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GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
v1v2v3v4 (latest)

GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning

International Conference on Machine Learning (ICML), 2021
15 February 2021
Idan Achituve
Aviv Navon
Yochai Yemini
Gal Chechik
Ethan Fetaya
    GP
ArXiv (abs)PDFHTML

Papers citing "GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning"

22 / 22 papers shown
StruSR: Structure-Aware Symbolic Regression with Physics-Informed Taylor Guidance
StruSR: Structure-Aware Symbolic Regression with Physics-Informed Taylor Guidance
Yunpeng Gong
Sihan Lan
Can Yang
Kunpeng Xu
Min Jiang
135
1
0
08 Oct 2025
The Bayesian Approach to Continual Learning: An Overview
The Bayesian Approach to Continual Learning: An Overview
Tameem Adel
CLLBDLKELM
324
2
0
11 Jul 2025
Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes
Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes
Neta Glazer
David Chernin
Idan Achituve
Sharon Gannot
Ethan Fetaya
208
2
0
29 May 2025
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
M. A. Ma'sum
Mahardhika Pratama
Igor Skrjanc
CLL
410
3
0
12 Feb 2025
CLOSER: Towards Better Representation Learning for Few-Shot
  Class-Incremental Learning
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental LearningEuropean Conference on Computer Vision (ECCV), 2024
Junghun Oh
Sungyong Baik
Kyoung Mu Lee
CLL
238
16
0
08 Oct 2024
Function-space Parameterization of Neural Networks for Sequential
  Learning
Function-space Parameterization of Neural Networks for Sequential Learning
Aidan Scannell
Riccardo Mereu
Paul E. Chang
Ella Tamir
Joni Pajarinen
Arno Solin
BDL
236
6
0
16 Mar 2024
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
Idan Achituve
I. Diamant
Arnon Netzer
Gal Chechik
Ethan Fetaya
UQCV
285
14
0
06 Feb 2024
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental
  Learning
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning
Songsong Tian
Lusi Li
Weijun Li
Hang Ran
Li Li
Xin Ning
CLLVLM
205
4
0
26 Jan 2024
Video-based Surgical Skill Assessment using Tree-based Gaussian Process
  Classifier
Video-based Surgical Skill Assessment using Tree-based Gaussian Process Classifier
Arefeh Rezaei
M. J. Ahmadi
Amir Molaei
H. Taghirad
207
1
0
15 Dec 2023
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings
Disha Makhija
Joydeep Ghosh
Nhat Ho
FedML
215
2
0
13 Jun 2023
FedHB: Hierarchical Bayesian Federated Learning
FedHB: Hierarchical Bayesian Federated Learning
Minyoung Kim
Timothy M. Hospedales
FedML
178
9
0
08 May 2023
A Survey on Few-Shot Class-Incremental Learning
A Survey on Few-Shot Class-Incremental LearningNeural Networks (Neural Netw.), 2023
Song Tian
Lusi Li
Weijun Li
Hang Ran
Xin Ning
Prayag Tiwari
CLL
355
166
0
17 Apr 2023
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for
  Few-Shot Class-Incremental Learning
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2023
Zeyin Song
Yifan Zhao
Yujun Shi
Peixi Peng
Liuliang Yuan
Yonghong Tian
CLL
237
100
0
02 Apr 2023
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for
  Dialog Retrieval Models
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval ModelsAAAI Conference on Artificial Intelligence (AAAI), 2023
Tong Ye
Shijing Si
Jianzong Wang
Ning Cheng
Zhitao Li
Jing Xiao
231
3
0
15 Mar 2023
Guided Deep Kernel Learning
Guided Deep Kernel LearningConference on Uncertainty in Artificial Intelligence (UAI), 2023
Idan Achituve
Gal Chechik
Ethan Fetaya
BDL
298
7
0
19 Feb 2023
Gaussian Process-Gated Hierarchical Mixtures of Experts
Gaussian Process-Gated Hierarchical Mixtures of ExpertsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yuhao Liu
Marzieh Ajirak
Petar M. Djurić
MoE
251
5
0
09 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELMCLL
785
1,081
0
31 Jan 2023
Communication Efficient Distributed Learning over Wireless Channels
Communication Efficient Distributed Learning over Wireless ChannelsIEEE Signal Processing Letters (SPL), 2022
Idan Achituve
Wenbo Wang
Ethan Fetaya
Amir Leshem
162
2
0
04 Sep 2022
Functional Ensemble Distillation
Functional Ensemble DistillationNeural Information Processing Systems (NeurIPS), 2022
Coby Penso
Idan Achituve
Ethan Fetaya
FedML
159
2
0
05 Jun 2022
Forward Compatible Few-Shot Class-Incremental Learning
Forward Compatible Few-Shot Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2022
Da-Wei Zhou
Fu Lee Wang
Han-Jia Ye
Liang Ma
Shiliang Pu
De-Chuan Zhan
CLL
241
245
0
14 Mar 2022
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot
  Image Recognition
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition
Kai Wang
Xialei Liu
Andrew D. Bagdanov
Luis Herranz
Shang Rui
Joost van de Weijer
CLLVLM
261
11
0
09 Nov 2021
Personalized Federated Learning with Gaussian Processes
Personalized Federated Learning with Gaussian ProcessesNeural Information Processing Systems (NeurIPS), 2021
Idan Achituve
Aviv Shamsian
Aviv Navon
Gal Chechik
Ethan Fetaya
FedML
283
127
0
29 Jun 2021
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