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Learning System Dynamics without Forgetting
v1v2 (latest)

Learning System Dynamics without Forgetting

30 June 2024
Xikun Zhang
Dongjin Song
Yushan Jiang
Yixin Chen
Dacheng Tao
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Learning System Dynamics without Forgetting"

42 / 42 papers shown
Title
A Universal Framework for Compressing Embeddings in CTR Prediction
A Universal Framework for Compressing Embeddings in CTR Prediction
Kefan Wang
Hao Wang
Kenan Song
Wei Guo
Kai Cheng
Zechao Li
Yixiao Liu
Defu Lian
Enhong Chen
114
2
0
24 Feb 2025
Online Relational Inference for Evolving Multi-agent Interacting Systems
Online Relational Inference for Evolving Multi-agent Interacting Systems
Beomseok Kang
Priyabrata Saha
Sudarshan Sharma
Biswadeep Chakraborty
Saibal Mukhopadhyay
OffRL
63
1
0
03 Nov 2024
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks
Renqiang Luo
Huafei Huang
Shuo Yu
Zhuoyang Han
Estrid He
Xiuzhen Zhang
Xiwei Xu
70
3
0
27 May 2024
FairGT: A Fairness-aware Graph Transformer
FairGT: A Fairness-aware Graph Transformer
Renqiang Luo
Huafei Huang
Shuo Yu
Xiuzhen Zhang
Xiwei Xu
85
9
0
26 Apr 2024
Continual Learning on Graphs: Challenges, Solutions, and Opportunities
Continual Learning on Graphs: Challenges, Solutions, and Opportunities
Xikun Zhang
Dongjin Song
Dacheng Tao
CLL
71
10
0
18 Feb 2024
Empowering Time Series Analysis with Large Language Models: A Survey
Empowering Time Series Analysis with Large Language Models: A Survey
Yushan Jiang
Zijie Pan
Xikun Zhang
Sahil Garg
Anderson Schneider
Yuriy Nevmyvaka
Dongjin Song
AI4TSAIFin
168
56
0
05 Feb 2024
PGODE: Towards High-quality System Dynamics Modeling
PGODE: Towards High-quality System Dynamics Modeling
Xiao Luo
Yiyang Gu
Huiyu Jiang
Hang Zhou
Jinsheng Huang
Wei Ju
Zhiping Xiao
Ming Zhang
Yizhou Sun
AI4CE
101
7
0
11 Nov 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in
  Exemplar-Free Continual Learning
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
Dipam Goswami
Yuyang Liu
Bartlomiej Twardowski
Joost van de Weijer
CLL
82
61
0
25 Sep 2023
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical
  Inductive Biases
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
Yang Liu
Jiashun Cheng
Haihong Zhao
Tingyang Xu
P. Zhao
Fugee Tsung
Jia Li
Yu Rong
AI4CE
94
19
0
25 Aug 2023
Generalizing Graph ODE for Learning Complex System Dynamics across
  Environments
Generalizing Graph ODE for Learning Complex System Dynamics across Environments
Zijie Huang
Yizhou Sun
Wei Wang
CMLOODAI4CE
59
24
0
10 Jul 2023
Parameter-Level Soft-Masking for Continual Learning
Parameter-Level Soft-Masking for Continual Learning
Tatsuya Konishi
M. Kurokawa
C. Ono
Zixuan Ke
Gyuhak Kim
Bin Liu
CLL
64
40
0
26 Jun 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELMCLL
188
703
0
31 Jan 2023
Spatial Temporal Graph Attention Network for Skeleton-Based Action
  Recognition
Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition
Lianyu Hu
Sheng Liu
Wei Feng
ViT
49
10
0
18 Aug 2022
Equivariant Graph Mechanics Networks with Constraints
Equivariant Graph Mechanics Networks with Constraints
Wen-bing Huang
J. Han
Yu Rong
Tingyang Xu
Gang Hua
Junzhou Huang
AI4CE
75
80
0
12 Mar 2022
Hierarchical Prototype Networks for Continual Graph Representation
  Learning
Hierarchical Prototype Networks for Continual Graph Representation Learning
Xikun Zhang
Dongjin Song
Dacheng Tao
CLL
66
36
0
30 Nov 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message
  Passing
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Johannes Brandstetter
Rob D. Hesselink
Elise van der Pol
Erik J. Bekkers
Max Welling
105
244
0
06 Oct 2021
E(n) Equivariant Graph Neural Networks
