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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
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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
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Sihan Lan
Can Yang
Kunpeng Xu
Min Jiang
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1
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08 Oct 2025
The Bayesian Approach to Continual Learning: An Overview
Tameem Adel
CLL
BDL
KELM
324
2
0
11 Jul 2025
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
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
European 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
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
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
Songsong Tian
Lusi Li
Weijun Li
Hang Ran
Li Li
Xin Ning
CLL
VLM
205
4
0
26 Jan 2024
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
Disha Makhija
Joydeep Ghosh
Nhat Ho
FedML
215
2
0
13 Jun 2023
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
Neural 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
Computer 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
AAAI 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
Conference 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
IEEE 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
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
785
1,081
0
31 Jan 2023
Communication Efficient Distributed Learning over Wireless Channels
IEEE Signal Processing Letters (SPL), 2022
Idan Achituve
Wenbo Wang
Ethan Fetaya
Amir Leshem
165
2
0
04 Sep 2022
Functional Ensemble Distillation
Neural 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
Computer 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
Kai Wang
Xialei Liu
Andrew D. Bagdanov
Luis Herranz
Shang Rui
Joost van de Weijer
CLL
VLM
261
11
0
09 Nov 2021
Personalized Federated Learning with Gaussian Processes
Neural 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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