Meta-Learning of Neural Architectures for Few-Shot Learning

25 November 2019

Papers citing "Meta-Learning of Neural Architectures for Few-Shot Learning"

31 / 31 papers shown

Title
Onboard Optimization and Learning: A Survey Monirul Islam Pavel Siyi Hu Mahardhika Pratama Ryszard Kowalczyk 33 0 0 07 May 2025
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning Richa Upadhyay Ronald Phlypo Rajkumar Saini Marcus Liwicki 42 0 0 21 Jan 2025
Robust and Efficient Transfer Learning via Supernet Transfer in Warm-started Neural Architecture Search Prabhant Singh Joaquin Vanschoren AAML OOD 47 0 0 26 Jul 2024
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy Risheng Liu Zhu Liu Wei-Ting Yao Shangzhi Zeng Jin Zhang 49 6 0 16 May 2024
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment Lei Wang Jun Liu Liang Zheng Tom Gedeon Piotr Koniusz 40 9 0 07 Feb 2024
What Can AutoML Do For Continual Learning? Mert Kilickaya Joaquin Vanschoren 37 1 0 20 Nov 2023
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning Huan Zhang Jinliang Ding Liang Feng Kay Chen Tan Ke Li 39 3 0 19 Oct 2023
Few-shot Action Recognition with Captioning Foundation Models Xiang Wang Shiwei Zhang Hangjie Yuan Yingya Zhang Changxin Gao Deli Zhao Nong Sang VLM 43 7 0 16 Oct 2023
Online Loss Function Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang 38 5 0 30 Jan 2023
Revisiting the Spatial and Temporal Modeling for Few-shot Action Recognition Jiazheng Xing Mengmeng Wang Yong-Jin Liu B. Mu ViT 21 33 0 19 Jan 2023
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition Lei Wang Piotr Koniusz 51 27 0 30 Oct 2022
Meta-Ensemble Parameter Learning Zhengcong Fei Shuman Tian Junshi Huang Xiaoming Wei Xiaolin K. Wei OOD 44 2 0 05 Oct 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang FedML 33 11 0 19 Sep 2022
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition M. Han Yibing Zhan Yong Luo Bo Du Han Hu Yonggang Wen Dacheng Tao 21 6 0 07 Sep 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 59 345 0 13 May 2022
Warm-starting DARTS using meta-learning Matej Grobelnik Joaquin Vanschoren AI4CE 31 1 0 12 May 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning Haoxiang Wang Yite Wang Ruoyu Sun Bo-wen Li 33 27 0 17 Mar 2022
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve Lei Wang Jun Liu Piotr Koniusz 42 20 0 23 Dec 2021
Across-Task Neural Architecture Search via Meta Learning Jingtao Rong Xinyi Yu Mingyang Zhang L. Ou 25 1 0 12 Oct 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 85 455 0 13 Jul 2021
Bag of Tricks for Neural Architecture Search T. Elsken B. Staffler Arber Zela J. H. Metzen Frank Hutter 27 5 0 08 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee Eunyoung Hyung Sung Ju Hwang 40 43 0 02 Jul 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
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing M. Khodak Renbo Tu Tian Li Liam Li Maria-Florina Balcan Virginia Smith Ameet Talwalkar FedML 43 78 0 08 Jun 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
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 95 1,939 0 11 Apr 2020
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 178 666 0 07 Jun 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 499 0 24 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 496 11,727 0 09 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,331 0 05 Nov 2016