Meta-Learning Probabilistic Inference For Prediction

24 May 2018

Papers citing "Meta-Learning Probabilistic Inference For Prediction"

39 / 39 papers shown

Title
Skill Expansion and Composition in Parameter Space Tenglong Liu J. Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 56 4 0 09 Feb 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Yonghao Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 104 0 0 10 Jan 2025
Proxy-informed Bayesian transfer learning with unknown sources Sabina J. Sloman Julien Martinelli Samuel Kaski 35 0 0 05 Nov 2024
Zero-Shot Learning of Causal Models Divyat Mahajan Jannes Gladrow Agrin Hilmkil Cheng Zhang M. Scetbon 34 1 0 08 Oct 2024
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 AI4MH 38 0 0 13 Apr 2024
In-Context Learning Learns Label Relationships but Is Not Conventional Learning Jannik Kossen Y. Gal Tom Rainforth 32 27 0 23 Jul 2023
FewSAR: A Few-shot SAR Image Classification Benchmark Rui Zhang Ziqi Wang Y. Li Jiabao Wang Zhiteng Wang 20 1 0 16 Jun 2023
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models Xinyang Liu Dongsheng Wang Bowei Fang Miaoge Li Zhibin Duan Yishi Xu Bo Chen Mingyuan Zhou VLM VPVLM 21 5 0 16 Mar 2023
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection Rabiul Awal Roy Ka-Wei Lee Eshaan Tanwar Tanmay Garg Tanmoy Chakraborty 16 26 0 04 Mar 2023
Contrastive Meta-Learning for Partially Observable Few-Shot Learning Adam Jelley Amos Storkey Antreas Antoniou Sam Devlin 19 6 0 30 Jan 2023
Evidential Conditional Neural Processes Deepshikha Pandey Qi Yu BDL EDL UQCV 10 13 0 30 Nov 2022
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners E. T. Oldewage J. Bronskill Richard E. Turner 11 3 0 23 Nov 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Yuqing Hu S. Pateux Vincent Gripon 16 15 0 18 Sep 2022
Compositional Law Parsing with Latent Random Functions Fan Shi Bin Li Xiangyang Xue CoGe 19 4 0 15 Sep 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 22 17 0 22 Aug 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning Konstantinos Kalais S. Chatzis BDL 19 8 0 02 Aug 2022
Realistic Evaluation of Transductive Few-Shot Learning Olivier Veilleux Malik Boudiaf Pablo Piantanida Ismail Ben Ayed 21 35 0 24 Apr 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 11 7 0 28 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 70 42 0 01 Feb 2022
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 15 138 0 20 Dec 2021
Bayesian Embeddings for Few-Shot Open World Recognition John Willes James Harrison Ali Harakeh Chelsea Finn Marco Pavone Steven Waslander BDL OffRL 20 17 0 29 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 22 1 0 05 Jul 2021
SMIL: Multimodal Learning with Severely Missing Modality Mengmeng Ma Jian Ren Long Zhao Sergey Tulyakov Cathy H. Wu Xi Peng 35 238 0 09 Mar 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 17 41 0 05 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 32 980 0 03 Mar 2021
Learning to Learn Variational Semantic Memory Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 11 34 0 20 Oct 2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes Jake C. Snell R. Zemel 25 63 0 20 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 21 3 0 17 Jul 2020
Learning to Learn with Variational Information Bottleneck for Domain Generalization Yingjun Du Jun Xu Huan Xiong Qiang Qiu Xiantong Zhen Cees G. M. Snoek Ling Shao BDL OOD 22 163 0 15 Jul 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs Meng Qu Tianyu Gao Louis-Pascal Xhonneux Jian Tang BDL 8 106 0 05 Jul 2020
Learning to Learn Kernels with Variational Random Features Xiantong Zhen Hao Sun Yingjun Du Jun Xu Yilong Yin Ling Shao Cees G. M. Snoek DRL 4 34 0 11 Jun 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 38 1,926 0 11 Apr 2020
PAC-Bayes meta-learning with implicit task-specific posteriors Cuong C. Nguyen Thanh-Toan Do G. Carneiro BDL 31 7 0 05 Mar 2020
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes James Requeima Jonathan Gordon J. Bronskill Sebastian Nowozin Richard E. Turner 13 240 0 18 Jun 2019
Meta-learning of Sequential Strategies Pedro A. Ortega Jane X. Wang Mark Rowland Tim Genewein Z. Kurth-Nelson ... Yee Whye Teh H. V. Hasselt Nando de Freitas M. Botvinick Shane Legg OffRL 15 96 0 08 May 2019
Fast Context Adaptation via Meta-Learning L. Zintgraf K. Shiarlis Vitaly Kurin Katja Hofmann Shimon Whiteson 18 37 0 08 Oct 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 191 498 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 260 11,677 0 09 Mar 2017