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1909.01520
Cited By
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
4 September 2019
Tyler L. Hayes
Christopher Kanan
CLL
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Papers citing
"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis"
23 / 23 papers shown
Title
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
M. Nori
Il Kim
Guanghui Wang
CLL
45
0
0
09 May 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Saleh Momeni
Bing Liu
CLL
82
1
0
17 Feb 2025
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
Yanlai Yang
Mengye Ren
154
0
0
21 Jan 2025
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
Qifan Zhang
Yunhui Guo
Yu Xiang
VLM
CLL
54
0
0
18 Jul 2024
Future-Proofing Class-Incremental Learning
Quentin Jodelet
Xin Liu
Yin Jun Phua
Tsuyoshi Murata
VLM
34
2
0
04 Apr 2024
Divide and not forget: Ensemble of selectively trained experts in Continual Learning
Grzegorz Rype'sć
Sebastian Cygert
Valeriya Khan
Tomasz Trzciñski
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
24
28
0
18 Jan 2024
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning
Sathursan Kanagarajah
Thanuja D. Ambegoda
Ranga Rodrigo
CLL
19
0
0
13 Aug 2023
Prediction Error-based Classification for Class-Incremental Learning
Michal Zajkac
Tinne Tuytelaars
Gido M. van de Ven
CLL
18
8
0
30 May 2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Megan M. Baker
Alexander New
Mario Aguilar-Simon
Ziad Al-Halah
Sébastien M. R. Arnold
...
Zifan Xu
A. Yanguas-Gil
Harel Yedidsion
Shangqun Yu
Gautam K. Vallabha
17
15
0
18 Jan 2023
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games
Indranil Sur
Z. Daniels
Abrar Rahman
Kamil Faber
Gianmarco J. Gallardo
...
Roberto Corizzo
Ajay Divakaran
M. Piacentino
Jesse Hostetler
Aswin Raghavan
CLL
OffRL
23
4
0
08 Dec 2022
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
Grégoire Petit
Adrian Daniel Popescu
Hugo Schindler
David Picard
Bertrand Delezoide
CLL
19
111
0
23 Nov 2022
Cold Start Streaming Learning for Deep Networks
Cameron R. Wolfe
Anastasios Kyrillidis
CLL
15
2
0
09 Nov 2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
Gyuhak Kim
Zixuan Ke
Bin Liu
VLM
CLL
OODD
15
29
0
20 Aug 2022
A Closer Look at Rehearsal-Free Continual Learning
James Smith
Junjiao Tian
Shaunak Halbe
Yen-Chang Hsu
Z. Kira
VLM
CLL
13
58
0
31 Mar 2022
Ex-Model: Continual Learning from a Stream of Trained Models
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
CLL
14
11
0
13 Dec 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
James Smith
Yen-Chang Hsu
John C. Balloch
Yilin Shen
Hongxia Jin
Z. Kira
CLL
46
161
0
17 Jun 2021
MLDemon: Deployment Monitoring for Machine Learning Systems
Antonio A. Ginart
Martin Jinye Zhang
James Y. Zou
44
18
0
28 Apr 2021
Class-Incremental Learning with Generative Classifiers
Gido M. van de Ven
Zhe Li
A. Tolias
BDL
42
58
0
20 Apr 2021
Selective Replay Enhances Learning in Online Continual Analogical Reasoning
Tyler L. Hayes
Christopher Kanan
CLL
16
20
0
06 Mar 2021
Self-Supervised Features Improve Open-World Learning
A. Dhamija
T. Ahmad
Jonathan Schwan
Mohsen Jafarzadeh
Chunchun Li
Terrance E. Boult
SSL
14
13
0
15 Feb 2021
Energy-Based Models for Continual Learning
Shuang Li
Yilun Du
Gido M. van de Ven
Igor Mordatch
19
42
0
24 Nov 2020
Latent Replay for Real-Time Continual Learning
Lorenzo Pellegrini
G. Graffieti
Vincenzo Lomonaco
Davide Maltoni
CLL
15
163
0
02 Dec 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes
Kushal Kafle
Robik Shrestha
Manoj Acharya
Christopher Kanan
CLL
29
294
0
06 Oct 2019
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