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Meta-Learning Probabilistic Inference For Prediction
24 May 2018
Jonathan Gordon
J. Bronskill
Matthias Bauer
Sebastian Nowozin
Richard Turner
BDL
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Papers citing
"Meta-Learning Probabilistic Inference For Prediction"
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Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning
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Federated Learning via Meta-Variational Dropout
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Neural Variational Dropout Processes
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X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model
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11 Oct 2025
metabeta -- A fast neural model for Bayesian mixed-effects regression
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08 Oct 2025
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286
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On Quantification of Borrowing of Information in Hierarchical Bayesian Models
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22 Sep 2025
GraphPPD: Posterior Predictive Modelling for Graph-Level Inference
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Amine Natik
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Mark Coates
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188
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23 Aug 2025
Sparse Gaussian Neural Processes
Symposium on Advances in Approximate Bayesian Inference (AABI), 2025
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Vincent Fortuin
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487
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02 Apr 2025
Skill Expansion and Composition in Parameter Space
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Junjie Li
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Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
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Fausto Giunchiglia
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Lan Huang
Xiaoyue Feng
Renchu Guan
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10 Jan 2025
Bridge the Inference Gaps of Neural Processes via Expectation Maximization
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H. V. Hoof
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Huijie Guo
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Jiangmeng Li
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Hui Xiong
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432
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Proxy-informed Bayesian transfer learning with unknown sources
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Sabina J. Sloman
Julien Martinelli
Samuel Kaski
507
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Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
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Yiqin Lv
Qi Wang
Dong Liang
Zheng Xie
314
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30 Oct 2024
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Divyat Mahajan
Jannes Gladrow
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Alfredo Reichlin
Gustaf Tegnér
Miguel Vasco
Hang Yin
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Danica Kragic
291
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Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation
European Conference on Computer Vision (ECCV), 2024
Zhaoyang Li
Yuan Wang
Wangkai Li
Rui Sun
Tianzhu Zhang
276
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Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios
Patricia A. Apellániz
Ana Jiménez
Borja Arroyo Galende
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Santiago Zazo
461
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03 Jul 2024
Learning to Continually Learn with the Bayesian Principle
Soochan Lee
Hyeonseong Jeon
Jaehyeon Son
Gunhee Kim
BDL
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243
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Mixture of In-Context Prompters for Tabular PFNs
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Olcay Cirit
Reza Asadi
Luke Huan
Wei Wang
376
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Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model
Zita Lifelo
Huansheng Ning
Sahraoui Dhelim
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322
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Class-Incremental Few-Shot Event Detection
International Conference on Language Resources and Evaluation (LREC), 2024
Kailin Zhao
Xiaolong Jin
Long Bai
Jiafeng Guo
Xueqi Cheng
VLM
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303
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02 Apr 2024
Query-guided Prototype Evolution Network for Few-Shot Segmentation
IEEE transactions on multimedia (IEEE TMM), 2024
Runmin Cong
Hang Xiong
Jinpeng Chen
Wei Zhang
Qingming Huang
Yao Zhao
272
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FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel Manifolds
H. Tabealhojeh
S. Roy
Peyman Adibi
Hossein Karshenas
262
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Hacking Task Confounder in Meta-Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Wenwen Qiang
Yi Ren
Changwen Zheng
Xingzhe Su
Changwen Zheng
Jingyao Wang
CML
625
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Latent Task-Specific Graph Network Simulators
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Niklas Freymuth
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Tai Hoang
Gerhard Neumann
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372
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Episodic Multi-Task Learning with Heterogeneous Neural Processes
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Jiayi Shen
Xiantong Zhen
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M. Worring
273
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Tommy Rochussen
Adrian Weller
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247
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Bayesian Active Learning in the Presence of Nuisance Parameters
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Sabina J. Sloman
Ayush Bharti
Julien Martinelli
Samuel Kaski
400
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Amortized Network Intervention to Steer the Excitatory Point Processes
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Wendi Ren
Sourav Garg
401
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Qi Wang
Yiqin Lv
Yanghe Feng
Zheng Xie
Jincai Huang
308
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Amortised Inference in Bayesian Neural Networks
Tommy Rochussen
UQCV
BDL
240
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From system models to class models: An in-context learning paradigm
IEEE Control Systems Letters (L-CSS), 2023
Marco Forgione
F. Pura
Dario Piga
326
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25 Aug 2023
Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction
Shiyao Cui
Xin Cong
Shuaiyi Nie
Xuebin Wang
Tingwen Liu
Jinqiao Shi
181
1
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In-Context Learning Learns Label Relationships but Is Not Conventional Learning
International Conference on Learning Representations (ICLR), 2023
Jannik Kossen
Y. Gal
Tom Rainforth
713
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23 Jul 2023
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation
Massimiliano Patacchiola
Mingfei Sun
Katja Hofmann
Richard Turner
OffRL
312
1
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23 Jun 2023
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning
Minyoung Kim
Timothy M. Hospedales
BDL
218
0
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16 Jun 2023
FewSAR: A Few-shot SAR Image Classification Benchmark
Rui Zhang
Ziqi Wang
Yongqian Li
Jiabao Wang
Zhiteng Wang
237
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16 Jun 2023
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning
Yingjun Du
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
383
3
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08 Jun 2023
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Xinyang Liu
Dongsheng Wang
Bowei Fang
Miaoge Li
Zhibin Duan
Yishi Xu
Bo Chen
Mingyuan Zhou
VLM
VPVLM
367
10
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16 Mar 2023
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection
IEEE Transactions on Computational Social Systems (IEEE TCSS), 2023
Rabiul Awal
Roy Ka-wei Lee
Eshaan Tanwar
Tanmay Garg
Tanmoy Chakraborty
246
40
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04 Mar 2023
Contrastive Meta-Learning for Partially Observable Few-Shot Learning
International Conference on Learning Representations (ICLR), 2023
Adam Jelley
Amos Storkey
Antreas Antoniou
Sam Devlin
223
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Transformers learn in-context by gradient descent
International Conference on Machine Learning (ICML), 2022
J. Oswald
Eyvind Niklasson
E. Randazzo
João Sacramento
A. Mordvintsev
A. Zhmoginov
Max Vladymyrov
MLT
642
697
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15 Dec 2022
Evidential Conditional Neural Processes
AAAI Conference on Artificial Intelligence (AAAI), 2022
Deepshikha Pandey
Qi Yu
BDL
EDL
UQCV
227
18
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Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners
E. T. Oldewage
J. Bronskill
Richard Turner
171
4
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Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation
Neural Information Processing Systems (NeurIPS), 2022
Zhizhou Ren
Hoang Trung-Dung
Yitao Liang
Jian-wei Peng
Jianzhu Ma
228
10
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20 Nov 2022
Hypernetwork approach to Bayesian MAML
Piotr Borycki
Piotr Kubacki
Marcin Przewiȩźlikowski
Tomasz Kuśmierczyk
Jacek Tabor
Przemysław Spurek
BDL
208
2
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06 Oct 2022
Bayesian Prompt Learning for Image-Language Model Generalization
IEEE International Conference on Computer Vision (ICCV), 2022
Mohammad Mahdi Derakhshani
Enrique Sanchez
Adrian Bulat
Victor G. Turrisi da Costa
Cees G. M. Snoek
Georgios Tzimiropoulos
Brais Martínez
VPVLM
VLM
522
65
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05 Oct 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yuqing Hu
S. Pateux
Vincent Gripon
304
23
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18 Sep 2022
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