hyeji Kim Da Li Nicholas D. Lane Timothy M. Hospedales 36 9 0 15 Jul 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
Federated Mixture of Experts M. Reisser Christos Louizos E. Gavves Max Welling FedML 28 25 0 14 Jul 2021
Meta-learning PINN loss functions Apostolos F. Psaros Kenji Kawaguchi George Karniadakis PINN 49 97 0 12 Jul 2021
Wavelet Transform-assisted Adaptive Generative Modeling for Colorization Jin Li Wanyun Li Zichen Xu Yuhao Wang Qiegen Liu DiffM 38 12 0 09 Jul 2021
Safe Exploration by Solving Early Terminated MDP Hao Sun Ziping Xu Meng Fang Zhenghao Peng Jiadong Guo Bo Dai Bolei Zhou 19 16 0 09 Jul 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks Jun Shu Deyu Meng Zongben Xu 37 6 0 06 Jul 2021
Memory Efficient Meta-Learning with Large Images J. Bronskill Daniela Massiceti Massimiliano Patacchiola Katja Hofmann Sebastian Nowozin Richard Turner VLM 27 20 0 02 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee Eunyoung Hyung Sung Ju Hwang 40 43 0 02 Jul 2021
Few-Shot Learning with a Strong Teacher Han-Jia Ye Lu Ming De-Chuan Zhan Wei-Lun Chao 24 51 0 01 Jul 2021
How to Train Your MAML to Excel in Few-Shot Classification Han-Jia Ye Wei-Lun Chao 32 49 0 30 Jun 2021
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning Nikunj Saunshi Arushi Gupta Wei Hu SSL 19 17 0 29 Jun 2021
MAML is a Noisy Contrastive Learner in Classification Chia-Hsiang Kao Wei-Chen Chiu Pin-Yu Chen 25 17 0 29 Jun 2021
Fast Training of Neural Lumigraph Representations using Meta Learning Alexander W. Bergman Petr Kellnhofer Gordon Wetzstein 27 40 0 28 Jun 2021
Implicit Gradient Alignment in Distributed and Federated Learning Yatin Dandi Luis Barba Martin Jaggi FedML 26 31 0 25 Jun 2021
Subgraph Federated Learning with Missing Neighbor Generation Ke Zhang Carl Yang Xiaoxiao Li Lichao Sun Siu-Ming Yiu FedML 30 164 0 25 Jun 2021
Mutual-Information Based Few-Shot Classification Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony Jose Dolz Ismail Ben Ayed Pablo Piantanida VLM 30 2 0 23 Jun 2021
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images Shaofei Wang Marko Mihajlovic Qianli Ma Andreas Geiger Siyu Tang 3DH 19 99 0 22 Jun 2021
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification Andrés Villa Juan-Manuel Perez-Rua Victor Escorcia Vladimir Araujo Juan Carlos Niebles Alvaro Soto 27 0 0 21 Jun 2021
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients Miao Zhang Steven W. Su Shirui Pan Xiaojun Chang Ehsan Abbasnejad Reza Haffari 31 68 0 21 Jun 2021
Task Attended Meta-Learning for Few-Shot Learning Aroof Aimen Sahil Sidheekh N. C. Krishnan 21 4 0 20 Jun 2021
Multi-Pair Text Style Transfer on Unbalanced Data Xing Han J. Lundin 33 0 0 20 Jun 2021
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization Ondrej Bohdal Yongxin Yang Timothy M. Hospedales 34 20 0 19 Jun 2021
Episode Adaptive Embedding Networks for Few-shot Learning Fangbing Liu Qing Wang 24 0 0 17 Jun 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang Han Zhao Bo-wen Li 37 88 0 16 Jun 2021
Masked Training of Neural Networks with Partial Gradients Amirkeivan Mohtashami Martin Jaggi Sebastian U. Stich 24 22 0 16 Jun 2021
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning Hayeon Lee Sewoong Lee Song Chong Sung Ju Hwang 21 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 33 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 18 6 0 15 Jun 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 39 774 0 12 Jun 2021
Learngene: From Open-World to Your Learning Task Qiufeng Wang Xin Geng Shuxia Lin Shiyu Xia Lei Qi Ning Xu 38 20 0 12 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 44 24 0 11 Jun 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning J. Hurtado Alain Raymond-Sáez Alvaro Soto CLL 34 37 0 09 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 45 22 0 09 Jun 2021
Attentional Meta-learners for Few-shot Polythetic Classification Ben Day Ramón Viñas Torné Nikola Simidjievski Pietro Lio 20 0 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 56 9 0 09 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 43 78 0 08 Jun 2021
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization Bing-Jing Hsieh Ping-Chun Hsieh Xi Liu 36 16 0 08 Jun 2021
Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss Dominique Heyn Jinfan Chen Andreas Krause 42 27 0 06 Jun 2021
DAMSL: Domain Agnostic Meta Score-based Learning J. Cai B. Cai S. Shen 18 5 0 06 Jun 2021