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Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

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
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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