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Lifelong Machine Learning with Deep Streaming Linear Discriminant
  Analysis

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis

4 September 2019
Tyler L. Hayes
Christopher Kanan
    CLL
ArXivPDFHTML

Papers citing "Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis"

30 / 30 papers shown
Title
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Milad Khademi Nori
Il Kim
Guanghui Wang
CLL
50
0
0
09 May 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Saleh Momeni
Bing Liu
CLL
84
1
0
17 Feb 2025
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
Yanlai Yang
Mengye Ren
223
0
0
21 Jan 2025
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
Liangzu Peng
Juan Elenter
Joshua Agterberg
Alejandro Ribeiro
René Vidal
VLM
CLL
46
1
0
01 Oct 2024
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
Qifan Zhang
Yunhui Guo
Yu Xiang
CLL
VLM
56
0
0
18 Jul 2024
Future-Proofing Class-Incremental Learning
Future-Proofing Class-Incremental Learning
Quentin Jodelet
Xin Liu
Yin Jun Phua
Tsuyoshi Murata
VLM
44
2
0
04 Apr 2024
Divide and not forget: Ensemble of selectively trained experts in
  Continual Learning
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
29
28
0
18 Jan 2024
Chunking: Continual Learning is not just about Distribution Shift
Chunking: Continual Learning is not just about Distribution Shift
Thomas L. Lee
Amos Storkey
25
1
0
03 Oct 2023
SATHUR: Self Augmenting Task Hallucinal Unified Representation for
  Generalized Class Incremental Learning
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning
Sathursan Kanagarajah
Thanuja D. Ambegoda
Ranga Rodrigo
CLL
27
0
0
13 Aug 2023
Online Continual Learning for Robust Indoor Object Recognition
Online Continual Learning for Robust Indoor Object Recognition
Umberto Michieli
Mete Ozay
31
9
0
19 Jul 2023
Prediction Error-based Classification for Class-Incremental Learning
Prediction Error-based Classification for Class-Incremental Learning
Michal Zajkac
Tinne Tuytelaars
Gido M. van de Ven
CLL
31
8
0
30 May 2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning
  Systems
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
30
15
0
18 Jan 2023
System Design for an Integrated Lifelong Reinforcement Learning Agent
  for Real-Time Strategy Games
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
36
4
0
08 Dec 2022
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
Grégoire Petit
Adrian Daniel Popescu
Hugo Schindler
David Picard
Bertrand Delezoide
CLL
30
112
0
23 Nov 2022
Cold Start Streaming Learning for Deep Networks
Cold Start Streaming Learning for Deep Networks
Cameron R. Wolfe
Anastasios Kyrillidis
CLL
23
2
0
09 Nov 2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
Gyuhak Kim
Zixuan Ke
Bin Liu
VLM
CLL
OODD
25
29
0
20 Aug 2022
Simpler is Better: off-the-shelf Continual Learning Through Pretrained
  Backbones
Simpler is Better: off-the-shelf Continual Learning Through Pretrained Backbones
Francesco Pelosin
VLM
19
11
0
03 May 2022
A Closer Look at Rehearsal-Free Continual Learning
A Closer Look at Rehearsal-Free Continual Learning
James Smith
Junjiao Tian
Shaunak Halbe
Yen-Chang Hsu
Z. Kira
VLM
CLL
26
60
0
31 Mar 2022
Ex-Model: Continual Learning from a Stream of Trained Models
Ex-Model: Continual Learning from a Stream of Trained Models
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
CLL
19
11
0
13 Dec 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental
  Learning
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
60
162
0
17 Jun 2021
MLDemon: Deployment Monitoring for Machine Learning Systems
MLDemon: Deployment Monitoring for Machine Learning Systems
Antonio A. Ginart
Martin Jinye Zhang
James Zou
54
18
0
28 Apr 2021
Class-Incremental Learning with Generative Classifiers
Class-Incremental Learning with Generative Classifiers
Gido M. van de Ven
Zhe Li
A. Tolias
BDL
50
58
0
20 Apr 2021
Balanced softmax cross-entropy for incremental learning with and without
  memory
Balanced softmax cross-entropy for incremental learning with and without memory
Quentin Jodelet
Xin Liu
T. Murata
CLL
30
25
0
23 Mar 2021
Selective Replay Enhances Learning in Online Continual Analogical
  Reasoning
Selective Replay Enhances Learning in Online Continual Analogical Reasoning
Tyler L. Hayes
Christopher Kanan
CLL
31
20
0
06 Mar 2021
Self-Supervised Features Improve Open-World Learning
Self-Supervised Features Improve Open-World Learning
A. Dhamija
T. Ahmad
Jonathan Schwan
Mohsen Jafarzadeh
Chunchun Li
Terrance E. Boult
SSL
27
13
0
15 Feb 2021
EEC: Learning to Encode and Regenerate Images for Continual Learning
EEC: Learning to Encode and Regenerate Images for Continual Learning
Ali Ayub
Alan R. Wagner
CLL
43
59
0
13 Jan 2021
Energy-Based Models for Continual Learning
Energy-Based Models for Continual Learning
Shuang Li
Yilun Du
Gido M. van de Ven
Igor Mordatch
27
42
0
24 Nov 2020
Latent Replay for Real-Time Continual Learning
Latent Replay for Real-Time Continual Learning
Lorenzo Pellegrini
G. Graffieti
Vincenzo Lomonaco
Davide Maltoni
CLL
28
163
0
02 Dec 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes
Kushal Kafle
Robik Shrestha
Manoj Acharya
Christopher Kanan
CLL
31
295
0
06 Oct 2019
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
Vincenzo Lomonaco
Davide Maltoni
Lorenzo Pellegrini
CLL
VLM
28
67
0
08 Jul 2019
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