On First-Order Meta-Learning Algorithms

8 March 2018

Papers citing "On First-Order Meta-Learning Algorithms"

50 / 1,156 papers shown

Title
Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis Ke Liu Feng Liu Haishuai Wang Ning Ma Jiajun Bu Bo Han 26 12 0 22 Oct 2023
Stable Nonconvex-Nonconcave Training via Linear Interpolation Thomas Pethick Wanyun Xie V. Cevher 27 5 0 20 Oct 2023
Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization Ningyu Xu Qi Zhang Jingting Ye Menghan Zhang Xuanjing Huang 41 4 0 19 Oct 2023
Context-Aware Meta-Learning Christopher Fifty Dennis Duan Ronald G. Junkins Ehsan Amid Jurij Leskovec Christopher Ré Sebastian Thrun LRM VLM MLLM 27 10 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
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks Woojin Cho Kookjin Lee Donsub Rim Noseong Park AI4CE PINN 37 16 0 14 Oct 2023
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification Qianyu Guo Huifang Du Xing Jia Shuyong Gao Yan Teng Haofen Wang Wenqiang Zhang MedIm VLM 21 0 0 14 Oct 2023
Subspace Adaptation Prior for Few-Shot Learning Mike Huisman Aske Plaat Jan N. van Rijn VLM 24 2 0 13 Oct 2023
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining Licong Lin Yu Bai Song Mei OffRL 32 43 0 12 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 55 55 0 10 Oct 2023
Leveraging Neural Radiance Fields for Uncertainty-Aware Visual Localization Le Chen Weirong Chen Rui Wang Marc Pollefeys UQCV 35 8 0 10 Oct 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques Mike Huisman Aske Plaat Jan N. van Rijn MLT 43 9 0 09 Oct 2023
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning Junhoo Lee Jayeon Yoo Nojun Kwak 27 2 0 04 Oct 2023
Robot Fleet Learning via Policy Merging Lirui Wang Kaiqing Zhang Allan Zhou Max Simchowitz Russ Tedrake 42 4 0 02 Oct 2023
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm Qi Wang Yiqin Lv Yanghe Feng Zheng Xie Jincai Huang 19 9 0 01 Oct 2023
AdaptNet: Policy Adaptation for Physics-Based Character Control Pei Xu Kaixiang Xie Sheldon Andrews P. Kry Michael Neff Morgan McGuire Ioannis Karamouzas Victor Zordan TTA 37 16 0 30 Sep 2023
Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis Marcel C. Bühler Kripasindhu Sarkar Tanmay Shah Gengyan Li Daoye Wang ... Sergio Orts Dmitry Lagun Otmar Hilliges Thabo Beeler Abhimitra Meka CVBM 3DH 39 20 0 28 Sep 2023
Domain Adaptive Few-Shot Open-Set Learning Debabrata Pal Deeptej More Sai Bhargav Dipesh Tamboli Vaneet Aggarwal Biplab Banerjee 29 2 0 22 Sep 2023
A Systematic Review of Few-Shot Learning in Medical Imaging Eva Pachetti Sara Colantonio 33 17 0 20 Sep 2023
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words Yating Xu Conghui Hu Na Zhao Gim Hee Lee 3DPC 25 6 0 20 Sep 2023
Generalizable Neural Fields as Partially Observed Neural Processes Jeffrey Gu Kuan-Chieh Jackson Wang Serena Yeung AI4CE 36 4 0 13 Sep 2023
Convergence of Gradient-based MAML in LQR N. Musavi Geir E. Dullerud 28 5 0 12 Sep 2023
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise Jeroen Galjaard Robert Birke Juan F. Pérez Lydia Y. Chen NoLa 21 0 0 12 Sep 2023
Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains Peiyang Li Ye Wang Qi Li Zhuotao Liu Ke Xu Ju Ren Zhiying Liu Ruilin Lin AAML 18 8 0 07 Sep 2023
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation Keyu Chen Zhuang Di Mingchen Li J. M. Chang 22 3 0 06 Sep 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 14 13 0 26 Aug 2023
Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank Zhanyu Liu Guanjie Zheng Yanwei Yu AI4TS 16 30 0 17 Aug 2023
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan Yongheng Sun Fan Wang Jun Shu Haifeng Wang Li Meng C. Lian 30 1 0 13 Aug 2023
Meta-learning in healthcare: A survey Alireza Rafiei Ronald Moore S. Jahromi F. Hajati Rishikesan Kamaleswaran 22 8 0 05 Aug 2023
A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects Jiapu Wang Boyue Wang M. Qiu Shirui Pan Bo Xiong ... Linhao Luo Tengfei Liu Yongli Hu Baocai Yin Wen Gao 38 19 0 04 Aug 2023
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning Yihua Zhang Prashant Khanduri Ioannis C. Tsaknakis Yuguang Yao Min-Fong Hong Sijia Liu AI4CE 41 25 0 01 Aug 2023
Image Synthesis under Limited Data: A Survey and Taxonomy Mengping Yang Zhe Wang 28 8 0 31 Jul 2023
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning Baoquan Zhang Chuyao Luo Demin Yu Huiwei Lin Xutao Li Yunming Ye Bowen Zhang DiffM 40 42 0 31 Jul 2023
Learning with Constraint Learning: New Perspective, Solution Strategy and Various Applications Risheng Liu Jiaxin Gao Xuan Liu Xin-Yue Fan 37 9 0 28 Jul 2023
EqGAN: Feature Equalization Fusion for Few-shot Image Generation Yingbo Zhou Zhihao Yue Yutong Ye Pengyu Zhang Xian Wei Mingsong Chen 32 1 0 27 Jul 2023
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot Milad Abdollahzadeh Touba Malekzadeh Christopher T. H. Teo Keshigeyan Chandrasegaran Guimeng Liu Ngai-man Cheung VLM MedIm 47 21 0 26 Jul 2023
INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations Louis Serrano Léon Migus Yuan Yin Jocelyn Ahmed Mazari Patrick Gallinari AI4CE 8 4 0 25 Jul 2023
Cos R-CNN for Online Few-shot Object Detection G. P. Data Henry Howard-Jenkins D. W. Murray V. Prisacariu ObjD 27 1 0 25 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 244 0 20 Jul 2023
Forecasting Early with Meta Learning Shayan Jawed Kiran Madhusudhanan Vijaya Krishna Yalavarthi Lars Schmidt-Thieme AI4TS 29 0 0 19 Jul 2023
Improved Distribution Matching for Dataset Condensation Ganlong Zhao Guanbin Li Yipeng Qin Yizhou Yu DD 23 80 0 19 Jul 2023
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Zachary B. Charles Nicole Mitchell Krishna Pillutla Michael Reneer Zachary Garrett FedML AI4CE 36 28 0 18 Jul 2023
TinyMetaFed: Efficient Federated Meta-Learning for TinyML Haoyu Ren Xue Li Darko Anicic Thomas Runkler 30 3 0 13 Jul 2023
Measuring and Mitigating Interference in Reinforcement Learning Vincent Liu Han Wang Ruo Yu Tao Khurram Javed Adam White Martha White 22 5 0 10 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 24 70 0 10 Jul 2023
Meta-Learning Adversarial Bandit Algorithms M. Khodak Ilya Osadchiy Keegan Harris Maria-Florina Balcan Kfir Y. Levy Ron Meir Zhiwei Steven Wu FedML 26 2 0 05 Jul 2023
Elastically-Constrained Meta-Learner for Federated Learning Peng Lan Donglai Chen Chong Xie Keshu Chen Jinyuan He Juntao Zhang Yonghong Chen Yan Xu FedML 20 0 0 29 Jun 2023
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles Le‐Yu Chen Yaohua Ma Junzhe Zhang 84 2 0 26 Jun 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 29 43 0 25 Jun 2023
A First Order Meta Stackelberg Method for Robust Federated Learning Yunian Pan Tao Li Henger Li Tianyi Xu Zizhan Zheng Quanyan Zhu FedML 32 10 0 23 Jun 2023