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Realistic Evaluation of Transductive Few-Shot Learning

Realistic Evaluation of Transductive Few-Shot Learning

Neural Information Processing Systems (NeurIPS), 2022
24 April 2022
Olivier Veilleux
Malik Boudiaf
Pablo Piantanida
Ismail Ben Ayed
ArXiv (abs)PDFHTMLGithub (24★)

Papers citing "Realistic Evaluation of Transductive Few-Shot Learning"

21 / 21 papers shown
Conformal Prediction for Zero-Shot Models
Conformal Prediction for Zero-Shot ModelsComputer Vision and Pattern Recognition (CVPR), 2025
Julio Silva-Rodríguez
Ismail Ben Ayed
Jose Dolz
VLM
333
5
0
30 May 2025
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
258
0
0
28 Mar 2025
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
UNEM: UNrolled Generalized EM for Transductive Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2024
Long Zhou
Fereshteh Shakeri
Aymen Sadraoui
Mounir Kaaniche
J. Pesquet
Ismail Ben Ayed
VLM
629
1
0
21 Dec 2024
Boosting Vision-Language Models with Transduction
Boosting Vision-Language Models with Transduction
Maxime Zanella
Benoît Gérin
Ismail Ben Ayed
VLM
245
20
0
03 Jun 2024
Transductive Zero-Shot and Few-Shot CLIP
Transductive Zero-Shot and Few-Shot CLIP
Ségolène Martin
Yunshi Huang
Fereshteh Shakeri
J. Pesquet
Ismail Ben Ayed
BDLVLM
282
32
0
08 Apr 2024
A transductive few-shot learning approach for classification of digital
  histopathological slides from liver cancer
A transductive few-shot learning approach for classification of digital histopathological slides from liver cancerIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Aymen Sadraoui
Ségolène Martin
Eliott Barbot
A. Laurent-Bellue
J. Pesquet
Catherine Guettier
Ismail Ben Ayed
MedIm
313
2
0
29 Nov 2023
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
245
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
214
21
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
237
9
0
27 Apr 2023
Transductive Few-shot Learning with Prototype-based Label Propagation by
  Iterative Graph Refinement
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph RefinementComputer Vision and Pattern Recognition (CVPR), 2023
Hao Zhu
Piotr Koniusz
306
61
0
23 Apr 2023
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive
  Few-shot Learning with Hyperspherical Embeddings
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical EmbeddingsComputer Vision and Pattern Recognition (CVPR), 2023
Daniel J. Trosten
Rwiddhi Chakraborty
Sigurd Løkse
Kristoffer Wickstrøm
Robert Jenssen
Michael C. Kampffmeyer
179
25
0
16 Mar 2023
Open-Set Likelihood Maximization for Few-Shot Learning
Open-Set Likelihood Maximization for Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2023
Malik Boudiaf
Etienne Bennequin
Myriam Tami
Antoine Toubhans
Pablo Piantanida
C´eline Hudelot
Ismail Ben Ayed
BDL
269
17
0
20 Jan 2023
Parametric Information Maximization for Generalized Category Discovery
Parametric Information Maximization for Generalized Category DiscoveryIEEE International Conference on Computer Vision (ICCV), 2022
Florent Chiaroni
Jose Dolz
Imtiaz Masud Ziko
A. Mitiche
Ismail Ben Ayed
266
41
0
01 Dec 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks
Samuel Hess
G. Ditzler
382
2
0
26 Nov 2022
A Strong Baseline for Generalized Few-Shot Semantic Segmentation
A Strong Baseline for Generalized Few-Shot Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2022
Sina Hajimiri
Malik Boudiaf
Ismail Ben Ayed
Jose Dolz
VLM
233
37
0
25 Nov 2022
Towards Practical Few-Shot Query Sets: Transductive Minimum Description
  Length Inference
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length InferenceNeural Information Processing Systems (NeurIPS), 2022
Ségolène Martin
Malik Boudiaf
Émilie Chouzenoux
J. Pesquet
Ismail Ben Ayed
264
11
0
26 Oct 2022
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning
  Settings
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings
Aymane Abdali
Vincent Gripon
Lucas Drumetz
Bartosz Bogusławski
219
1
0
23 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive
  Few-Shot Classification
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot ClassificationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yuqing Hu
S. Pateux
Vincent Gripon
219
21
0
18 Sep 2022
Model-Agnostic Few-Shot Open-Set Recognition
Model-Agnostic Few-Shot Open-Set Recognition
Malik Boudiaf
Etienne Bennequin
Myriam Tami
C´eline Hudelot
Antoine Toubhans
Pablo Piantanida
Ismail Ben Ayed
BDL
220
1
0
18 Jun 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art
  Few-Shot Classification with Simple Ingredients
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
Yassir Bendou
Yuqing Hu
Raphael Lafargue
G. Lioi
Bastien Pasdeloup
S. Pateux
Vincent Gripon
VLM
259
39
0
24 Jan 2022
Few-Shot Learning with Class Imbalance
Few-Shot Learning with Class ImbalanceIEEE Transactions on Artificial Intelligence (IEEE TAI), 2021
Mateusz Ochal
Massimiliano Patacchiola
Amos Storkey
Jose Vazquez
Sen Wang
290
52
0
07 Jan 2021
1
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