Bayesian Model-Agnostic Meta-Learning

11 June 2018

Papers citing "Bayesian Model-Agnostic Meta-Learning"

50 / 86 papers shown

Title
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning Qi Xu J. Zhu D. Zhou Hao Chen Y. Liu Jiangrong Shen Qiang Zhang 26 0 0 12 May 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu W. Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 90 0 0 27 Apr 2025
Proxy-informed Bayesian transfer learning with unknown sources Sabina J. Sloman Julien Martinelli Samuel Kaski 35 0 0 05 Nov 2024
Bayesian meta learning for trustworthy uncertainty quantification Zhenyuan Yuan Thinh T. Doan UQCV 27 0 0 27 Jul 2024
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 23 2 0 16 Oct 2023
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL Jacob Beck Risto Vuorio Zheng Xiong Shimon Whiteson 29 9 0 26 Sep 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 19 70 0 10 Jul 2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning Shiyu Liu Shaogao Lv Dun Zeng Zenglin Xu Hongya Wang Yue Yu FedML 22 3 0 05 Jul 2023
SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders Qingsen Yan Song Zhang Weiye Chen Hao Tang Yu Zhu Jinqiu Sun Luc Van Gool Yanning Zhang 27 14 0 14 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 22 15 0 04 Apr 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients Yilang Zhang Bingcong Li Shi-Ji Gao G. Giannakis BDL 10 9 0 31 Mar 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Tongliang Liu Chun Yuan Dacheng Tao 47 4 0 20 Mar 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou Pierre Alquier Badr-Eddine Chérief-Abdellatif 37 8 0 23 Feb 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 34 121 0 19 Jan 2023
Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes Konstantin Mishchenko Slavomír Hanzely Peter Richtárik FedML 24 5 0 17 Jan 2023
Task Weighting in Meta-learning with Trajectory Optimisation Cuong C. Nguyen Thanh-Toan Do G. Carneiro 21 3 0 04 Jan 2023
Evidential Conditional Neural Processes Deepshikha Pandey Qi Yu BDL EDL UQCV 12 13 0 30 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks Samuel Hess G. Ditzler 44 2 0 26 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 35 7 0 14 Nov 2022
Optimizing Closed-Loop Performance with Data from Similar Systems: A Bayesian Meta-Learning Approach Ankush Chakrabarty 17 9 0 31 Oct 2022
MARS: Meta-Learning as Score Matching in the Function Space Krunoslav Lehman Pavasovic Jonas Rothfuss Andreas Krause BDL 27 4 0 24 Oct 2022
MetaEMS: A Meta Reinforcement Learning-based Control Framework for Building Energy Management System Huiliang Zhang Di Wu Benoit Boulet 19 6 0 23 Oct 2022
Uncertainty-Aware Meta-Learning for Multimodal Task Distributions Cesar Almecija Apoorva Sharma Navid Azizan OOD UQCV 17 3 0 04 Oct 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 27 17 0 22 Aug 2022
Convolutional Ensembling based Few-Shot Defect Detection Technique Soumyajit Karmakar Abeer Banerjee P. Gidde Sumeet Saurav S. Singh UQCV 19 2 0 05 Aug 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning Konstantinos Kalais S. Chatzis BDL 31 8 0 02 Aug 2022
Metric Based Few-Shot Graph Classification Donato Crisostomi Simone Antonelli Valentino Maiorca Luca Moschella R. Marin Emanuele Rodolà 22 5 0 08 Jun 2022
Functional Ensemble Distillation Coby Penso Idan Achituve Ethan Fetaya FedML 23 2 0 05 Jun 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification Zaiyun Yang VLM DRL 16 1 0 30 May 2022
Fast Inference and Transfer of Compositional Task Structures for Few-shot Task Generalization Sungryull Sohn Hyunjae Woo Jongwook Choi lyubing qiang Izzeddin Gur Aleksandra Faust Honglak Lee BDL OffRL 24 3 0 25 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 342 0 13 May 2022
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines I. Nikoloska Osvaldo Simeone AI4CE 11 3 0 31 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 19 7 0 28 Feb 2022
Grassmann Stein Variational Gradient Descent Xingtu Liu Harrison Zhu Jean-François Ton George Wynne Andrew Duncan 23 12 0 07 Feb 2022
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 19 139 0 20 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 38 21 0 15 Dec 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning Zhe Wang J. E. Grigsby Arshdeep Sekhon Yanjun Qi 47 4 0 27 Sep 2021
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 26 185 0 22 Aug 2021
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 23 12 0 02 Aug 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 24 1 0 05 Jul 2021
Sampling with Mirrored Stein Operators Jiaxin Shi Chang-rui Liu Lester W. Mackey 45 19 0 23 Jun 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning Chaofan CHEN Xiaoshan Yang Changsheng Xu Xuhui Huang Zhe Ma 23 50 0 16 Jun 2021
Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss Dominique Heyn Jinfan Chen Andreas Krause 26 27 0 06 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 40 9 0 05 Jun 2021
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages E. Ponti Rahul Aralikatte Disha Shrivastava Siva Reddy Anders Søgaard 32 16 0 02 Jun 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 29 124 0 14 May 2021
Stein's Method Meets Computational Statistics: A Review of Some Recent Developments Andreas Anastasiou Alessandro Barp F. Briol B. Ebner Robert E. Gaunt ... Qiang Liu Lester W. Mackey Chris J. Oates G. Reinert Yvik Swan 22 35 0 07 May 2021
Few-shot Learning for Topic Modeling Tomoharu Iwata BDL 22 6 0 19 Apr 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms Ali Ghadirzadeh Xi Chen Petra Poklukar Chelsea Finn Mårten Björkman Danica Kragic BDL 24 41 0 05 Mar 2021
Fast Adaptation with Linearized Neural Networks Wesley J. Maddox Shuai Tang Pablo G. Moreno A. Wilson Andreas C. Damianou 19 32 0 02 Mar 2021