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
Episodic-free Task Selection for Few-shot Learning Tao Zhang 15 0 0 31 Jan 2024
Learning Universal Predictors Jordi Grau-Moya Tim Genewein Marcus Hutter Laurent Orseau Grégoire Delétang ... Anian Ruoss Wenliang Kevin Li Christopher Mattern Matthew Aitchison J. Veness 27 11 0 26 Jan 2024
MADA: Meta-Adaptive Optimizers through hyper-gradient Descent Kaan Ozkara Can Karakus Parameswaran Raman Mingyi Hong Shoham Sabach B. Kveton V. Cevher 27 2 0 17 Jan 2024
Low-Resource Vision Challenges for Foundation Models Yunhua Zhang Hazel Doughty Cees G. M. Snoek VLM 30 5 0 09 Jan 2024
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems Youshao Xiao Shangchun Zhao Zhenglei Zhou Zhaoxin Huan Lin Ju Xiaolu Zhang Lin Wang Jun Zhou OffRL 44 8 0 09 Jan 2024
Marginal Debiased Network for Fair Visual Recognition Mei Wang Weihong Deng Sen Su 35 0 0 04 Jan 2024
Selective-Memory Meta-Learning with Environment Representations for Sound Event Localization and Detection Jinbo Hu Yin Cao Ming Wu Qiuqiang Kong Feiran Yang Mark D. Plumbley Jun Yang 24 1 0 27 Dec 2023
Bayesian Transfer Learning Piotr M. Suder Jason Xu David B. Dunson 36 5 0 20 Dec 2023
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios Wenhao Ding Yulong Cao Ding Zhao Chaowei Xiao Marco Pavone 27 22 0 19 Dec 2023
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes Nabeel Seedat Nicolas Huynh B. V. Breugel M. Schaar 26 25 0 19 Dec 2023
The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations Zebin Yun Achi-Or Weingarten Eyal Ronen Mahmood Sharif 25 2 0 18 Dec 2023
From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape Timothy R. McIntosh Teo Susnjak Tong Liu Paul Watters Malka N. Halgamuge 94 46 0 18 Dec 2023
ReFusion: Learning Image Fusion from Reconstruction with Learnable Loss via Meta-Learning Haowen Bai Zixiang Zhao Jiangshe Zhang Yichen Wu Lilun Deng Yukun Cui Shuang Xu Baisong Jiang 40 6 0 13 Dec 2023
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics Jenny Hamer Eleni Triantafillou B. V. Merrienboer Stefan Kahl Holger Klinck Tom Denton Vincent Dumoulin 44 14 0 12 Dec 2023
Improving the performance of weak supervision searches using transfer and meta-learning H. Beauchesne Zong-En Chen Cheng-Wei Chiang 20 8 0 11 Dec 2023
Hacking Task Confounder in Meta-Learning Wenwen Qiang Yi Ren Changwen Zheng Xingzhe Su Changwen Zheng Jingyao Wang CML 26 8 0 10 Dec 2023
Generative AI for Physical Layer Communications: A Survey Nguyen Van Huynh Jiacheng Wang Hongyang Du D. Hoang Dusit Niyato Diep N. Nguyen Dong In Kim K. B. Letaief AI4CE 36 31 0 09 Dec 2023
UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control Maonan Wang Xi Xiong Yuheng Kan Chengcheng Xu Man-On Pun 16 9 0 08 Dec 2023
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning Shuangmei Wang Yang Cao Tieru Wu CLL 30 0 0 07 Dec 2023
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification Victor G. Turrisi da Costa Nicola Dall’Asen Yiming Wang N. Sebe Elisa Ricci 46 3 0 05 Dec 2023
Interpretable Meta-Learning of Physical Systems Matthieu Blanke Marc Lelarge AI4CE 30 5 0 01 Dec 2023
Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers M. Terris Thomas Moreau 29 0 0 30 Nov 2023
A knowledge-driven AutoML architecture C. Cofaru Johan Loeckx 26 0 0 28 Nov 2023
Hierarchical Meta-learning-based Adaptive Controller Fengze Xie Guanya Shi Michael O'Connell Yisong Yue Soon-Jo Chung 29 4 0 21 Nov 2023
Few-Shot Classification & Segmentation Using Large Language Models Agent Tian Meng Yang Tao Wuliang Yin VLM 33 1 0 19 Nov 2023
Cross-subject dual-domain fusion network with task-related and task-discriminant component analysis enhancing one-shot SSVEP classification Yang Deng Zhiwei Ji Yijun Wang S.Kevin Zhou 11 0 0 14 Nov 2023
