Meta-Learning in Neural Networks: A Survey

11 April 2020

Timothy M. Hospedales

Amos Storkey

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

50 / 832 papers shown

Title
Self-supervision of wearable sensors time-series data for influenza detection Arinbjorn Kolbeinsson Piyusha S. Gade R. Kainkaryam Filip Jankovic L. Foschini OOD AI4TS 14 4 0 27 Dec 2021
MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios Xiaofeng Pan Ming Li Jing Zhang Keren Yu Luping Wang Hong Wen Chengjun Mao Bo Cao 10 8 0 27 Dec 2021
Dual Path Structural Contrastive Embeddings for Learning Novel Objects Bingbin Li E. Cui Yanan Li Donghui Wang Weng Kee Wong 19 1 0 23 Dec 2021
Meta-Learning and Self-Supervised Pretraining for Real World Image Translation Ileana Rugina Rumen Dangovski Mark S. Veillette Pooya Khorrami Brian Cheung Olga Simek M. Soljavcić VLM SSL 25 2 0 22 Dec 2021
Few-Shot Object Detection: A Comprehensive Survey Mona Köhler M. Eisenbach H. Groß ObjD 32 59 0 22 Dec 2021
Improving Both Domain Robustness and Domain Adaptability in Machine Translation Wen Lai Jindrich Libovický Alexander Fraser AI4CE 35 13 0 15 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 24 59 0 13 Dec 2021
$Up to 100$\times$ Faster Data-free Knowledge Distillation$ Up to 100 $\times$ Faster Data-free Knowledge Distillation Gongfan Fang Kanya Mo Xinchao Wang Mingli Song Shitao Bei Haofei Zhang Xiuming Zhang DD 36 4 0 12 Dec 2021
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records Tianyi Zhang Shirui Zhang Ziwei Chen Dianbo Liu FedML 28 4 0 10 Dec 2021
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey Xun Chen Chang Li Aiping Liu Martin J. McKeown Ruobing Qian Z. J. Wang 19 70 0 08 Dec 2021
A Survey of Deep Learning for Low-Shot Object Detection Qihan Huang Haofei Zhang Mengqi Xue Mingli Song Xiuming Zhang ObjD 38 18 0 06 Dec 2021
TRNR: Task-Driven Image Rain and Noise Removal with a Few Images Based on Patch Analysis Wu Ran Bohong Yang Peirong Ma Hong-wei Lu 21 9 0 03 Dec 2021
Meta Arcade: A Configurable Environment Suite for Meta-Learning Edward W. Staley C. Ashcraft Ben Stoler Jared Markowitz Gautam K. Vallabha Christopher R. Ratto Kapil D. Katyal 19 6 0 01 Dec 2021
Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review Richa Upadhyay Ronald Phlypo Rajkumar Saini Marcus Liwicki CLL 21 5 0 23 Nov 2021
Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology Tian Cai Li Xie Muge Chen Yang Liu Di He Shuo-feng Zhang C. Mura P. Bourne Lei Xie OOD 21 4 0 23 Nov 2021
Reviewing continual learning from the perspective of human-level intelligence Yifan Chang Wenbo Li Jian Peng Bo Tang Yuzhi Kang Yinjie Lei Yuanmiao Gui Qing Zhu Yu Liu Haifeng Li 39 4 0 23 Nov 2021
Reinforcement Learning for Few-Shot Text Generation Adaptation Pengsen Cheng Jinqiao Dai Jiamiao Liu Jiayong Liu Peng Jia 35 5 0 22 Nov 2021
Docking-based Virtual Screening with Multi-Task Learning Zijing Liu Xianbin Ye Xiaomin Fang Fan Wang Hua Wu Haifeng Wang 14 2 0 18 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges Mohammad M. Al-Quraan Lina S. Mohjazi Lina Bariah A. Centeno A. Zoha Sami Muhaidat Mérouane Debbah Muhammad Ali Imran 22 62 0 14 Nov 2021
Fine-Grained Image Analysis with Deep Learning: A Survey Xiu-Shen Wei Yi-Zhe Song Oisin Mac Aodha Jianxin Wu Yuxin Peng Jinhui Tang Jian Yang Serge Belongie 74 279 0 11 Nov 2021
Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation Minyoung Kim Timothy M. Hospedales BDL 17 5 0 09 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... C. Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 41 50 0 09 Nov 2021
