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Transductive Information Maximization For Few-Shot Learning
v1v2v3 (latest)

Transductive Information Maximization For Few-Shot Learning

25 August 2020
Malik Boudiaf
Imtiaz Masud Ziko
Jérôme Rony
José Dolz
Pablo Piantanida
Ismail Ben Ayed
    VLM
ArXiv (abs)PDFHTML

Papers citing "Transductive Information Maximization For Few-Shot Learning"

42 / 42 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
450
10
0
30 May 2025
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs
Song Wang
Zhen Tan
Yaochen Zhu
Chuxu Zhang
Wenlin Yao
OOD
499
1
0
11 Feb 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
706
2
0
21 Dec 2024
Meta-Learning with Heterogeneous Tasks
Meta-Learning with Heterogeneous Tasks
Zhaofeng Si
Shu Hu
Kaiyi Ji
Siwei Lyu
352
2
0
24 Oct 2024
ClusT3: Information Invariant Test-Time Training
ClusT3: Information Invariant Test-Time TrainingIEEE International Conference on Computer Vision (ICCV), 2023
G. A. V. Hakim
David Osowiechi
Mehrdad Noori
Milad Cheraghalikhani
Ismail Ben Ayed
Christian Desrosiers
TTAOOD
301
25
0
18 Oct 2023
PTransIPs: Identification of phosphorylation sites enhanced by protein
  PLM embeddings
PTransIPs: Identification of phosphorylation sites enhanced by protein PLM embeddingsIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Ziyang Xu
Haitian Zhong
Bingrui He
Xueying Wang
Tianchi Lu
274
8
0
08 Aug 2023
Task Adaptive Feature Transformation for One-Shot Learning
Task Adaptive Feature Transformation for One-Shot Learning
Imtiaz Masud Ziko
Freddy Lecue
Ismail Ben Ayed
VLM
214
2
0
13 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
249
27
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
284
20
0
20 Jan 2023
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
287
11
0
26 Oct 2022
Graph Few-shot Learning with Task-specific Structures
Graph Few-shot Learning with Task-specific StructuresNeural Information Processing Systems (NeurIPS), 2022
Song Wang
Chen Chen
Jundong Li
171
24
0
21 Oct 2022
Simplex Clustering via sBeta with Applications to Online Adjustment of
  Black-Box Predictions
Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box PredictionsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Florent Chiaroni
Malik Boudiaf
A. Mitiche
Ismail Ben Ayed
399
1
0
30 Jul 2022
Self-Supervision Can Be a Good Few-Shot Learner
Self-Supervision Can Be a Good Few-Shot LearnerEuropean Conference on Computer Vision (ECCV), 2022
Yuning Lu
Liangjiang Wen
Jianzhuang Liu
Yajing Liu
Xinmei Tian
SSL
292
55
0
19 Jul 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
241
1
0
18 Jun 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution
  Samples
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution SamplesNeural Information Processing Systems (NeurIPS), 2022
Duong H. Le
Khoi Duc Minh Nguyen
Khoi Nguyen
Quoc-Huy Tran
Rang Nguyen
Binh-Son Hua
OODD
246
41
0
08 Jun 2022
FHIST: A Benchmark for Few-shot Classification of Histological Images
FHIST: A Benchmark for Few-shot Classification of Histological Images
Fereshteh Shakeri
Malik Boudiaf
S. Mohammadi
Ivaxi Sheth
Mohammad Havaei
Ismail Ben Ayed
Samira Ebrahimi Kahou
OODVLM
320
28
0
31 May 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image
  Classification
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification
Zaiyun Yang
VLMDRL
203
1
0
30 May 2022
TransBoost: Improving the Best ImageNet Performance using Deep
  Transduction
TransBoost: Improving the Best ImageNet Performance using Deep TransductionNeural Information Processing Systems (NeurIPS), 2022
Omer Belhasin
Guy Bar-Shalom
Ran El-Yaniv
ViT
459
5
0
26 May 2022
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build
  Back Better with Semantic Task Sampling
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling
Etienne Bennequin
Myriam Tami
Antoine Toubhans
C´eline Hudelot
VLM
280
7
0
10 May 2022
PGADA: Perturbation-Guided Adversarial Alignment for Few-shot Learning
  Under the Support-Query Shift
PGADA: Perturbation-Guided Adversarial Alignment for Few-shot Learning Under the Support-Query ShiftPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022
Siyang Jiang
Wei Ding
Hsi-Wen Chen
Minghai Chen
OOD
366
10
0
08 May 2022
Realistic Evaluation of Transductive Few-Shot Learning
Realistic Evaluation of Transductive Few-Shot LearningNeural Information Processing Systems (NeurIPS), 2022
Olivier Veilleux
Malik Boudiaf
Pablo Piantanida
Ismail Ben Ayed
241
47
0
24 Apr 2022
Matching Feature Sets for Few-Shot Image Classification
