ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1902.02527
  4. Cited By
Adaptive Posterior Learning: few-shot learning with a surprise-based
  memory module

Adaptive Posterior Learning: few-shot learning with a surprise-based memory module

7 February 2019
Tiago Ramalho
M. Garnelo
    BDL
ArXivPDFHTML

Papers citing "Adaptive Posterior Learning: few-shot learning with a surprise-based memory module"

14 / 14 papers shown
Title
Memory-guided Network with Uncertainty-based Feature Augmentation for
  Few-shot Semantic Segmentation
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation
Xinyue Chen
Miaojing Shi
31
0
0
01 Jun 2024
Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting
Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting
Naifeng Zhang
Shan Jia
Siwei Lyu
Xin Li
AAML
27
1
0
27 Oct 2022
Memory in humans and deep language models: Linking hypotheses for model
  augmentation
Memory in humans and deep language models: Linking hypotheses for model augmentation
Omri Raccah
Pheobe Chen
Ted Willke
David Poeppel
Vy A. Vo
RALM
13
1
0
04 Oct 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
41
342
0
13 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
11
4
0
10 May 2022
Unified Question Generation with Continual Lifelong Learning
Unified Question Generation with Continual Lifelong Learning
Wei Yuan
Hongzhi Yin
Tieke He
Tong Chen
Qiufeng Wang
Li-zhen Cui
28
10
0
24 Jan 2022
Hierarchical Variational Memory for Few-shot Learning Across Domains
Hierarchical Variational Memory for Few-shot Learning Across Domains
Yingjun Du
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
VLM
BDL
33
21
0
15 Dec 2021
Prototype-Guided Memory Replay for Continual Learning
Prototype-Guided Memory Replay for Continual Learning
Stella Ho
Ming Liu
Lan Du
Longxiang Gao
Yong Xiang
CLL
8
30
0
28 Aug 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation
Few-shot Learning with Global Relatedness Decoupled-Distillation
Yuanen Zhou
Yanrong Guo
Shijie Hao
Richang Hong
Zhen junzha
Meng Wang
19
1
0
12 Jul 2021
Learning to Learn Variational Semantic Memory
Learning to Learn Variational Semantic Memory
Xiantong Zhen
Yingjun Du
Huan Xiong
Qiang Qiu
Cees G. M. Snoek
Ling Shao
SSL
BDL
VLM
DRL
13
34
0
20 Oct 2020
Continual Learning for Natural Language Generation in Task-oriented
  Dialog Systems
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems
Fei Mi
Liangwei Chen
Mengjie Zhao
Minlie Huang
Boi Faltings
CLL
KELM
17
68
0
02 Oct 2020
Few-Shot Learning with Global Class Representations
Few-Shot Learning with Global Class Representations
Tiange Luo
Aoxue Li
Tao Xiang
Weiran Huang
Liwei Wang
16
114
0
14 Aug 2019
Episodic Memory in Lifelong Language Learning
Episodic Memory in Lifelong Language Learning
Cyprien de Masson dÁutume
Sebastian Ruder
Lingpeng Kong
Dani Yogatama
CLL
KELM
20
280
0
03 Jun 2019
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
281
11,681
0
09 Mar 2017
1