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Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis
  in Hyperbolic Geometry

Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry

20 July 2022
Yawen Cui
Zitong Yu
Wei Peng
Li Liu
    CLL
ArXivPDFHTML

Papers citing "Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry"

42 / 42 papers shown
Title
OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning
OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning
Xu Yin
Fei Pan
G. An
Yuchi Huo
Zixuan Xie
Sung-eui Yoon
BDL
VLM
114
1
0
02 Jul 2024
Few-Shot Class-Incremental Learning from an Open-Set Perspective
Few-Shot Class-Incremental Learning from an Open-Set Perspective
Can Peng
Kun-li Zhao
Tianren Wang
Meng Li
Brian C. Lovell
CLL
41
89
0
30 Jul 2022
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Da-Wei Zhou
Han-Jia Ye
Liang Ma
Di Xie
Shiliang Pu
De-Chuan Zhan
CLL
80
123
0
31 Mar 2022
Constrained Few-shot Class-incremental Learning
Constrained Few-shot Class-incremental Learning
Michael Hersche
G. Karunaratne
G. Cherubini
Luca Benini
Abu Sebastian
Abbas Rahimi
CLL
89
142
0
30 Mar 2022
Forward Compatible Few-Shot Class-Incremental Learning
Forward Compatible Few-Shot Class-Incremental Learning
Da-Wei Zhou
Fu Lee Wang
Han-Jia Ye
Liang Ma
Shiliang Pu
De-Chuan Zhan
CLL
56
175
0
14 Mar 2022
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental
  Learning
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
Kai Zhu
Yang Cao
Wei Zhai
Jie Cheng
Zhengjun Zha
CLL
94
145
0
19 Jul 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers
Few-Shot Incremental Learning with Continually Evolved Classifiers
Chi Zhang
Nan Song
Guosheng Lin
Yun Zheng
Pan Pan
Yinghui Xu
CLL
72
293
0
07 Apr 2021
Learning Placeholders for Open-Set Recognition
Learning Placeholders for Open-Set Recognition
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
VLM
41
196
0
28 Mar 2021
A Comprehensive Survey of Scene Graphs: Generation and Application
A Comprehensive Survey of Scene Graphs: Generation and Application
Xiaojun Chang
Pengzhen Ren
Pengfei Xu
Zhihui Li
Xiaojiang Chen
Alexander G. Hauptmann
3DV
91
231
0
17 Mar 2021
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental
  Learning
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
A. Cheraghian
Shafin Rahman
Pengfei Fang
S. Roy
L. Petersson
Mehrtash Harandi
CLL
124
184
0
06 Mar 2021
Dual-Awareness Attention for Few-Shot Object Detection
Dual-Awareness Attention for Few-Shot Object Detection
Tung-I Chen
Yueh-Cheng Liu
Hung-Ting Su
Yu-Cheng Chang
Yu-Hsiang Lin
Jia-Fong Yeh
Wen-Chin Chen
Winston H. Hsu
ObjD
78
97
0
24 Feb 2021
Understanding Catastrophic Forgetting and Remembering in Continual
  Learning with Optimal Relevance Mapping
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
Prakhar Kaushik
Alex Gain
Adam Kortylewski
Alan Yuille
CLL
34
70
0
22 Feb 2021
Learning Open Set Network with Discriminative Reciprocal Points
Learning Open Set Network with Discriminative Reciprocal Points
Guangyao Chen
Limeng Qiao
Yemin Shi
Peixi Peng
Jia Li
Tiejun Huang
Shiliang Pu
Yonghong Tian
UQCV
EDL
38
193
0
31 Oct 2020
Energy-based Out-of-distribution Detection
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
247
1,349
0
08 Oct 2020
Few-Shot Class-Incremental Learning
Few-Shot Class-Incremental Learning
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
CLL
83
409
0
23 Apr 2020
Constant Curvature Graph Convolutional Networks
Constant Curvature Graph Convolutional Networks
Gregor Bachmann
Gary Bécigneul
O. Ganea
GNN
73
136
0
12 Nov 2019