Matching Feature Sets for Few-Shot Image ClassificationComputer Vision and Pattern Recognition (CVPR), 2022
Arman Afrasiyabi
Hugo Larochelle
Jean-François Lalonde
Christian Gagné
VLM
305
102
0
02 Apr 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
Rui Xu
Lei Xing
Shuai Shao
Lifei Zhao
Baodi Liu
Weifeng Liu
Yicong Zhou
451
25
0
15 Mar 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
306
39
0
24 Jan 2022
MDFM: Multi-Decision Fusing Model for Few-Shot Learning
MDFM: Multi-Decision Fusing Model for Few-Shot Learning
Shuai Shao
Lei Xing
Rui Xu
Weifeng Liu
Yanjiang Wang
Baodi Liu
586
35
0
01 Dec 2021
Transductive Data Augmentation with Relational Path Rule Mining for
  Knowledge Graph Embedding
Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph EmbeddingInternational Conference on Big Knowledge (ICBK), 2021
Yushi Hirose
Masashi Shimbo
Taro Watanabe
206
1
0
01 Nov 2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
A Strong Baseline for Semi-Supervised Incremental Few-Shot LearningBritish Machine Vision Conference (BMVC), 2021
Linlan Zhao
Dashan Guo
Yunlu Xu
Liang Qiao
Zhanzhan Cheng
Shiliang Pu
Yi Niu
Xi Fang
CLL
330
3
0
21 Oct 2021
Squeezing Backbone Feature Distributions to the Max for Efficient
  Few-Shot Learning
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning
Yuqing Hu
Vincent Gripon
S. Pateux
209
40
0
18 Oct 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning
Shuai Shao
Lei Xing
Yan Wang
Rui Xu
Chunyan Zhao
Yanjiang Wang
Baodi Liu
330
36
0
16 Sep 2021
Fine-Grained Few Shot Learning with Foreground Object Transformation
Fine-Grained Few Shot Learning with Foreground Object Transformation
Chaofei Wang
Qing Xiao
Qisen Yang
Xiang Li
Gao Huang
333
31
0
13 Sep 2021
Few-shot Learning via Dependency Maximization and Instance Discriminant
  Analysis
Few-shot Learning via Dependency Maximization and Instance Discriminant AnalysisInternational Workshop on Machine Learning for Signal Processing (MLSP), 2021
Zejiang Hou
S. Kung
155
1
0
07 Sep 2021
Binocular Mutual Learning for Improving Few-shot Classification
Binocular Mutual Learning for Improving Few-shot ClassificationIEEE International Conference on Computer Vision (ICCV), 2021
Ziqi Zhou
Xi Qiu
Jiangtao Xie
Jianan Wu
Fangqiu Yi
SSL
274
100
0
27 Aug 2021
Prototype Completion for Few-Shot Learning
Prototype Completion for Few-Shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Baoquan Zhang
Xutao Li
Yunming Ye
Shanshan Feng
VLM
374
28
0
11 Aug 2021
Transductive image segmentation: Self-training and effect of uncertainty
  estimation
Transductive image segmentation: Self-training and effect of uncertainty estimation
Konstantinos Kamnitsas
S. Winzeck
E. Kornaropoulos
Daniel Whitehouse
Cameron Englman
...
David Menon
Daniel Rueckert
T. Das
Virginia Newcombe
Ben Glocker
MedIm
170
3
0
19 Jul 2021
Mutual-Information Based Few-Shot Classification
Mutual-Information Based Few-Shot Classification
Malik Boudiaf
Imtiaz Masud Ziko
Jérôme Rony
Jose Dolz
Ismail Ben Ayed
Pablo Piantanida
VLM
197
2
0
23 Jun 2021
Transductive Few-Shot Learning: Clustering is All You Need?
Transductive Few-Shot Learning: Clustering is All You Need?
Imtiaz Masud Ziko
Malik Boudiaf
Jose Dolz
Mohammadhadi Shateri
Ismail Ben Ayed
175
4
0
16 Jun 2021
Bridging Few-Shot Learning and Adaptation: New Challenges of
  Support-Query Shift
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift
Etienne Bennequin
Victor Bouvier
Myriam Tami
Antoine Toubhans
C´eline Hudelot
342
14
0
25 May 2021
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot LearningAAAI Conference on Artificial Intelligence (AAAI), 2021
Baoquan Zhang
Xutao Li
Shanshan Feng
Yunming Ye
Rui Ye
218
46
0
26 Mar 2021
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
332
58
0
07 Jan 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive
  Inference Is All You Need?
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?Computer Vision and Pattern Recognition (CVPR), 2020
Malik Boudiaf
H. Kervadec
Imtiaz Masud Ziko
Pablo Piantanida
Ismail Ben Ayed
Jose Dolz
VLM
548
234
0
11 Dec 2020
Mixture-based Feature Space Learning for Few-shot Image Classification
Mixture-based Feature Space Learning for Few-shot Image ClassificationIEEE International Conference on Computer Vision (ICCV), 2020
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
387
95
0
24 Nov 2020
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Chi Zhang
Yujun Cai
Guosheng Lin
Chunhua Shen
VLM
563
173
0
15 Mar 2020
1
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