How to Do Machine Learning with Small Data? -- A Review from an Industrial Perspective I. Kraljevski Yong Chul Ju Dmitrij Ivanov Constanze Tschope M. Wolff AI4CE 25 4 0 13 Nov 2023
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy Xiaoyi Cai Siddharth Ancha Lakshay Sharma Philip R. Osteen Bernadette Bucher Stephen Phillips Jiuguang Wang Michael Everett Nicholas Roy Jonathan P. How EDL 30 32 0 10 Nov 2023
5G Positioning Advancements with AI/ML Mohammad Alawieh Georgios Kontes 8 4 0 10 Nov 2023
Latent Task-Specific Graph Network Simulators Philipp Dahlinger Niklas Freymuth Michael Volpp Tai Hoang Gerhard Neumann AI4CE 27 0 0 09 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey Jaehyeon Son Soochan Lee Gunhee Kim OOD CLL 32 11 0 09 Nov 2023
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model Cheng Cheng Lin Song Ruoyi Xue Hang Wang Hongbin Sun Yixiao Ge Ying Shan VLM ObjD 39 19 0 07 Nov 2023
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling Wonho Bae Jing Wang Danica J. Sutherland 47 1 0 06 Nov 2023
Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series Prognosis Hai Su Jiajun Hu Songsen Yu AI4TS 14 1 0 04 Nov 2023
Machine learning's own Industrial Revolution Yuan Luo Song Han Jingjing Liu AI4CE 16 0 0 04 Nov 2023
Medical Image Segmentation with Domain Adaptation: A Survey Yuemeng Li Yong-Xian Fan OOD 23 3 0 03 Nov 2023
Domain Generalization in Computational Pathology: Survey and Guidelines Mostafa Jahanifar M. Raza Kesi Xu T. Vuong R. Jewsbury ... Neda Zamanitajeddin Jin Tae Kwak S. Raza F. Minhas Nasir M. Rajpoot OOD 28 17 0 30 Oct 2023
Optimal testing using combined test statistics across independent studies Botond Szabó A. van der Vaart Lasse Vuursteen Harry Van Zanten 28 0 0 30 Oct 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes Jiayi Shen Xiantong Zhen Qi Qi Wang M. Worring 27 11 0 28 Oct 2023
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months Fady Rezk Antreas Antoniou Henry Gouk Timothy M. Hospedales ELM 16 1 0 27 Oct 2023
Knowledge Editing for Large Language Models: A Survey Song Wang Yaochen Zhu Haochen Liu Zaiyi Zheng Chen Chen Wenlin Yao KELM 77 133 0 24 Oct 2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models Pierre Colombo Victor Pellegrain Malik Boudiaf Victor Storchan Myriam Tami Ismail Ben Ayed C´eline Hudelot Pablo Piantanida 38 8 0 21 Oct 2023
Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning Atik Faysal Mohammad Rostami Huaxia Wang Avimanyu Sahoo Ryan Antle 19 0 0 19 Oct 2023
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning Huan Zhang Jinliang Ding Liang Feng Kay Chen Tan Ke Li 31 3 0 19 Oct 2023
Learning to Generate Parameters of ConvNets for Unseen Image Data Shiye Wang Kaituo Feng Changsheng Li Ye Yuan Guoren Wang 31 1 0 18 Oct 2023
An Automatic Learning Rate Schedule Algorithm for Achieving Faster Convergence and Steeper Descent Zhao Song Chiwun Yang 29 9 0 17 Oct 2023
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification Tianjun Ke Haoqun Cao Zenan Ling Feng Zhou UQCV 30 7 0 16 Oct 2023
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization Bodhisattwa Prasad Majumder Bhavana Dalvi Peter Alexander Jansen Oyvind Tafjord Niket Tandon Li Zhang Chris Callison-Burch Peter Clark LRM LLMAG CLL 21 38 0 16 Oct 2023
Farzi Data: Autoregressive Data Distillation Noveen Sachdeva Zexue He Wang-Cheng Kang Jianmo Ni D. Cheng Julian McAuley DD 23 3 0 15 Oct 2023
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework Arshia Soltani Moakhar Mohammad Azizmalayeri Hossein Mirzaei M. T. Manzuri M. Rohban 31 2 0 15 Oct 2023