Meta-Learning in Neural Networks: A Survey

11 April 2020

Timothy M. Hospedales

Amos Storkey

Papers citing "Meta-Learning in Neural Networks: A Survey"

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Title
Structure-aware Protein Self-supervised Learning Can Chen Jingbo Zhou Fan Wang Xue Liu Dejing Dou SSL 24 65 0 06 Apr 2022
Model Based Meta Learning of Critics for Policy Gradients Sarah Bechtle Ludovic Righetti Franziska Meier OffRL 24 0 0 05 Apr 2022
MetaAudio: A Few-Shot Audio Classification Benchmark Calum Heggan S. Budgett Timothy M. Hospedales Mehrdad Yaghoobi VLM 41 32 0 05 Apr 2022
Transient motion classification through turbid volumes via parallelized single-photon detection and deep contrastive embedding Shiqi Xu Wenhui Liu Xi Yang J. Jonsson Ruobing Qian ... Lucas Kreiss Haoqian Wang E. Berrocal S. Huettel R. Horstmeyer 19 7 0 04 Apr 2022
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning Sreejan Kumar Ishita Dasgupta Nathaniel D. Daw Jonathan Cohen Thomas Griffiths 35 10 0 04 Apr 2022
Learning to Accelerate by the Methods of Step-size Planning Hengshuai Yao 24 0 0 01 Apr 2022
Improved Relation Networks for End-to-End Speaker Verification and Identification Ashutosh Chaubey Sparsh Sinha Susmita Ghose 25 3 0 31 Mar 2022
Robust Meta-Reinforcement Learning with Curriculum-Based Task Sampling Morio Matsumoto Hiroya Matsuba Toshihiro Kujirai 16 2 0 31 Mar 2022
Sketch3T: Test-Time Training for Zero-Shot SBIR Aneeshan Sain A. Bhunia Vaishnav Potlapalli Pinaki Nath Chowdhury Tao Xiang Yi-Zhe Song VLM 19 48 0 28 Mar 2022
Learn to Adapt for Monocular Depth Estimation Qi Sun Gary G. Yen Yang Tang Chaoqiang Zhao MDE 28 4 0 26 Mar 2022
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation Ying Zhao Zhiliang Tian Huaxiu Yao Yinhe Zheng Dongkyu Lee Yiping Song Jian Sun N. Zhang 32 20 0 22 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks Marcin Sendera Marcin Przewiȩźlikowski Konrad Karanowski Maciej Ziȩba Jacek Tabor Przemysław Spurek VLM 32 27 0 21 Mar 2022
Few-Shot Learning on Graphs Chuxu Zhang Kaize Ding Jundong Li Xiangliang Zhang Yanfang Ye Nitesh V. Chawla Huan Liu 30 18 0 17 Mar 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning Haoxiang Wang Yite Wang Ruoyu Sun Bo-wen Li 31 27 0 17 Mar 2022
Symbolic Learning to Optimize: Towards Interpretability and Scalability Wenqing Zheng Tianlong Chen Ting-Kuei Hu Zhangyang Wang 45 19 0 13 Mar 2022
What Matters For Meta-Learning Vision Regression Tasks? Ni Gao Hanna Ziesche Ngo Anh Vien Michael Volpp Gerhard Neumann VLM 18 29 0 09 Mar 2022
Contrastive Conditional Neural Processes Zesheng Ye Lina Yao UQCV 37 12 0 08 Mar 2022
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review Abolfazl Razi Xiwen Chen Huayu Li Hao Wang Brendan J. Russo Yan Chen Hongbin Yu 33 40 0 07 Mar 2022
Automated Few-Shot Time Series Forecasting based on Bi-level Programming Jiangjiao Xu Ke Li AI4TS 41 1 0 07 Mar 2022
On the Construction of Distribution-Free Prediction Intervals for an Image Regression Problem in Semiconductor Manufacturing Inimfon I. Akpabio S. Savari UQCV 18 0 0 07 Mar 2022
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? Lisha Chen Tianyi BDL 30 16 0 06 Mar 2022
Meta Mirror Descent: Optimiser Learning for Fast Convergence Boyan Gao Henry Gouk Haebeom Lee Timothy M. Hospedales 27 6 0 05 Mar 2022
Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data Yancheng Pan Fan Xie Huijing Zhao CVBM 36 7 0 01 Mar 2022
MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs Wenrui Zhang Shijia Geng Zhaoji Fu Linlin Zheng Chenyang Jiang linda Qiao 11 4 0 25 Feb 2022
A Note on Machine Learning Approach for Computational Imaging Bin Dong 26 0 0 24 Feb 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 38 9 0 23 Feb 2022
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation Yadan Luo Zijian Wang Zhuoxiao Chen Zi Huang Mahsa Baktashmotlagh AI4CE 49 29 0 13 Feb 2022
Meta-learning with GANs for anomaly detection, with deployment in high-speed rail inspection system Haoyang Cao Xin Guo Guan Wang AI4TS 23 7 0 11 Feb 2022
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu NoLa 27 33 0 11 Feb 2022
Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs Jyoti Narwariya Chetan Verma Pankaj Malhotra L. Vig E. Subramanian Sanjay Bhat AI4TS 30 2 0 11 Feb 2022
Adaptive Mixing of Auxiliary Losses in Supervised Learning D. Sivasubramanian Ayush Maheshwari Pradeep Shenoy A. Prathosh Ganesh Ramakrishnan 29 5 0 07 Feb 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 42 75 0 07 Feb 2022
Advances in MetaDL: AAAI 2021 challenge and workshop Adrian El Baz Isabelle M Guyon Zhengying Liu J. V. Rijn Sébastien Treguer Joaquin Vanschoren 20 7 0 01 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
A Simple Guard for Learned Optimizers Isabeau Prémont-Schwarz Jaroslav Vítkru Jan Feyereisl 49 7 0 28 Jan 2022
Explanatory Learning: Beyond Empiricism in Neural Networks Antonio Norelli Giorgio Mariani Luca Moschella Andrea Santilli Giambattista Parascandolo Simone Melzi Emanuele Rodolà 14 2 0 25 Jan 2022
PaRT: Parallel Learning Towards Robust and Transparent AI Mahsa Paknezhad Hamsawardhini Rengarajan Chenghao Yuan Sujanya Suresh Manas Gupta Savitha Ramasamy Hwee Kuan Lee OOD 38 1 0 24 Jan 2022
On the in vivo recognition of kidney stones using machine learning F. Lopez-Tiro V. Estrade Jacques Hubert Daniel Flores-Araiza M. González-Mendoza Gilberto Ochoa C. Daul 32 28 0 21 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 18 31 0 20 Jan 2022
Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning Chenxing Wang Fang Zhao Haichao Zhang Haiyong Luo Yanjun Qin Yuchen Fang AI4TS 14 17 0 20 Jan 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy Hyunsung Lee 19 1 0 18 Jan 2022
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling Qianqian Zhang Xinru Liao Quanlian Liu Jian Xu Bo Zheng 27 52 0 18 Jan 2022
OmniPrint: A Configurable Printed Character Synthesizer Haozhe Sun Wei-Wei Tu Isabelle M Guyon SyDa 44 7 0 17 Jan 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning Vitaly Kurin Alessandro De Palma Ilya Kostrikov Shimon Whiteson M. P. Kumar 39 74 0 11 Jan 2022
MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing Xin Liu Yuntao wang S. Xie Xiaoyu Zhang Zixian Ma Daniel J. McDuff Shwetak N. Patel 28 10 0 11 Jan 2022
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning Utku Evci Vincent Dumoulin Hugo Larochelle Michael C. Mozer 30 83 0 10 Jan 2022
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach Davide Buffelli Fabio Vandin AI4CE 22 6 0 10 Jan 2022
Self-directed Machine Learning Wenwu Zhu Xin Wang P. Xie 16 6 0 04 Jan 2022
Distributed Evolution Strategies Using TPUs for Meta-Learning Alex Sheng J. He 8 2 0 01 Jan 2022
Data-Free Knowledge Transfer: A Survey Yuang Liu Wei Zhang Jun Wang Jianyong Wang 35 48 0 31 Dec 2021