Hyperbolic Graph Neural Networks
Hyperbolic Graph Neural Networks
Qi Liu
Maximilian Nickel
Douwe Kiela
AI4CE
GNN
71
380
0
28 Oct 2019
Likelihood Ratios for Out-of-Distribution Detection
Likelihood Ratios for Out-of-Distribution Detection
Jie Jessie Ren
Peter J. Liu
Emily Fertig
Jasper Snoek
Ryan Poplin
M. DePristo
Joshua V. Dillon
Balaji Lakshminarayanan
OODD
158
720
0
07 Jun 2019
Every child should have parents: a taxonomy refinement algorithm based
  on hyperbolic term embeddings
Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings
Rami Aly
Shantanu Acharya
Alexander Ossa
Arne Köhn
Chris Biemann
Alexander Panchenko
35
50
0
05 Jun 2019
Three scenarios for continual learning
Three scenarios for continual learning
Gido M. van de Ven
A. Tolias
CLL
72
889
0
15 Apr 2019
Hyperbolic Image Embeddings
Hyperbolic Image Embeddings
Valentin Khrulkov
L. Mirvakhabova
E. Ustinova
Ivan Oseledets
Victor Lempitsky
59
291
0
03 Apr 2019
C2AE: Class Conditioned Auto-Encoder for Open-set Recognition
C2AE: Class Conditioned Auto-Encoder for Open-set Recognition
Poojan Oza
Vishal M. Patel
85
320
0
02 Apr 2019
Classification-Reconstruction Learning for Open-Set Recognition
Classification-Reconstruction Learning for Open-Set Recognition
Ryota Yoshihashi
Wen Shao
Rei Kawakami
Shaodi You
M. Iida
T. Naemura
BDL
55
325
0
11 Dec 2018
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
188
1,449
0
02 Dec 2018
Recent Advances in Open Set Recognition: A Survey
Recent Advances in Open Set Recognition: A Survey
Chuanxing Geng
Sheng-Jun Huang
Songcan Chen
BDL
ObjD
102
765
0
21 Nov 2018
Poincaré GloVe: Hyperbolic Word Embeddings
Poincaré GloVe: Hyperbolic Word Embeddings
A. Tifrea
Gary Bécigneul
O. Ganea
57
287
0
15 Oct 2018
End-to-End Incremental Learning
End-to-End Incremental Learning
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
Cordelia Schmid
Alahari Karteek
CLL
80
1,153
0
25 Jul 2018
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
239
354
0
12 Jun 2018
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic
  Geometry
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry
Maximilian Nickel
Douwe Kiela
45
460
0
09 Jun 2018
Hyperbolic Neural Networks
Hyperbolic Neural Networks
O. Ganea
Gary Bécigneul
Thomas Hofmann
50
602
0
23 May 2018
Generative OpenMax for Multi-Class Open Set Classification
Generative OpenMax for Multi-Class Open Set Classification
Zongyuan Ge
S. Demyanov
Zetao Chen
R. Garnavi
VLM
62
380
0
24 Jul 2017
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLM
CLL
103
2,705
0
26 Jun 2017
Poincaré Embeddings for Learning Hierarchical Representations
Poincaré Embeddings for Learning Hierarchical Representations
Maximilian Nickel
Douwe Kiela
79
1,301
0
22 May 2017
Sparse Representation-based Open Set Recognition
Sparse Representation-based Open Set Recognition
He Zhang
Vishal M. Patel
46
176
0
06 May 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
265
8,114
0
15 Mar 2017
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
798
11,866
0
09 Mar 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
311
7,478
0
02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLL
OOD
121
3,741
0
23 Nov 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
128
3,441
0
07 Oct 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
331
7,313
0
13 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.8K
193,426
0
10 Dec 2015
Towards Open Set Deep Networks
Towards Open Set Deep Networks
Abhijit Bendale
Terrance Boult
BDL
EDL
101
1,420
0
19 Nov 2015
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