Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition

8 January 2021

Xueting Zhang

Debin Meng

Henry Gouk

Timothy M. Hospedales

BDL

UQCV

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Papers citing "Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition"

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Title
Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification Kexin Di Xiuxing Li Yuyang Han Ziyu Li Qing Li Xia Wu VLM 63 0 0 10 Mar 2025
Neuromodulated Meta-Learning Wenwen Qiang Huijie Guo Jingyao Wang Jiangmeng Li Changwen Zheng Hui Xiong Gang Hua 61 0 0 11 Nov 2024
A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class Qian Qiao Yu Xie Shaoyao Huang Fanzhang Li 29 0 0 12 Aug 2024
Bayesian meta learning for trustworthy uncertainty quantification Zhenyuan Yuan Thinh T. Doan UQCV 43 0 0 27 Jul 2024
Siamese Transformer Networks for Few-shot Image Classification Weihao Jiang Shuoxi Zhang Kun He ViT 49 0 0 16 Jul 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation Erik Landolsi Fredrik Kahl DiffM 58 1 0 05 Jun 2024
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text Yuyu Jia Qing Zhou Wei Huang Junyu Gao Qi. Wang VLM 37 1 0 21 May 2024
Class-relevant Patch Embedding Selection for Few-Shot Image Classification Weihao Jiang Haoyang Cui Kun He VLM 44 0 0 06 May 2024
Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning Weihao Jiang Chang-Shu Liu Kun He ViT 64 0 0 06 May 2024
Variational Bayesian Last Layers James Harrison John Willes Jasper Snoek BDL UQCV 63 23 0 17 Apr 2024
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends Abolfazl Younesi Mohsen Ansari Mohammadamin Fazli A. Ejlali Muhammad Shafique Joerg Henkel 3DV 50 44 0 23 Feb 2024
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion Zijun Long George Killick Lipeng Zhuang Gerardo Aragon Camarasa Zaiqiao Meng R. McCreadie VLM 50 2 0 22 Feb 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning Stylianos Poulakakis-Daktylidis Hadi Jamali Rad 28 5 0 04 Feb 2024
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling Wonho Bae Jing Wang Danica J. Sutherland 44 1 0 06 Nov 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
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning Wenwen Qiang Changwen Zheng Jingyao Wang Changwen Zheng SSL 17 1 0 28 Aug 2023
On the Importance of Spatial Relations for Few-shot Action Recognition Yilun Zhang Yu Fu Xingjun Ma Lizhe Qi Jingjing Chen Zuxuan Wu Yueping Jiang ViT 19 6 0 14 Aug 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
Few-shot Image Classification based on Gradual Machine Learning Nanway Chen Xianming Kuang Feiyu Liu K. Wang Qun Chen CLL VLM 27 2 0 28 Jul 2023
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge Young D. Kwon Rui Li Stylianos I. Venieris Jagmohan Chauhan Nicholas D. Lane Cecilia Mascolo 19 8 0 19 Jul 2023
Towards Task Sampler Learning for Meta-Learning Wenwen Qiang Jingyao Wang Xingzhe Su Changwen Zheng Gang Hua Hui Xiong 30 10 0 18 Jul 2023
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning Minyoung Kim Timothy M. Hospedales BDL 22 0 0 16 Jun 2023
Meta-DM: Applications of Diffusion Models on Few-Shot Learning W. Hu Xiurong Jiang Jiarun Liu Yuqi Yang Hui Tian DiffM 25 7 0 14 May 2023
Supervised Masked Knowledge Distillation for Few-Shot Transformers Hanxi Lin G. Han Jiawei Ma Shiyuan Huang Xudong Lin Shih-Fu Chang 24 35 0 25 Mar 2023
Enhancing Few-shot Image Classification with Cosine Transformer Quang-Huy Nguyen Cuong Q. Nguyen Dung D. Le Hieu H. Pham ViT 27 12 0 13 Nov 2022
Self-Attention Message Passing for Contrastive Few-Shot Learning Ojas Kishorkumar Shirekar Ashutosh Kumar Singh Hadi Jamali Rad 26 5 0 12 Oct 2022
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models Omiros Pantazis Gabriel J. Brostow Kate E. Jones Oisin Mac Aodha VLM 36 40 0 07 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 34 3 0 05 Oct 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 39 17 0 22 Aug 2022
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments Khoi Duc Minh Nguyen Quoc-Huy Tran Khoi Nguyen Binh-Son Hua Rang Nguyen 28 29 0 21 Jul 2022
Bayesian Evidential Learning for Few-Shot Classification Xiongkun Linghu Yan Bai Yihang Lou Shengsen Wu Jinze Li Jianzhong He Tao Bai BDL EDL UQCV 23 2 0 19 Jul 2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification Adrian El Baz Ihsan Ullah Edesio Alcobaça André C. P. L. F. de Carvalho Hong Chen ... Ekrem Öztürk J. V. Rijn Haozhe Sun Xin Wang Wenwu Zhu 32 12 0 15 Jun 2022
Rethinking Generalization in Few-Shot Classification Markus Hiller Rongkai Ma Mehrtash Harandi Tom Drummond OCL VLM 30 55 0 15 Jun 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference S. Hu Da Li Jan Stuhmer Minyoung Kim Timothy M. Hospedales 19 188 0 15 Apr 2022
Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing Hsin-Ping Huang Deqing Sun Yaojie Liu Wen-Sheng Chu Taihong Xiao Jinwei Yuan Hartwig Adam Ming-Hsuan Yang CVBM 38 56 0 23 Mar 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning Yang He Weihan Liang Dongyang Zhao Hong-Yu Zhou Weifeng Ge Yizhou Yu Wenqiang Zhang ViT 27 45 0 17 Mar 2022
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning Yuqian Fu Yu Xie Yanwei Fu Jingjing Chen Yu-Gang Jiang 29 18 0 15 Mar 2022
Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation Minyoung Kim Timothy M. Hospedales BDL 15 5 0 09 Nov 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-xiong Wang 32 13 0 06 Oct 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 24 1 0 05 Jul 2021
How Sensitive are Meta-Learners to Dataset Imbalance? Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 17 3 0 12 Apr 2021
Few-Shot Learning with Class Imbalance Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 26 35 0 07 Jan 2021
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 202 498 0 11 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017