E(n) Equivariant Graph Neural Networks
Victor Garcia Satorras
Emiel Hoogeboom
Max Welling
113
1,033
0
19 Feb 2021
Overcoming Catastrophic Forgetting in Graph Neural Networks
Overcoming Catastrophic Forgetting in Graph Neural Networks
Huihui Liu
Yiding Yang
Xinchao Wang
216
118
0
10 Dec 2020
Learning Continuous System Dynamics from Irregularly-Sampled Partial
  Observations
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations
Zijie Huang
Yizhou Sun
Wei Wang
AI4CE
49
77
0
08 Nov 2020
Supermasks in Superposition
Supermasks in Superposition
Mitchell Wortsman
Vivek Ramanujan
Rosanne Liu
Aniruddha Kembhavi
Mohammad Rastegari
J. Yosinski
Ali Farhadi
SSLCLL
91
297
0
26 Jun 2020
What's Hidden in a Randomly Weighted Neural Network?
What's Hidden in a Randomly Weighted Neural Network?
Vivek Ramanujan
Mitchell Wortsman
Aniruddha Kembhavi
Ali Farhadi
Mohammad Rastegari
66
361
0
29 Nov 2019
Hamiltonian Graph Networks with ODE Integrators
Hamiltonian Graph Networks with ODE Integrators
Alvaro Sanchez-Gonzalez
V. Bapst
Kyle Cranmer
Peter W. Battaglia
AI4CE
104
179
0
27 Sep 2019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Hattie Zhou
Janice Lan
Rosanne Liu
J. Yosinski
UQCV
65
389
0
03 May 2019
Three scenarios for continual learning
Three scenarios for continual learning
Gido M. van de Ven
A. Tolias
CLL
104
895
0
15 Apr 2019
Experience Replay for Continual Learning
Experience Replay for Continual Learning
David Rolnick
Arun Ahuja
Jonathan Richard Schwarz
Timothy Lillicrap
Greg Wayne
CLL
116
1,171
0
28 Nov 2018
Flexible Neural Representation for Physics Prediction
Flexible Neural Representation for Physics Prediction
Damian Mrowca
Chengxu Zhuang
E. Wang
Nick Haber
Li Fei-Fei
J. Tenenbaum
Daniel L. K. Yamins
OCLAI4CE
77
249
0
21 Jun 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
446
5,168
0
19 Jun 2018
Graph Edge Convolutional Neural Networks for Skeleton Based Action
  Recognition
Graph Edge Convolutional Neural Networks for Skeleton Based Action Recognition
Xikun Zhang
Chang Xu
Xinmei Tian
Dacheng Tao
3DHGNN
70
158
0
16 May 2018
Continual Lifelong Learning with Neural Networks: A Review
Continual Lifelong Learning with Neural Networks: A Review
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
KELMCLL
205
2,899
0
21 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and
  Intransigence
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry
P. Dokania
Thalaiyasingam Ajanthan
Philip Torr
CLL
105
1,145
0
30 Jan 2018
Memory Aware Synapses: Learning what (not) to forget
Memory Aware Synapses: Learning what (not) to forget
Rahaf Aljundi
F. Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
KELMCLL
87
1,647
0
27 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
484
20,265
0
30 Oct 2017
Lifelong Learning with Dynamically Expandable Networks
Lifelong Learning with Dynamically Expandable Networks
Jaehong Yoon
Eunho Yang
Jeongtae Lee
Sung Ju Hwang
CLL
125
1,229
0
04 Aug 2017
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLMCLL
131
2,738
0
26 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
803
132,454
0
12 Jun 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
598
7,496
0
04 Apr 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
374
7,572
0
02 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CEOCLPINNGNN
545
1,412
0
01 Dec 2016
iCaRL: Incremental Classifier and Representation Learning
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLLOOD
162
3,782
0
23 Nov 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLLOODSSL
308
4,432
0
29 Jun 2016
Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLLAI4CE
83
2,465
0
15 Jun 2016
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
458
16,922
0
20 Dec 2013
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