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End-to-End Incremental Learning

End-to-End Incremental Learning

25 July 2018
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
Cordelia Schmid
Alahari Karteek
    CLL
ArXivPDFHTML

Papers citing "End-to-End Incremental Learning"

50 / 235 papers shown
Title
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Arthur Douillard
Alexandre Ramé
Guillaume Couairon
Matthieu Cord
CLL
30
299
0
22 Nov 2021
Self-Supervised Class Incremental Learning
Self-Supervised Class Incremental Learning
Zixuan Ni
Siliang Tang
Yueting Zhuang
CLL
36
6
0
18 Nov 2021
One Pass ImageNet
One Pass ImageNet
Huiyi Hu
Ang Li
Daniele Calandriello
Dilan Görür
VLM
13
18
0
03 Nov 2021
Provable Lifelong Learning of Representations
Provable Lifelong Learning of Representations
Xinyuan Cao
Weiyang Liu
Santosh Vempala
CLL
25
13
0
27 Oct 2021
Multi-Domain Incremental Learning for Semantic Segmentation
Multi-Domain Incremental Learning for Semantic Segmentation
Prachi Garg
Rohit Saluja
V. Balasubramanian
Chetan Arora
A. Subramanian
C. V. Jawahar
CLL
30
32
0
23 Oct 2021
A TinyML Platform for On-Device Continual Learning with Quantized Latent
  Replays
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays
Leonardo Ravaglia
Manuele Rusci
D. Nadalini
Alessandro Capotondi
Francesco Conti
Luca Benini
BDL
44
64
0
20 Oct 2021
Graph Condensation for Graph Neural Networks
Graph Condensation for Graph Neural Networks
Wei Jin
Lingxiao Zhao
Shichang Zhang
Yozen Liu
Jiliang Tang
Neil Shah
DD
AI4CE
37
148
0
14 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
30
73
0
23 Sep 2021
Online Unsupervised Learning of Visual Representations and Categories
Online Unsupervised Learning of Visual Representations and Categories
Mengye Ren
Tyler R. Scott
Michael L. Iuzzolino
Michael C. Mozer
R. Zemel
OCL
SSL
40
4
0
13 Sep 2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and
  Calibration without Forgetting
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting
Anna Kukleva
Hilde Kuehne
Bernt Schiele
CLL
20
50
0
18 Aug 2021
Few-Shot Batch Incremental Road Object Detection via Detector Fusion
Few-Shot Batch Incremental Road Object Detection via Detector Fusion
Anuj Tambwekar
Kshitij Agrawal
Anay Majee
A. Subramanian
ObjD
16
5
0
18 Aug 2021
Incremental cluster validity index-guided online learning for
  performance and robustness to presentation order
Incremental cluster validity index-guided online learning for performance and robustness to presentation order
Leonardo Enzo Brito da Silva
Nagasharath Rayapati
D. Wunsch
CLL
39
8
0
17 Aug 2021
Online Continual Learning For Visual Food Classification
Online Continual Learning For Visual Food Classification
Jiangpeng He
F. Zhu
CLL
38
47
0
15 Aug 2021
DIODE: Dilatable Incremental Object Detection
DIODE: Dilatable Incremental Object Detection
Can Peng
Kun-li Zhao
Sam Maksoud
Tianren Wang
Brian C. Lovell
CLL
ObjD
27
9
0
12 Aug 2021
Video Transformer for Deepfake Detection with Incremental Learning
Video Transformer for Deepfake Detection with Incremental Learning
Sohail Ahmed Khan
Hang Dai
ViT
24
63
0
11 Aug 2021
Discriminative Distillation to Reduce Class Confusion in Continual
  Learning
Discriminative Distillation to Reduce Class Confusion in Continual Learning
Changhong Zhong
Z. Cui
Ruixuan Wang
Weishi Zheng
23
1
0
11 Aug 2021
An EM Framework for Online Incremental Learning of Semantic Segmentation
An EM Framework for Online Incremental Learning of Semantic Segmentation
Shipeng Yan
Jiale Zhou
Jiangwei Xie
Songyang Zhang
Xuming He
CLL
27
40
0
08 Aug 2021
Bayesian Embeddings for Few-Shot Open World Recognition
Bayesian Embeddings for Few-Shot Open World Recognition
John Willes
James Harrison
Ali Harakeh
Chelsea Finn
Marco Pavone
Steven Waslander
BDL
OffRL
27
18
0
29 Jul 2021
A First Look at Class Incremental Learning in Deep Learning Mobile
  Traffic Classification
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification
Giampaolo Bovenzi
Lixuan Yang
A. Finamore
Giuseppe Aceto
D. Ciuonzo
A. Pescapé
Dario Rossi
23
22
0
09 Jul 2021
Learning without Forgetting for 3D Point Cloud Objects
Learning without Forgetting for 3D Point Cloud Objects
T. Chowdhury
Mahira Jalisha
A. Cheraghian
Shafin Rahman
3DPC
40
9
0
27 Jun 2021
Incremental Deep Neural Network Learning using Classification Confidence
  Thresholding
Incremental Deep Neural Network Learning using Classification Confidence Thresholding
Justin Leo
Jugal Kalita
CLL
24
15
0
21 Jun 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
65
162
0
17 Jun 2021
Dynamic Language Models for Continuously Evolving Content
