Meta-Learning: A Survey

8 October 2018

Papers citing "Meta-Learning: A Survey"

50 / 125 papers shown

Title
Multi-Environment Meta-Learning in Stochastic Linear Bandits Ahmadreza Moradipari Mohammad Ghavamzadeh Taha Rajabzadeh Christos Thrampoulidis M. Alizadeh 19 4 0 12 May 2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation Jiaqi Yang Qi Lei Jason D. Lee S. Du 35 16 0 29 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 29 27 0 17 Mar 2022
Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn Alper Yegenoglu Anand Subramoney T. Hater Cristian Jimenez-Romero W. Klijn Aarn Pérez Martín Michiel A. van der Vlag Michael Herty A. Morrison Sandra Díaz-Pier 27 7 0 28 Feb 2022
Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis Yi Zhou Parikshit Ram Theodoros Salonidis Nathalie Baracaldo Horst Samulowitz Heiko Ludwig FedML 26 6 0 16 Feb 2022
Meta-learning with GANs for anomaly detection, with deployment in high-speed rail inspection system Haoyang Cao Xin Guo Guan Wang AI4TS 15 7 0 11 Feb 2022
Applications of Machine Learning in Healthcare and Internet of Things (IOT): A Comprehensive Review F. Mohammadi Farzan Shenavarmasouleh H. Arabnia 29 16 0 06 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 16 7 0 01 Feb 2022
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019 Zhengying Liu Adrien Pavao Zhen Xu Sergio Escalera Fabio Ferreira ... Peng Wang Chenglin Wu Youcheng Xiong Arber Zela Yang Zhang AAML 35 26 0 11 Jan 2022
Fusing Blockchain and AI with Metaverse: A Survey Qinglin Yang Yetong Zhao Huawei Huang Zehui Xiong Jiawen Kang Zibin Zheng 32 311 0 10 Jan 2022
Distributed Evolution Strategies Using TPUs for Meta-Learning Alex Sheng J. He 6 2 0 01 Jan 2022
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning Yi Zhou Parikshit Ram Theodoros Salonidis Nathalie Baracaldo Horst Samulowitz Heiko Ludwig AI4CE 37 25 0 15 Dec 2021
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 28 16 0 08 Dec 2021
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets Lorenzo Brigato Luca Iocchi UQCV 30 0 0 29 Nov 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 879 0 21 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 355 0 04 Oct 2021
Multimodality in Meta-Learning: A Comprehensive Survey Yao Ma Shilin Zhao Weixiao Wang Yaoman Li Irwin King 50 53 0 28 Sep 2021
A Deep Learning Perspective on Connected Automated Vehicle (CAV) Cybersecurity and Threat Intelligence M. Basnet Mohd. Hasan Ali 24 7 0 22 Sep 2021
Finetuned Language Models Are Zero-Shot Learners Jason W. Wei Maarten Bosma Vincent Zhao Kelvin Guu Adams Wei Yu Brian Lester Nan Du Andrew M. Dai Quoc V. Le ALM UQCV 35 3,567 0 03 Sep 2021
Fairness-Aware Online Meta-learning Chengli Zhao Feng Chen B. Thuraisingham FaML 37 34 0 21 Aug 2021
Bayesian Embeddings for Few-Shot Open World Recognition John Willes James Harrison Ali Harakeh Chelsea Finn Marco Pavone Steven Waslander BDL OffRL 22 18 0 29 Jul 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 35 19 0 23 Jul 2021
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition Yang Li Yu Shen Wentao Zhang Jiawei Jiang Bolin Ding ... Jingren Zhou Zhi-Xin Yang Wentao Wu Ce Zhang Bin Cui LRM 29 44 0 19 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 24 1 0 05 Jul 2021
Explaining the Performance of Multi-label Classification Methods with Data Set Properties Jasmin Bogatinovski L. Todorovski S. Džeroski D. Kocev 16 6 0 28 Jun 2021
High-level Features for Resource Economy and Fast Learning in Skill Transfer Alper Ahmetoglu Emre Ugur Minoru Asada Erhan Öztop 8 5 0 18 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
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 42 24 0 11 Jun 2021
Meta-Adaptive Nonlinear Control: Theory and Algorithms Guanya Shi Kamyar Azizzadenesheli Michael O'Connell Soon-Jo Chung Yisong Yue 29 41 0 11 Jun 2021
Artificial Intelligence in Drug Discovery: Applications and Techniques Jianyuan Deng Zhibo Yang Iwao Ojima Dimitris Samaras Fusheng Wang AI4TS 26 100 0 09 Jun 2021
Debiasing a First-order Heuristic for Approximate Bi-level Optimization Valerii Likhosherstov Xingyou Song K. Choromanski Jared Davis Adrian Weller AI4CE 19 5 0 04 Jun 2021
Towards Dynamic Feature Selection with Attention to Assist Banking Customers in Establishing a New Business M. Edrisi 27 0 0 09 May 2021
Stateless Neural Meta-Learning using Second-Order Gradients Mike Huisman Aske Plaat Jan N. van Rijn 24 7 0 21 Apr 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Clément Romac Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 27 21 0 17 Mar 2021
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation Andrea Cossu Antonio Carta Vincenzo Lomonaco D. Bacciu CLL 36 107 0 12 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 54 1,170 0 02 Mar 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 14 144 0 16 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
Learning Abstract Task Representations Mikhail M. Meskhi A. Rivolli R. G. Mantovani R. Vilalta 22 7 0 19 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 22 57 0 22 Dec 2020
Learning Prediction Intervals for Model Performance Benjamin Elder Matthew Arnold Anupama Murthi Jirí Navrátil 19 10 0 15 Dec 2020
Amazon SageMaker Autopilot: a white box AutoML solution at scale Piali Das Laurence Rouesnel Nikita Ivkin Tanya Bansal Zohar Karnin ... Giovanni Zappella Cedric Archembeau Matthias Seeger Bhaskar Dutt K. Venkateswar 17 69 0 15 Dec 2020
Meta-learning in natural and artificial intelligence Jane X. Wang 30 110 0 26 Nov 2020
Meta Automatic Curriculum Learning Rémy Portelas Clément Romac Katja Hofmann Pierre-Yves Oudeyer 29 8 0 16 Nov 2020
Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning J. Willard J. Read A. Appling S. Oliver X. Jia Vipin Kumar AI4TS 22 55 0 10 Nov 2020
A Distribution-Dependent Analysis of Meta-Learning Mikhail Konobeev Ilja Kuzborskij Csaba Szepesvári OOD 21 5 0 31 Oct 2020
A Survey on Curriculum Learning Xin Wang Yudong Chen Wenwu Zhu SyDa 32 22 0 25 Oct 2020
Hyperparameter Transfer Across Developer Adjustments Daniel Stoll Jörg Franke Diane Wagner Simon Selg Frank Hutter 27 12 0 25 Oct 2020
Medical Image Segmentation Using Deep Learning: A Survey Risheng Wang Tao Lei Xiaogang Du Yong Wan Hongying Meng A. Nandi SSeg OOD 33 544 0 28 Sep 2020
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 34 125 0 05 Aug 2020