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Efficient Lifelong Learning with A-GEM

Efficient Lifelong Learning with A-GEM

2 December 2018
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
    CLL
ArXivPDFHTML

Papers citing "Efficient Lifelong Learning with A-GEM"

50 / 676 papers shown
Title
Hierarchically Structured Task-Agnostic Continual Learning
Hierarchically Structured Task-Agnostic Continual Learning
Heinke Hihn
Daniel A. Braun
BDL
CLL
19
8
0
14 Nov 2022
Mitigating Forgetting in Online Continual Learning via Contrasting
  Semantically Distinct Augmentations
Mitigating Forgetting in Online Continual Learning via Contrasting Semantically Distinct Augmentations
Shenghao Yu
Wei-Chen Chiu
CLL
13
1
0
10 Nov 2022
Cold Start Streaming Learning for Deep Networks
Cold Start Streaming Learning for Deep Networks
Cameron R. Wolfe
Anastasios Kyrillidis
CLL
15
2
0
09 Nov 2022
$BT^2$: Backward-compatible Training with Basis Transformation
BT2BT^2BT2: Backward-compatible Training with Basis Transformation
Yi Zhou
Zilu Li
Abhinav Shrivastava
Hengshuang Zhao
Antonio Torralba
Taipeng Tian
Ser-Nam Lim
13
3
0
08 Nov 2022
Momentum-based Weight Interpolation of Strong Zero-Shot Models for
  Continual Learning
Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning
Zafir Stojanovski
Karsten Roth
Zeynep Akata
16
16
0
06 Nov 2022
A Theoretical Study on Solving Continual Learning
A Theoretical Study on Solving Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
19
70
0
04 Nov 2022
Beyond Not-Forgetting: Continual Learning with Backward Knowledge
  Transfer
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer
Sen Lin
Li Yang
Deliang Fan
Junshan Zhang
CLL
111
42
0
01 Nov 2022
Do Pre-trained Models Benefit Equally in Continual Learning?
Do Pre-trained Models Benefit Equally in Continual Learning?
Kuan-Ying Lee
Yuanyi Zhong
Yu-xiong Wang
CLL
24
27
0
27 Oct 2022
Weight Averaging: A Simple Yet Effective Method to Overcome Catastrophic
  Forgetting in Automatic Speech Recognition
Weight Averaging: A Simple Yet Effective Method to Overcome Catastrophic Forgetting in Automatic Speech Recognition
Steven Vander Eeckt
Hugo Van hamme
CLL
MoMe
58
14
0
27 Oct 2022
Federated Continual Learning to Detect Accounting Anomalies in Financial
  Auditing
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing
Marco Schreyer
Hamed Hemati
Damian Borth
M. Vasarhelyi
FedML
34
3
0
26 Oct 2022
Exclusive Supermask Subnetwork Training for Continual Learning
Exclusive Supermask Subnetwork Training for Continual Learning
Prateek Yadav
Mohit Bansal
CLL
22
5
0
18 Oct 2022
Navigating Memory Construction by Global Pseudo-Task Simulation for
  Continual Learning
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning
Yejia Liu
Wang Zhu
Shaolei Ren
CLL
22
3
0
16 Oct 2022
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong
  Learning in Task-Oriented Dialogue
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
Ying Zhao
Yinhe Zheng
Zhiliang Tian
Chang Gao
Yu Bowen
Haiyang Yu
Yongbin Li
Jianguo Sun
N. Zhang
CLL
OffRL
24
12
0
14 Oct 2022
Attribution-aware Weight Transfer: A Warm-Start Initialization for
  Class-Incremental Semantic Segmentation
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
Dipam Goswami
René Schuster
Joost van de Weijer
D. Stricker
CLL
24
18
0
13 Oct 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
Lorenzo Bonicelli
Matteo Boschini
Angelo Porrello
C. Spampinato
Simone Calderara
CLL
18
44
0
12 Oct 2022
Schedule-Robust Online Continual Learning
