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Memory Aware Synapses: Learning what (not) to forget

Memory Aware Synapses: Learning what (not) to forget

27 November 2017
Rahaf Aljundi
F. Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
    KELM
    CLL
ArXivPDFHTML

Papers citing "Memory Aware Synapses: Learning what (not) to forget"

50 / 308 papers shown
Title
Target Layer Regularization for Continual Learning Using Cramer-Wold
  Generator
Target Layer Regularization for Continual Learning Using Cramer-Wold Generator
Marcin Mazur
Lukasz Pustelnik
Szymon Knop
Patryk Pagacz
Przemysław Spurek
30
2
0
15 Nov 2021
Lifelong Vehicle Trajectory Prediction Framework Based on Generative
  Replay
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay
Peng Bao
Zonghai Chen
Ji-kai Wang
Deyun Dai
Hao Zhao
33
9
0
15 Nov 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
25
32
0
23 Oct 2021
HCV: Hierarchy-Consistency Verification for Incremental
  Implicitly-Refined Classification
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
Kai Wang
Xialei Liu
Luis Herranz
Joost van de Weijer
CLL
27
4
0
21 Oct 2021
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A
  Simple Linear Connector
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A Simple Linear Connector
Guoliang Lin
Hanlu Chu
Hanjiang Lai
MoMe
CLL
29
44
0
15 Oct 2021
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based
  on Prompt Tuning of T5
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
Chengwei Qin
Chenyu You
CLL
178
98
0
14 Oct 2021
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning
  via Sparse Networks
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
CLL
35
8
0
11 Oct 2021
GROWN: GRow Only When Necessary for Continual Learning
GROWN: GRow Only When Necessary for Continual Learning
Li Yang
Sen Lin
Junshan Zhang
Deliang Fan
CLL
36
11
0
03 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz
Siddhant M. Jayakumar
Razvan Pascanu
P. Latham
Yee Whye Teh
92
54
0
01 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang Pham
Chenghao Liu
Guosheng Lin
CLL
74
43
0
01 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
27
73
0
23 Sep 2021
Stabilizing Elastic Weight Consolidation method in practical ML tasks
  and using weight importances for neural network pruning
Stabilizing Elastic Weight Consolidation method in practical ML tasks and using weight importances for neural network pruning
Alexey Kutalev
A. Lapina
33
11
0
21 Sep 2021
Saliency Guided Experience Packing for Replay in Continual Learning
Saliency Guided Experience Packing for Replay in Continual Learning
Gobinda Saha
Kaushik Roy
VLM
KELM
CLL
94
22
0
10 Sep 2021
Memory-Free Generative Replay For Class-Incremental Learning
Memory-Free Generative Replay For Class-Incremental Learning
Xiaomeng Xin
Yiran Zhong
Yunzhong Hou
Jinjun Wang
Liang Zheng
24
8
0
01 Sep 2021
Prototype-Guided Memory Replay for Continual Learning
Prototype-Guided Memory Replay for Continual Learning
Stella Ho
Ming Liu
Lan Du
Longxiang Gao
Yong Xiang
CLL
13
30
0
28 Aug 2021
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
33
83
0
20 Aug 2021
Continual Semi-Supervised Learning through Contrastive Interpolation
  Consistency
Continual Semi-Supervised Learning through Contrastive Interpolation Consistency
Matteo Boschini
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
CLL
35
40
0
14 Aug 2021
Continual Neural Mapping: Learning An Implicit Scene Representation from
  Sequential Observations
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
Zike Yan
Yuxin Tian
Xuesong Shi
Ping Guo
Peng Wang
H. Zha
CLL
19
45
0
12 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
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
Task-Specific Normalization for Continual Learning of Blind Image
  Quality Models
Task-Specific Normalization for Continual Learning of Blind Image Quality Models
Weixia Zhang
Kede Ma
Guangtao Zhai
Xiaokang Yang
VLM
39
24
0
28 Jul 2021
Co-Transport for Class-Incremental Learning
Co-Transport for Class-Incremental Learning
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
39
73
0
27 Jul 2021
Multi-View Correlation Distillation for Incremental Object Detection