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition Kai Wang Xialei Liu Andrew D. Bagdanov Luis Herranz Shang Rui Joost van de Weijer CLL VLM 36 9 0 09 Nov 2021
Successor Feature Neural Episodic Control David Emukpere Xavier Alameda-Pineda Chris Reinke BDL 30 4 0 04 Nov 2021
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks Maksym Yatsura J. H. Metzen Matthias Hein OOD 26 14 0 02 Nov 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP Trapit Bansal K. Gunasekaran Tong Wang Tsendsuren Munkhdalai Andrew McCallum SSL OOD 51 19 0 02 Nov 2021
Accelerating Gradient-based Meta Learner Varad Pimpalkhute Amey Pandit Mayank Mishra Rekha Singhal 14 1 0 27 Oct 2021
On sensitivity of meta-learning to support data Mayank Agarwal Mikhail Yurochkin Yuekai Sun 24 20 0 26 Oct 2021
A Metalearning Approach for Physics-Informed Neural Networks (PINNs): Application to Parameterized PDEs Michael Penwarden Shandian Zhe A. Narayan Robert M. Kirby PINN AI4CE 33 39 0 26 Oct 2021
Parameter Prediction for Unseen Deep Architectures Boris Knyazev M. Drozdzal Graham W. Taylor Adriana Romero Soriano OOD 29 79 0 25 Oct 2021
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation Giorgio Giannone Fattane Pourakpour DRL BDL 22 10 0 23 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 188 879 0 21 Oct 2021
On Hard Episodes in Meta-Learning S. Basu Amr Sharaf Nicolò Fusi S. Feizi 8 1 0 21 Oct 2021
Contextual Gradient Scaling for Few-Shot Learning Sang Hyuk Lee Seunghyun Lee B. Song 14 6 0 20 Oct 2021
A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning Damien Bouchabou S. Nguyen Christopher Lohr Benoit Leduc Ioannis Kanellos 40 130 0 18 Oct 2021
Meta-Learning with Adjoint Methods Shibo Li Zheng Wang A. Narayan Robert M. Kirby Shandian Zhe 12 4 0 16 Oct 2021
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding Jingya Zhou Ling Liu Wenqi Wei Jianxi Fan AI4TS 43 73 0 14 Oct 2021
Deep Long-Tailed Learning: A Survey Yifan Zhang Bingyi Kang Bryan Hooi Shuicheng Yan Jiashi Feng VLM 18 559 0 09 Oct 2021
Meta-Learning 3D Shape Segmentation Functions Yu Hao Hao Huang Shuaihang Yuan Yi Fang OOD 3DPC 30 0 0 08 Oct 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability Martin Mundt Steven Braun Quentin Delfosse Kristian Kersting 27 35 0 07 Oct 2021
Meta-learning an Intermediate Representation for Few-shot Block-wise Prediction of Landslide Susceptibility Li Chen Yulin Ding Saeid Pirasteh Han Hu Qing Zhu Haowei Zeng Haojia Yu Qisen Shang Yongfei Song 16 9 0 03 Oct 2021
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset Wanyu Bian Yunmei Chen X. Ye Qingchao Zhang 36 26 0 02 Oct 2021
Inexact bilevel stochastic gradient methods for constrained and unconstrained lower-level problems Tommaso Giovannelli G. Kent Luis Nunes Vicente 33 12 0 01 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 62 54 0 28 Sep 2021
Multimodality in Meta-Learning: A Comprehensive Survey Yao Ma Shilin Zhao Weixiao Wang Yaoman Li Irwin King 50 53 0 28 Sep 2021
Click-through Rate Prediction with Auto-Quantized Contrastive Learning Yujie Pan Jiangchao Yao Bo Han Kunyang Jia Ya Zhang Hongxia Yang MQ 32 18 0 27 Sep 2021
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks Gaël Guibon Matthieu Labeau Hélène Flamein Luce Lefeuvre Chloé Clavel 49 33 0 20 Sep 2021
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning M. Crawshaw Jana Kosecka 26 7 0 16 Sep 2021
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD Chen Fan Parikshit Ram Sijia Liu FedML 61 16 0 15 Sep 2021
Few-shot Quality-Diversity Optimization Achkan Salehi Alexandre Coninx Stéphane Doncieux 19 14 0 14 Sep 2021