Schedule-Robust Online Continual Learning
Ruohan Wang
Marco Ciccone
Giulia Luise
A. Yapp
Massimiliano Pontil
C. Ciliberto
CLL
32
4
0
11 Oct 2022
Continual Learning by Modeling Intra-Class Variation
Continual Learning by Modeling Intra-Class Variation
L. Yu
Tianyang Hu
Lanqing Hong
Zhen Liu
Adrian Weller
Weiyang Liu
CLL
48
12
0
11 Oct 2022
Learning "O" Helps for Learning More: Handling the Concealed Entity
  Problem for Class-incremental NER
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER
Ruotian Ma
Xuanting Chen
Lin Zhang
Xin Zhou
Junzhe Wang
Tao Gui
Qi Zhang
Xiang Gao
Yunwen Chen
39
8
0
10 Oct 2022
Learning Robust Representations for Continual Relation Extraction via
  Adversarial Class Augmentation
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
Peiyi Wang
Yifan Song
Tianyu Liu
Binghuai Lin
Yunbo Cao
Sujian Li
Zhifang Sui
CLL
SLR
31
22
0
10 Oct 2022
TAME: Task Agnostic Continual Learning using Multiple Experts
TAME: Task Agnostic Continual Learning using Multiple Experts
Haoran Zhu
Maryam Majzoubi
Arihant Jain
A. Choromańska
OOD
9
3
0
08 Oct 2022
Topological Continual Learning with Wasserstein Distance and Barycenter
Topological Continual Learning with Wasserstein Distance and Barycenter
Tananun Songdechakraiwut
Xiaoshuang Yin
B. V. Veen
CLL
13
0
0
06 Oct 2022
Early or Late Fusion Matters: Efficient RGB-D Fusion in Vision
  Transformers for 3D Object Recognition
Early or Late Fusion Matters: Efficient RGB-D Fusion in Vision Transformers for 3D Object Recognition
Georgios Tziafas
H. Kasaei
ViT
35
10
0
03 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion
  Approximation
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation
Xiaohan Zou
Tong Lin
CLL
16
2
0
03 Oct 2022
Task Formulation Matters When Learning Continually: A Case Study in
  Visual Question Answering
Task Formulation Matters When Learning Continually: A Case Study in Visual Question Answering
Mavina Nikandrou
Lu Yu
Alessandro Suglia
Ioannis Konstas
Verena Rieser
OOD
30
5
0
30 Sep 2022
Multiple Modes for Continual Learning
Multiple Modes for Continual Learning
Siddhartha Datta
N. Shadbolt
CLL
MoMe
41
2
0
29 Sep 2022
A simple but strong baseline for online continual learning: Repeated
  Augmented Rehearsal
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal
Yaqian Zhang
Bernhard Pfahringer
E. Frank
Albert Bifet
N. Lim
Yunzhe Jia
CLL
104
40
0
28 Sep 2022
Disentangling Transfer in Continual Reinforcement Learning
Disentangling Transfer in Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
60
27
0
28 Sep 2022
Exploring Example Influence in Continual Learning
Exploring Example Influence in Continual Learning
Q. Sun
Fan Lyu
Fanhua Shang
Wei Feng
Liang Wan
CLL
66
45
0
25 Sep 2022
Improving Replay-Based Continual Semantic Segmentation with Smart Data
  Selection
Improving Replay-Based Continual Semantic Segmentation with Smart Data Selection
Tobias Kalb
Björn Mauthe
Jürgen Beyerer
CLL
21
10
0
20 Sep 2022
SparCL: Sparse Continual Learning on the Edge
SparCL: Sparse Continual Learning on the Edge
Zifeng Wang
Zheng Zhan
Yifan Gong
Geng Yuan
Wei Niu
T. Jian
Bin Ren
Stratis Ioannidis
Yanzhi Wang
Jennifer Dy
CLL
55
59
0
20 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning
Learn the Time to Learn: Replay Scheduling in Continual Learning
Marcus Klasson
Hedvig Kjellström
Chen Zhang
CLL
19
9
0
18 Sep 2022
Continual Learning with Dependency Preserving Hypernetworks
Continual Learning with Dependency Preserving Hypernetworks
Dupati Srikar Chandra
