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Orthogonal Gradient Descent for Continual Learning

Orthogonal Gradient Descent for Continual Learning

15 October 2019
Mehrdad Farajtabar
Navid Azizan
Alex Mott
Ang Li
    CLL
ArXivPDFHTML

Papers citing "Orthogonal Gradient Descent for Continual Learning"

32 / 82 papers shown
Title
Incremental Task Learning with Incremental Rank Updates
Incremental Task Learning with Incremental Rank Updates
Rakib Hyder
Ken Shao
Boyu Hou
P. Markopoulos
Ashley Prater-Bennette
Ulugbek S. Kamilov
CLL
16
13
0
19 Jul 2022
Debugging using Orthogonal Gradient Descent
Debugging using Orthogonal Gradient Descent
Narsimha Chilkuri
C. Eliasmith
26
1
0
17 Jun 2022
Switchable Representation Learning Framework with Self-compatibility
Switchable Representation Learning Framework with Self-compatibility
Shengsen Wu
Yan Bai
Yihang Lou
Xiongkun Linghu
Jianzhong He
Ling-yu Duan
22
1
0
16 Jun 2022
Prompt-aligned Gradient for Prompt Tuning
Prompt-aligned Gradient for Prompt Tuning
Beier Zhu
Yulei Niu
Yucheng Han
Yuehua Wu
Hanwang Zhang
VLM
189
272
0
30 May 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge
  Consolidation
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation
Qingfeng Lan
Yangchen Pan
Jun Luo
A. R. Mahmood
OffRL
29
7
0
22 May 2022
How catastrophic can catastrophic forgetting be in linear regression?
How catastrophic can catastrophic forgetting be in linear regression?
Itay Evron
E. Moroshko
Rachel A. Ward
Nati Srebro
Daniel Soudry
CLL
30
48
0
19 May 2022
Memory Bounds for Continual Learning
Memory Bounds for Continual Learning
Xi Chen
Christos H. Papadimitriou
Binghui Peng
CLL
LRM
29
22
0
22 Apr 2022
Efficient Test-Time Model Adaptation without Forgetting
Efficient Test-Time Model Adaptation without Forgetting
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
S. Zheng
P. Zhao
Mingkui Tan
OOD
VLM
TTA
33
311
0
06 Apr 2022
Modelling continual learning in humans with Hebbian context gating and
  exponentially decaying task signals
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals
Timo Flesch
D. G. Nagy
Andrew M. Saxe
Christopher Summerfield
34
34
0
22 Mar 2022
Continual Feature Selection: Spurious Features in Continual Learning
Continual Feature Selection: Spurious Features in Continual Learning
Timothée Lesort
CLL
30
10
0
02 Mar 2022
Architecture Matters in Continual Learning
Architecture Matters in Continual Learning
Seyed Iman Mirzadeh
Arslan Chaudhry
Dong Yin
Timothy Nguyen
Razvan Pascanu
Dilan Görür
Mehrdad Farajtabar
OOD
KELM
118
58
0
01 Feb 2022
Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are
  Better Continual Learners
Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners
Duo Li
Guimei Cao
Yunlu Xu
Zhanzhan Cheng
Yi Niu
CLL
27
21
0
13 Jan 2022
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
295
0
22 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
21
13
0
27 Oct 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
A review of mobile robot motion planning methods: from classical motion
  planning workflows to reinforcement learning-based architectures
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
Changyin Sun
Zicheng He
Chunwei Song
Changyin Sun
38
54
0
31 Aug 2021
Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral
Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral
Lucio Dery
Yann N. Dauphin
David Grangier
MoMe
18
29
0
25 Aug 2021
Learning a Neural Diff for Speech Models
Learning a Neural Diff for Speech Models
J. Macoskey
Grant P. Strimel
Ariya Rastrow
18
2
0
03 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
22
18
0
29 Jul 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Polina Kirichenko
Mehrdad Farajtabar
Dushyant Rao
Balaji Lakshminarayanan
Nir Levine
Ang Li
Huiyi Hu
A. Wilson
Razvan Pascanu
VLM
BDL
CLL
27
19
0
24 Jun 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
Gradient Projection Memory for Continual Learning
Gradient Projection Memory for Continual Learning
Gobinda Saha
Isha Garg
Kaushik Roy
VLM
CLL
47
267
0
17 Mar 2021
Sketching Curvature for Efficient Out-of-Distribution Detection for Deep
  Neural Networks
Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks
Apoorva Sharma
Navid Azizan
Marco Pavone
UQCV
25
45
0
24 Feb 2021
Continual Learning with Deep Artificial Neurons
Continual Learning with Deep Artificial Neurons
Blake Camp
J. Mandivarapu
Rolando Estrada
18
8
0
13 Nov 2020
Continual Learning in Low-rank Orthogonal Subspaces
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry
Naeemullah Khan
P. Dokania
Philip Torr
CLL
33
114
0
22 Oct 2020
Linear Mode Connectivity in Multitask and Continual Learning
Linear Mode Connectivity in Multitask and Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Dilan Görür
Razvan Pascanu
H. Ghasemzadeh
CLL
37
139
0
09 Oct 2020
A Theoretical Analysis of Catastrophic Forgetting through the NTK
  Overlap Matrix
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
T. Doan
Mehdi Abbana Bennani
Bogdan Mazoure
Guillaume Rabusseau
Pierre Alquier
CLL
20
80
0
07 Oct 2020
Generalisation Guarantees for Continual Learning with Orthogonal
  Gradient Descent
Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent
Mehdi Abbana Bennani
Thang Doan
Masashi Sugiyama
CLL
50
61
0
21 Jun 2020
Understanding the Role of Training Regimes in Continual Learning
Understanding the Role of Training Regimes in Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Razvan Pascanu
H. Ghasemzadeh
CLL
21
219
0
12 Jun 2020
Disturbance-immune Weight Sharing for Neural Architecture Search
Disturbance-immune Weight Sharing for Neural Architecture Search
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yong Guo
P. Zhao
Junzhou Huang
Mingkui Tan
15
27
0
29 Mar 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
41
1,172
0
19 Jan 2020
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