Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

31 July 2017

Papers citing "Meta-SGD: Learning to Learn Quickly for Few-Shot Learning"

50 / 222 papers shown

Title
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning Zhe Wang J. E. Grigsby Arshdeep Sekhon Yanjun Qi 56 4 0 27 Sep 2021
Data Summarization via Bilevel Optimization Zalan Borsos Mojmír Mutný Marco Tagliasacchi Andreas Krause 30 8 0 26 Sep 2021
Learning by Examples Based on Multi-level Optimization Shentong Mo P. Xie 29 0 0 22 Sep 2021
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification Jedrzej Kozerawski M. Turk VLM MQ 27 5 0 14 Sep 2021
Knowledge-Aware Meta-learning for Low-Resource Text Classification Huaxiu Yao Yingxin Wu Maruan Al-Shedivat Eric Xing VLM CLIP 72 11 0 10 Sep 2021
OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN Shubham Paliwal Monika Sharma L. Vig 36 13 0 08 Sep 2021
Binocular Mutual Learning for Improving Few-shot Classification Ziqi Zhou Xi Qiu Jiangtao Xie Jianan Wu Chi Zhang SSL 18 76 0 27 Aug 2021
Normal Learning in Videos with Attention Prototype Network Chao Hu Fan Wu Weijie Wu Weibin Qiu Shengxin Lai 25 1 0 25 Aug 2021
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection Limeng Qiao Yuxuan Zhao Zhiyuan Li Xi Qiu Jianan Wu Chi Zhang ObjD 30 197 0 20 Aug 2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation Zhonghua Wu Xiangxi Shi Guosheng lin Jianfei Cai VLM 75 108 0 06 Aug 2021
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 32 12 0 02 Aug 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
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 47 88 0 16 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
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Personalized Federated Learning with Gaussian Processes Idan Achituve Aviv Shamsian Aviv Navon Gal Chechik Ethan Fetaya FedML 32 100 0 29 Jun 2021
Multimodal Emergent Fake News Detection via Meta Neural Process Networks Yaqing Wang Fenglong Ma Haoyu Wang Kishlay Jha Jing Gao 27 60 0 22 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
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
Stateless Neural Meta-Learning using Second-Order Gradients Mike Huisman Aske Plaat Jan N. van Rijn 37 7 0 21 Apr 2021
A Meta-Learning Approach for Medical Image Registration Heejung Park Gyeong Min Lee Soopil Kim Gahyung Ryu Areum Jeong Sang Hyun Park Sa-Hee Min 21 11 0 21 Apr 2021
Few-shot Learning for Topic Modeling Tomoharu Iwata BDL 27 6 0 19 Apr 2021
Few-Shot Action Recognition with Compromised Metric via Optimal Transport Su Lu Han-Jia Ye De-Chuan Zhan 31 18 0 08 Apr 2021
Storchastic: A Framework for General Stochastic Automatic Differentiation Emile van Krieken Jakub M. Tomczak A. T. Teije ODL OffRL 31 15 0 01 Apr 2021
Federated Few-Shot Learning with Adversarial Learning Chenyou Fan Jianwei Huang FedML 18 29 0 01 Apr 2021
Learning Dynamic Alignment via Meta-filter for Few-shot Learning C. Xu Chen Liu Li Zhang Chengjie Wang Jilin Li Feiyue Huang Xiangyang Xue Yanwei Fu 32 103 0 25 Mar 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 64 225 0 23 Mar 2021
How to decay your learning rate Aitor Lewkowycz 48 24 0 23 Mar 2021
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 41 327 0 08 Mar 2021
Dual-Awareness Attention for Few-Shot Object Detection Tung-I Chen Yueh-Cheng Liu Hung-Ting Su Yu-Cheng Chang Yu-Hsiang Lin Jia-Fong Yeh Wen-Chin Chen Winston H. Hsu ObjD 35 96 0 24 Feb 2021
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks Alireza Fallah Aryan Mokhtari Asuman Ozdaglar 25 49 0 07 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 67 223 0 27 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 39 68 0 08 Jan 2021
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction Runsheng Yu Yu Gong Xu He Bo An Yu Zhu Qingwen Liu Wenwu Ou 28 57 0 22 Dec 2020
Learned Initializations for Optimizing Coordinate-Based Neural Representations Matthew Tancik B. Mildenhall Terrance Wang Divi Schmidt Pratul P. Srinivasan Jonathan T. Barron Ren Ng 19 286 0 03 Dec 2020
Meta-Generating Deep Attentive Metric for Few-shot Classification Lei Zhang Fei Zhou Wei Wei Yanning Zhang VLM 42 28 0 03 Dec 2020
ReMP: Rectified Metric Propagation for Few-Shot Learning Yang Zhao Chunyuan Li Ping Yu Changyou Chen 35 6 0 02 Dec 2020
Online Structured Meta-learning Huaxiu Yao Yingbo Zhou M. Mahdavi Z. Li R. Socher Caiming Xiong 44 28 0 22 Oct 2020
Learning to Learn Variational Semantic Memory Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 19 34 0 20 Oct 2020
Few-shot Learning for Spatial Regression Tomoharu Iwata Yusuke Tanaka 32 11 0 09 Oct 2020
Improving Few-Shot Learning through Multi-task Representation Learning Theory Quentin Bouniot I. Redko Romaric Audigier Angélique Loesch Amaury Habrard 45 10 0 05 Oct 2020
BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning Yaohua Liu Risheng Liu 25 10 0 28 Sep 2020
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks Trapit Bansal Rishikesh Jha Tsendsuren Munkhdalai Andrew McCallum SSL VLM 33 87 0 17 Sep 2020
learn2learn: A Library for Meta-Learning Research Sébastien M. R. Arnold Praateek Mahajan Debajyoti Datta Ian Bunner Konstantinos Saitas Zarkias 34 95 0 27 Aug 2020
Cooperative Bi-path Metric for Few-shot Learning Zeyuan Wang Yifan Zhao Jia Li Yonghong Tian 21 35 0 10 Aug 2020
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation Atmadeep Banerjee SSeg VLM 18 5 0 01 Aug 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 26 54 0 30 Jul 2020
Improving Generalization in Meta-learning via Task Augmentation Huaxiu Yao Long-Kai Huang Linjun Zhang Ying Wei Li Tian James Zou Junzhou Huang Z. Li 50 81 0 26 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 36 3 0 17 Jul 2020