Sakshi Varshney
P. K. Srijith
Sunil R. Gupta
CLL
16
7
0
16 Sep 2022
Exploring Domain Incremental Video Highlights Detection with the
  LiveFood Benchmark
Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark
Sen Pei
Shixiong Xu
Xiaojie Jin
23
0
0
12 Sep 2022
Online Continual Learning via the Meta-learning Update with Multi-scale
  Knowledge Distillation and Data Augmentation
Online Continual Learning via the Meta-learning Update with Multi-scale Knowledge Distillation and Data Augmentation
Ya-nan Han
Jian-wei Liu
KELM
CLL
33
10
0
12 Sep 2022
Class-Incremental Learning via Knowledge Amalgamation
Class-Incremental Learning via Knowledge Amalgamation
Marcus Vinícius de Carvalho
Mahardhika Pratama
Jie Zhang
Yajuan San
CLL
16
8
0
05 Sep 2022
Scalable Adversarial Online Continual Learning
Scalable Adversarial Online Continual Learning
T. Dam
Mahardhika Pratama
Md Meftahul Ferdaus
S. Anavatti
Hussein Abbas
CLL
27
3
0
04 Sep 2022
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task
  Distributions
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions
Zhenyi Wang
Li Shen
Le Fang
Qiuling Suo
Dongling Zhan
Tiehang Duan
Mingchen Gao
OOD
CLL
13
14
0
03 Sep 2022
Continuous QA Learning with Structured Prompts
Yinhe Zheng
CLL
22
1
0
31 Aug 2022
Beyond Supervised Continual Learning: a Review
Beyond Supervised Continual Learning: a Review
Benedikt Bagus
A. Gepperth
Timothée Lesort
BDL
CLL
19
10
0
30 Aug 2022
Sustaining Fairness via Incremental Learning
Sustaining Fairness via Incremental Learning
Somnath Basu Roy Chowdhury
Snigdha Chaturvedi
FaML
CLL
15
4
0
25 Aug 2022
Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data
Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data
Zhe Huang
Mary-Joy Sidhom
B. Wessler
M. C. Hughes
25
10
0
25 Aug 2022
Lifelong Learning for Neural powered Mixed Integer Programming
Lifelong Learning for Neural powered Mixed Integer Programming
S. Manchanda
Sayan Ranu
CLL
25
1
0
24 Aug 2022
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
Xiaofan Yu
Yunhui Guo
Sicun Gao
Tajana Simunic
CLL
SSL
28
14
0
24 Aug 2022
Multi-domain Learning for Updating Face Anti-spoofing Models
Multi-domain Learning for Updating Face Anti-spoofing Models
Xiao Guo
Yaojie Liu
Anil Jain
Xiaoming Liu
CLL
CVBM
16
30
0
23 Aug 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
15
29
0
20 Aug 2022
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental
  Learning
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning
Hyounguk Shon
Janghyeon Lee
Seungwook Kim
Junmo Kim
CLL
19
11
0
17 Aug 2022
On the Limitations of Continual Learning for Malware Classification
On the Limitations of Continual Learning for Malware Classification
Mohammad Saidur Rahman
Scott E. Coull
M. Wright
26
13
0
13 Aug 2022
Patching open-vocabulary models by interpolating weights
Patching open-vocabulary models by interpolating weights
Gabriel Ilharco
Mitchell Wortsman
S. Gadre
Shuran Song
Hannaneh Hajishirzi
Simon Kornblith
Ali Farhadi
Ludwig Schmidt
VLM
KELM
27
166
0
10 Aug 2022
Continual Machine Reading Comprehension via Uncertainty-aware Fixed
  Memory and Adversarial Domain Adaptation
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation
Zhijing Wu
Hua Xu
Jingliang Fang
Kai Gao
CLL
23
1
0
10 Aug 2022
Class-Incremental Learning with Cross-Space Clustering and Controlled
  Transfer
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer
Arjun Ashok
K. J. Joseph
V. Balasubramanian
CLL
14
29
0
07 Aug 2022
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