On First-Order Meta-Learning Algorithms

8 March 2018

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

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Title
Learning to Learn with Variational Information Bottleneck for Domain Generalization Yingjun Du Jun Xu Huan Xiong Qiang Qiu Xiantong Zhen Cees G. M. Snoek Ling Shao BDL OOD 30 164 0 15 Jul 2020
How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning Yikai Wang Li Zhang Yuan Yao Yanwei Fu 40 43 0 15 Jul 2020
Attentive Graph Neural Networks for Few-Shot Learning Hao Cheng Qiufeng Wang Wee Peng Tay Bihan Wen 22 13 0 14 Jul 2020
Top-Related Meta-Learning Method for Few-Shot Object Detection Qian Li Nan Guo Xiaochun Ye Duo Wang Xiaochun Ye Zhimin Tang ObjD VLM 22 0 0 14 Jul 2020
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner Eugene Lee E. Chen Chen-Yi Lee 26 159 0 14 Jul 2020
Submodular Meta-Learning Arman Adibi Aryan Mokhtari Hamed Hassani CLL 31 5 0 11 Jul 2020
Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant Network Ademola Oladosu Tony Xu Philip Ekfeldt Brian A. Kelly M. Cranmer S. Ho A. Price-Whelan Gabriella Contardo 27 1 0 08 Jul 2020
Few-Shot One-Class Classification via Meta-Learning A. Frikha Denis Krompass Hans-Georg Koepken Volker Tresp 23 56 0 08 Jul 2020
Personalized Cross-Silo Federated Learning on Non-IID Data Yutao Huang Lingyang Chu Zirui Zhou Lanjun Wang Jiangchuan Liu J. Pei Yong Zhang FedML 22 595 0 07 Jul 2020
Meta-Learning with Network Pruning Hongduan Tian Bo Liu Xiaotong Yuan Qingshan Liu 27 27 0 07 Jul 2020
Adaptive Risk Minimization: Learning to Adapt to Domain Shift Marvin Zhang Henrik Marklund Nikita Dhawan Abhishek Gupta Sergey Levine Chelsea Finn OOD 13 199 0 06 Jul 2020
Covariate Distribution Aware Meta-learning Amrith Rajagopal Setlur Saket Dingliwal Barnabás Póczós OOD BDL 37 0 0 06 Jul 2020
A Few-Shot Sequential Approach for Object Counting Negin Sokhandan Pegah Kamousi Alejandro Posada Eniola Alese Negar Rostamzadeh 14 3 0 03 Jul 2020
Learn Faster and Forget Slower via Fast and Stable Task Adaptation Farshid Varno Lucas May Petry Lisa Di-Jorio Stan Matwin CLL 29 2 0 02 Jul 2020
On the Outsized Importance of Learning Rates in Local Update Methods Zachary B. Charles Jakub Konecný FedML 24 54 0 02 Jul 2020
Few-Shot Microscopy Image Cell Segmentation Youssef Dawoud Julia Hornauer G. Carneiro Vasileios Belagiannis VLM 17 13 0 29 Jun 2020
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang 14 27 0 28 Jun 2020
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy Yu Tian Gabriel Maicas L. Pu Rajvinder Singh Johan Verjans G. Carneiro MedIm 35 39 0 26 Jun 2020
Global Convergence and Generalization Bound of Gradient-Based Meta-Learning with Deep Neural Nets Haoxiang Wang Ruoyu Sun Bo Li MLT AI4CE 30 14 0 25 Jun 2020
On the Global Optimality of Model-Agnostic Meta-Learning Lingxiao Wang Qi Cai Zhuoran Yang Zhaoran Wang 25 43 0 23 Jun 2020
Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering Xin Cong Yu Bowen Tingwen Liu Shiyao Cui Hengzhu Tang Bin Wang 24 21 0 23 Jun 2020
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control Ioannis Exarchos M. Pereira Ziyi Wang Evangelos A. Theodorou 24 4 0 22 Jun 2020
Gradient-EM Bayesian Meta-learning Yayi Zou Xiaoqi Lu BDL 42 16 0 21 Jun 2020
