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. 2111.01956
  4. Cited By
One Pass ImageNet

One Pass ImageNet

3 November 2021
Huiyi Hu
Ang Li
Daniele Calandriello
Dilan Görür
    VLM
ArXivPDFHTML

Papers citing "One Pass ImageNet"

23 / 23 papers shown
Title
Online Continual Learning with Natural Distribution Shifts: An Empirical
  Study with Visual Data
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
Zhipeng Cai
Ozan Sener
V. Koltun
CLL
50
86
0
20 Aug 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Polina Kirichenko
Mehrdad Farajtabar
Dushyant Rao
Balaji Lakshminarayanan
Nir Levine
Ang Li
Huiyi Hu
A. Wilson
Razvan Pascanu
VLM
BDL
CLL
64
20
0
24 Jun 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
Jonghyun Choi
CLL
83
335
0
31 Mar 2021
Class-incremental learning: survey and performance evaluation on image
  classification
Class-incremental learning: survey and performance evaluation on image classification
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
75
686
0
28 Oct 2020
Rethinking Experience Replay: a Bag of Tricks for Continual Learning
Rethinking Experience Replay: a Bag of Tricks for Continual Learning
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Simone Calderara
CLL
43
150
0
12 Oct 2020
The Effectiveness of Memory Replay in Large Scale Continual Learning
The Effectiveness of Memory Replay in Large Scale Continual Learning
Yogesh Balaji
Mehrdad Farajtabar
Dong Yin
Alex Mott
Ang Li
62
40
0
06 Oct 2020
La-MAML: Look-ahead Meta Learning for Continual Learning
La-MAML: Look-ahead Meta Learning for Continual Learning
Gunshi Gupta
Karmesh Yadav
Liam Paull
CLL
VLM
66
69
0
27 Jul 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming
Coresets via Bilevel Optimization for Continual Learning and Streaming
Zalan Borsos
Mojmír Mutný
Andreas Krause
CLL
73
233
0
06 Jun 2020
Challenges in Benchmarking Stream Learning Algorithms with Real-world
  Data
Challenges in Benchmarking Stream Learning Algorithms with Real-world Data
Vinicius M. A. Souza
Denis Moreira dos Reis
André Gustavo Maletzke
Gustavo E. A. P. A. Batista
OOD
AI4TS
30
130
0
30 Apr 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning
Using Hindsight to Anchor Past Knowledge in Continual Learning
Arslan Chaudhry
Albert Gordo
P. Dokania
Philip Torr
David Lopez-Paz
KELM
CLL
80
236
0
19 Feb 2020
Orthogonal Gradient Descent for Continual Learning
Orthogonal Gradient Descent for Continual Learning
Mehrdad Farajtabar
Navid Azizan
Alex Mott
Ang Li
CLL
92
365
0
15 Oct 2019
Large Scale Incremental Learning
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
91
1,256
0
30 May 2019
Task-Free Continual Learning
Task-Free Continual Learning
Rahaf Aljundi
Klaas Kelchtermans
Tinne Tuytelaars
CLL
120
360
0
10 Dec 2018
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
193
1,453
0
02 Dec 2018
Experience Replay for Continual Learning
Experience Replay for Continual Learning
David Rolnick
Arun Ahuja
Jonathan Richard Schwarz
Timothy Lillicrap
Greg Wayne
CLL
114
1,158
0
28 Nov 2018
Re-evaluating Continual Learning Scenarios: A Categorization and Case
  for Strong Baselines
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
Yen-Chang Hsu
Yen-Cheng Liu
Anita Ramasamy
Z. Kira
CLL
ELM
77
357
0
30 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
85
1,157
0
25 Jul 2018
Selective Experience Replay for Lifelong Learning
Selective Experience Replay for Lifelong Learning
David Isele
Akansel Cosgun
CLL
84
456
0
28 Feb 2018
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
348
7,498
0
02 Dec 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
214
3,787
0
18 Nov 2015
Non-parametric Stochastic Approximation with Large Step sizes
Non-parametric Stochastic Approximation with Large Step sizes
Aymeric Dieuleveut
Francis R. Bach
48
170
0
02 Aug 2014
Online Learning as Stochastic Approximation of Regularization Paths
Online Learning as Stochastic Approximation of Regularization Paths
P. Tarres
Yuan Yao
71
94
0
29 Mar 2011
1