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Incremental Class Learning using Variational Autoencoders with
  Similarity Learning

Incremental Class Learning using Variational Autoencoders with Similarity Learning

4 October 2021
Jiahao Huo
Terence L van Zyl
    CLL
ArXivPDFHTML

Papers citing "Incremental Class Learning using Variational Autoencoders with Similarity Learning"

12 / 12 papers shown
Title
Preventing Catastrophic Forgetting and Distribution Mismatch in
  Knowledge Distillation via Synthetic Data
Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data
Kuluhan Binici
N. Pham
T. Mitra
K. Leman
54
40
0
11 Aug 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean
  Classifier in Online Class-Incremental Continual Learning
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning
Zheda Mai
Ruiwen Li
Hyunwoo J. Kim
Scott Sanner
CLL
65
185
0
22 Mar 2021
PyTorch Metric Learning
PyTorch Metric Learning
Kevin Musgrave
Serge J. Belongie
Ser-Nam Lim
33
106
0
20 Aug 2020
Dark Experience for General Continual Learning: a Strong, Simple
  Baseline
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Davide Abati
Simone Calderara
BDL
CLL
72
909
0
15 Apr 2020
A Metric Learning Reality Check
A Metric Learning Reality Check
Kevin Musgrave
Serge J. Belongie
Ser-Nam Lim
132
476
0
18 Mar 2020
Memory Aware Synapses: Learning what (not) to forget
Memory Aware Synapses: Learning what (not) to forget
Rahaf Aljundi
F. Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
KELM
CLL
83
1,628
0
27 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
254
8,856
0
25 Aug 2017
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Chrisantha Fernando
Dylan Banarse
Charles Blundell
Yori Zwols
David R Ha
Andrei A. Rusu
Alexander Pritzel
Daan Wierstra
61
880
0
30 Jan 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
325
7,478
0
02 Dec 2016
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
342
13,123
0
12 Mar 2015
Learning Fine-grained Image Similarity with Deep Ranking
Learning Fine-grained Image Similarity with Deep Ranking
Jiang Wang
Yang Song
Thomas Leung
C. Rosenberg
Jingbin Wang
James Philbin
Bo Chen
Ying Nian Wu
SSL
103
1,317
0
17 Apr 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based
  Neural Networks
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian Goodfellow
M. Berk Mirza
Xia Da
Aaron Courville
Yoshua Bengio
137
1,439
0
21 Dec 2013
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