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models Siavash Khodadadeh Sharare Zehtabian Saeed Vahidian Weijia Wang Bill Lin Ladislau Bölöni 28 34 0 18 Jun 2020
Enhancing Few-Shot Image Classification with Unlabelled Examples Peyman Bateni Jarred Barber Jan-Willem van de Meent Frank Wood VLM SSL 37 55 0 17 Jun 2020
Channel Relationship Prediction with Forget-Update Module for Few-shot Classification Minglei Yuan Cunhao Cai Tong Lu ViT 8 0 0 16 Jun 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 39 975 0 16 Jun 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning Sungyong Seo Chuizheng Meng Sirisha Rambhatla Yan Liu AI4CE 23 11 0 15 Jun 2020
Flexible Dataset Distillation: Learn Labels Instead of Images Ondrej Bohdal Yongxin Yang Timothy M. Hospedales DD 35 110 0 15 Jun 2020
Meta Approach to Data Augmentation Optimization Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 32 34 0 14 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 42 161 0 14 Jun 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures Jeongun Ryu Jaewoong Shin Haebeom Lee Sung Ju Hwang AAML OOD 22 8 0 13 Jun 2020
Learning-to-Learn Personalised Human Activity Recognition Models A. Wijekoon Nirmalie Wiratunga HAI 20 3 0 12 Jun 2020
BI-MAML: Balanced Incremental Approach for Meta Learning Yang Zheng Jinlin Xiang Kun Su Eli Shlizerman CLL 14 10 0 12 Jun 2020
Backdoor Attacks on Federated Meta-Learning Chien-Lun Chen L. Golubchik Marco Paolieri FedML 14 32 0 12 Jun 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction Jinheon Baek Dong Bok Lee Sung Ju Hwang 19 87 0 11 Jun 2020
Unsupervised Transfer Learning with Self-Supervised Remedy Jiabo Huang S. Gong SSL 27 2 0 08 Jun 2020
Multi-step Estimation for Gradient-based Meta-learning Jin-Hwa Kim Junyoung Park Yongseok Choi 22 1 0 08 Jun 2020
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton Risheng Liu Pan Mu Xiaoming Yuan Shangzhi Zeng Jin Zhang 22 129 0 07 Jun 2020
UFO-BLO: Unbiased First-Order Bilevel Optimization Valerii Likhosherstov Xingyou Song K. Choromanski Jared Davis Adrian Weller 36 7 0 05 Jun 2020
Meta Learning as Bayes Risk Minimization S. Maeda Toshiki Nakanishi Masanori Koyama BDL 23 1 0 02 Jun 2020
When Does MAML Objective Have Benign Landscape? Igor Molybog Javad Lavaei 14 7 0 31 May 2020
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction Haimiao Zhang Baodong Liu Hengyong Yu Bin Dong 27 61 0 30 May 2020
Towards Context-Agnostic Learning Using Synthetic Data Charles Jin Martin Rinard OOD 20 1 0 29 May 2020
Looking back to lower-level information in few-shot learning Zhongjie Yu S. Raschka 6 4 0 27 May 2020
Cross-Domain Few-Shot Learning with Meta Fine-Tuning J. Cai S. Shen 26 29 0 21 May 2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning Jia-Fong Yeh Hsin-Ying Lee Bing-Chen Tsai Yi-Rong Chen Ping Huang Winston H. Hsu 25 14 0 19 May 2020
Learning Transferable Concepts in Deep Reinforcement Learning Diego Gomez Nicanor Quijano Luis Felipe Giraldo CLL SSL 16 0 0 16 May 2020
Information-Theoretic Generalization Bounds for Meta-Learning and Applications Sharu Theresa Jose Osvaldo Simeone 38 45 0 09 May 2020
Addressing Catastrophic Forgetting in Few-Shot Problems Pauching Yap H. Ritter David Barber CLL BDL 19 19 0 30 Apr 2020