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2004.12696
Cited By
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
27 April 2020
S. Hu
Pablo G. Moreno
Yanghua Xiao
Xin Shen
G. Obozinski
Neil D. Lawrence
Andreas C. Damianou
BDL
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Papers citing
"Empirical Bayes Transductive Meta-Learning with Synthetic Gradients"
31 / 31 papers shown
Title
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation
Hyeonwoo Cho
Chanmin Park
Donghee Kim
Jinyoung Kim
Won Hwa Kim
TTA
31
0
0
26 Jan 2024
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
28
4
0
13 May 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
Yi Rong
Xiongbo Lu
Zhaoyang Sun
Yaxiong Chen
Shengwu Xiong
23
10
0
26 Apr 2023
Task Adaptive Feature Transformation for One-Shot Learning
Imtiaz Masud Ziko
Freddy Lecue
Ismail Ben Ayed
VLM
35
1
0
13 Apr 2023
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks
Samuel Hess
G. Ditzler
49
2
0
26 Nov 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen
Chi-Guhn Lee
SSL
40
3
0
07 Oct 2022
Transductive Decoupled Variational Inference for Few-Shot Classification
Ashutosh Kumar Singh
Hadi Jamali Rad
BDL
VLM
39
17
0
22 Aug 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
Duong H. Le
Khoi Duc Minh Nguyen
Khoi Nguyen
Quoc-Huy Tran
Rang Nguyen
Binh-Son Hua
OODD
35
39
0
08 Jun 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
Dong Chen
Lingfei Wu
Siliang Tang
Xiao Yun
Bo Long
Yueting Zhuang
VLM
NoLa
23
9
0
04 Jun 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification
Zaiyun Yang
VLM
DRL
16
1
0
30 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
50
344
0
13 May 2022
Realistic Evaluation of Transductive Few-Shot Learning
Olivier Veilleux
Malik Boudiaf
Pablo Piantanida
Ismail Ben Ayed
23
35
0
24 Apr 2022
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines
I. Nikoloska
Osvaldo Simeone
AI4CE
11
3
0
31 Mar 2022
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
38
37
0
24 Jan 2022
MDFM: Multi-Decision Fusing Model for Few-Shot Learning
Shuai Shao
Lei Xing
Rui Xu
Weifeng Liu
Yanjiang Wang
Baodi Liu
38
30
0
01 Dec 2021
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy
Junying Huang
Fan Chen
Keze Wang
Liang Lin
Dongyu Zhang
21
8
0
08 Nov 2021
Learning by Examples Based on Multi-level Optimization
Shentong Mo
P. Xie
26
0
0
22 Sep 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning
Shuai Shao
Lei Xing
Yan Wang
Rui Xu
Chunyan Zhao
Yanjiang Wang
Baodi Liu
43
35
0
16 Sep 2021
Prototype Completion for Few-Shot Learning
Baoquan Zhang
Xutao Li
Yunming Ye
Shanshan Feng
VLM
57
18
0
11 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold
Guodong Qi
Huimin Yu
Zhaohui Lu
Shuzhao Li
19
45
0
09 Aug 2021
Few-Shot and Continual Learning with Attentive Independent Mechanisms
Eugene Lee
Cheng-Han Huang
Chen-Yi Lee
CLL
23
24
0
29 Jul 2021
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification
Dong Lee
Sae-Young Chung
26
20
0
22 Jun 2021
Adaptive Pseudo-Label Refinement by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation
Waqar Ahmed
Pietro Morerio
Vittorio Murino
13
4
0
29 Mar 2021
Iterative label cleaning for transductive and semi-supervised few-shot learning
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
40
61
0
14 Dec 2020
Meta-Generating Deep Attentive Metric for Few-shot Classification
Lei Zhang
Fei Zhou
Wei Wei
Yanning Zhang
VLM
42
28
0
03 Dec 2020
Mixture-based Feature Space Learning for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
18
70
0
24 Nov 2020
Interventional Few-Shot Learning
Zhongqi Yue
Hanwang Zhang
Qianru Sun
Xiansheng Hua
26
225
0
28 Sep 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
Yang Xiao
Vincent Lepetit
Renaud Marlet
3DPC
46
314
0
23 Jul 2020
Impact of base dataset design on few-shot image classification
Othman Sbai
Camille Couprie
Mathieu Aubry
VLM
15
22
0
17 Jul 2020
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner
Eugene Lee
E. Chen
Chen-Yi Lee
16
159
0
14 Jul 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
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