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Adaptive Dimension Reduction and Variational Inference for Transductive
  Few-Shot Classification

Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification

International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
18 September 2022
Yuqing Hu
S. Pateux
Vincent Gripon
ArXiv (abs)PDFHTML

Papers citing "Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification"

9 / 9 papers shown
Title
Unbiased Max-Min Embedding Classification for Transductive Few-Shot Learning: Clustering and Classification Are All You Need
Unbiased Max-Min Embedding Classification for Transductive Few-Shot Learning: Clustering and Classification Are All You Need
Yang Liu
Feixiang Liu
Jiale Du
Xinbo Gao
Jungong Han
200
0
0
28 Mar 2025
Making Large Vision Language Models to be Good Few-shot Learners
Making Large Vision Language Models to be Good Few-shot LearnersAAAI Conference on Artificial Intelligence (AAAI), 2024
Fan Liu
Wenwen Cai
Jian Huo
Chuanyi Zhang
Delong Chen
Jun Zhou
174
5
0
21 Aug 2024
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for
  Optimized Learning Fusion
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
201
7
0
22 Feb 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning
BECLR: Batch Enhanced Contrastive Few-Shot Learning
Stylianos Poulakakis-Daktylidis
Hadi Jamali Rad
239
7
0
04 Feb 2024
Robust Transductive Few-shot Learning via Joint Message Passing and
  Prototype-based Soft-label Propagation
Robust Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation
Jiahui Wang
Qin Xu
Bo Jiang
Bin Luo
191
0
0
28 Nov 2023
Prototypes-oriented Transductive Few-shot Learning with Conditional
  Transport
Prototypes-oriented Transductive Few-shot Learning with Conditional TransportIEEE International Conference on Computer Vision (ICCV), 2023
Long Tian
Jing Feng
Wenchao Chen
Xiaoqiang Chai
Liming Wang
Xiyang Liu
Bo Chen
190
20
0
06 Aug 2023
Adaptive manifold for imbalanced transductive few-shot learning
Adaptive manifold for imbalanced transductive few-shot learningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Michalis Lazarou
Yannis Avrithis
Tania Stathaki
186
6
0
27 Apr 2023
A Statistical Model for Predicting Generalization in Few-Shot
  Classification
A Statistical Model for Predicting Generalization in Few-Shot ClassificationEuropean Signal Processing Conference (EUSIPCO), 2022
Yassir Bendou
Vincent Gripon
Bastien Pasdeloup
Lukas Mauch
Stefan Uhlich
Fabien Cardinaux
G. B. Hacene
Javier Alonso García
205
2
0
13 Dec 2022
Transductive Decoupled Variational Inference for Few-Shot Classification
Transductive Decoupled Variational Inference for Few-Shot Classification
Ashutosh Kumar Singh
Hadi Jamali Rad
BDLVLM
236
18
0
22 Aug 2022
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