Multi-View Correlation Distillation for Incremental Object Detection
Dongbao Yang
Yu Zhou
Weiping Wang
32
59
0
05 Jul 2021
AutoNovel: Automatically Discovering and Learning Novel Visual
  Categories
AutoNovel: Automatically Discovering and Learning Novel Visual Categories
Kai Han
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Andrea Vedaldi
Andrew Zisserman
SSL
24
124
0
29 Jun 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
35
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
60
162
0
17 Jun 2021
Natural continual learning: success is a journey, not (just) a
  destination
Natural continual learning: success is a journey, not (just) a destination
Ta-Chu Kao
Kristopher T. Jensen
Gido M. van de Ven
A. Bernacchia
Guillaume Hennequin
CLL
23
48
0
15 Jun 2021
Continual World: A Robotic Benchmark For Continual Reinforcement
  Learning
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
OffRL
17
89
0
23 May 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
27
4
0
05 May 2021
A Deep Learning Framework for Lifelong Machine Learning
A Deep Learning Framework for Lifelong Machine Learning
Charles X. Ling
Tanner A. Bohn
CLL
24
5
0
01 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
Lifelong Learning with Sketched Structural Regularization
Lifelong Learning with Sketched Structural Regularization
Haoran Li
A. Krishnan
Jingfeng Wu
Soheil Kolouri
Praveen K. Pilly
Vladimir Braverman
CLL
30
17
0
17 Apr 2021
Continual Learning for Text Classification with Information
  Disentanglement Based Regularization
Continual Learning for Text Classification with Information Disentanglement Based Regularization
Yufan Huang
Yanzhe Zhang
Jiaao Chen
Xuezhi Wang
Diyi Yang
CLL
26
106
0
12 Apr 2021
New Insights on Reducing Abrupt Representation Change in Online
  Continual Learning
New Insights on Reducing Abrupt Representation Change in Online Continual Learning
Lucas Caccia
Rahaf Aljundi
Nader Asadi
Tinne Tuytelaars
Joelle Pineau
Eugene Belilovsky
CLL
21
186
0
11 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
Towards Lifelong Learning of End-to-end ASR
Towards Lifelong Learning of End-to-end ASR
Heng-Jui Chang
Hung-yi Lee
Lin-Shan Lee
KELM
CLL
35
34
0
04 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
38
130
0
01 Apr 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
435
0
31 Mar 2021
Distilled Replay: Overcoming Forgetting through Synthetic Samples
Distilled Replay: Overcoming Forgetting through Synthetic Samples
Andrea Rosasco
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
DD
24
47
0
29 Mar 2021
Efficient Feature Transformations for Discriminative and Generative
  Continual Learning
Efficient Feature Transformations for Discriminative and Generative Continual Learning
Vinay Kumar Verma
Kevin J Liang
Nikhil Mehta
Piyush Rai
Lawrence Carin
CLL
43
76
0
25 Mar 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean
  Classifier in Online Class-Incremental Continual Learning
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning
Zheda Mai
Ruiwen Li
Hyunwoo J. Kim
Scott Sanner
CLL
37
181
0
22 Mar 2021
Gradient Projection Memory for Continual Learning
Gradient Projection Memory for Continual Learning
Gobinda Saha
Isha Garg
Kaushik Roy
VLM
CLL
47
269
0
17 Mar 2021
Continual Learning for Recurrent Neural Networks: an Empirical
  Evaluation
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation
Andrea Cossu
Antonio Carta
Vincenzo Lomonaco
D. Bacciu
CLL
36
107
0
12 Mar 2021
Training Networks in Null Space of Feature Covariance for Continual
  Learning
Training Networks in Null Space of Feature Covariance for Continual Learning
Shipeng Wang
Xiaorong Li
Jian Sun
Zongben Xu
CLL
31
132
0
12 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
Understanding Catastrophic Forgetting and Remembering in Continual
  Learning with Optimal Relevance Mapping
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
Prakhar Kaushik
Alex Gain
Adam Kortylewski
Alan Yuille
CLL
11
69
0
22 Feb 2021
Continual Learning for Blind Image Quality Assessment
Continual Learning for Blind Image Quality Assessment
Weixia Zhang
Dingquan Li
Chao Ma
Guangtao Zhai
Xiaokang Yang
Kede Ma
VLM
24
86
0
19 Feb 2021
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