Dynamic Language Models for Continuously Evolving Content
Spurthi Amba Hombaiah
Tao Chen
Mingyang Zhang
Michael Bendersky
Marc Najork
CLL
KELM
45
37
0
11 Jun 2021
Generative Feature-driven Image Replay for Continual Learning
Generative Feature-driven Image Replay for Continual Learning
Kevin Thandiackal
Tiziano Portenier
Andrea Giovannini
M. Gabrani
O. Goksel
CLL
VLM
DiffM
20
9
0
09 Jun 2021
Schematic Memory Persistence and Transience for Efficient and Robust
  Continual Learning
Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning
Yuyang Gao
Giorgio Ascoli
Liang Zhao
32
4
0
05 May 2021
The Pursuit of Knowledge: Discovering and Localizing Novel Categories
  using Dual Memory
The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory
Sai Saketh Rambhatla
Ramalingam Chellappa
Abhinav Shrivastava
25
17
0
04 May 2021
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned
  Generation
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
Mengyao Zhai
Lei Chen
Jiawei He
Megha Nawhal
Frederick Tung
Greg Mori
CLL
38
28
0
24 Apr 2021
Continual Learning in Sensor-based Human Activity Recognition: an
  Empirical Benchmark Analysis
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis
Saurav Jha
Martin Schiemer
F. Zambonelli
Juan Ye
23
48
0
19 Apr 2021
Unsupervised Class-Incremental Learning Through Confusion
Unsupervised Class-Incremental Learning Through Confusion
Shivam Khare
Kun Cao
James M. Rehg
SSL
CLL
24
6
0
09 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
52
130
0
01 Apr 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
42
324
0
31 Mar 2021
DER: Dynamically Expandable Representation for Class Incremental
  Learning
DER: Dynamically Expandable Representation for Class Incremental Learning
Shipeng Yan
Jiangwei Xie
Xuming He
CLL
29
438
0
31 Mar 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
35
25
0
23 Mar 2021
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation
Nan Pu
Wei Chen
Yu Liu
E. Bakker
M. Lew
CLL
24
82
0
23 Mar 2021
ConDA: Continual Unsupervised Domain Adaptation
ConDA: Continual Unsupervised Domain Adaptation
A. M. N. Taufique
C. S. Jahan
Andreas E. Savakis
TTA
CLL
22
10
0
19 Mar 2021
TinyOL: TinyML with Online-Learning on Microcontrollers
TinyOL: TinyML with Online-Learning on Microcontrollers
Haoyu Ren
Darko Anicic
Thomas Runkler
30
125
0
15 Mar 2021
Learning Novel Objects Continually Through Curiosity
Learning Novel Objects Continually Through Curiosity
Ali Ayub
Alan R. Wagner
CLL
45
4
0
13 Mar 2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and
  Disentangled Latent Representations
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
Umberto Michieli
Pietro Zanuttigh
CLL
43
138
0
10 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
33
183
0
06 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
Towards Open World Object Detection
Towards Open World Object Detection
K. J. Joseph
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjD
30
448
0
03 Mar 2021
Essentials for Class Incremental Learning
Essentials for Class Incremental Learning
Sudhanshu Mittal
Silvio Galesso
Thomas Brox
CLL
22
96
0
18 Feb 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
32
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
48
59
0
13 Jan 2021
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
Jiahua Dong
Yang Cong
Gan Sun
Bingtao Ma
Lichen Wang
3DPC
CLL
48
32
0
16 Dec 2020
Self-Training for Class-Incremental Semantic Segmentation
Self-Training for Class-Incremental Semantic Segmentation
Lu Yu
Xialei Liu
Joost van de Weijer
CLL
SSL
28
54
0
06 Dec 2020
FPRaker: A Processing Element For Accelerating Neural Network Training
FPRaker: A Processing Element For Accelerating Neural Network Training
Omar Mohamed Awad
Mostafa Mahmoud
Isak Edo Vivancos
Ali Hadi Zadeh
Ciaran Bannon
Anand Jayarajan
Gennady Pekhimenko
Andreas Moshovos
28
15
0
15 Oct 2020
Adaptive Aggregation Networks for Class-Incremental Learning
Adaptive Aggregation Networks for Class-Incremental Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
26
215
0
10 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic
  Forgetting
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
Sayna Ebrahimi
Suzanne Petryk
Akash Gokul
William Gan
Joseph E. Gonzalez
Marcus Rohrbach
Trevor Darrell
CLL
37
45
0
04 Oct 2020
Continual Learning for Natural Language Generation in Task-oriented
  Dialog Systems
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems
Fei Mi
Liangwei Chen
Mengjie Zhao
Minlie Huang
Boi Faltings
CLL
KELM
24
68
0
02 Oct 2020
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