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Optimal Continual Learning has Perfect Memory and is NP-hard

Optimal Continual Learning has Perfect Memory and is NP-hard

9 June 2020
Jeremias Knoblauch
Hisham Husain
Tom Diethe
    CLL
ArXivPDFHTML

Papers citing "Optimal Continual Learning has Perfect Memory and is NP-hard"

23 / 73 papers shown
Title
Continual Learning of Multi-modal Dynamics with External Memory
Continual Learning of Multi-modal Dynamics with External Memory
Abdullah Akgul
Gözde B. Ünal
M. Kandemir
CLL
19
0
0
02 Mar 2022
Continual Learning for CTR Prediction: A Hybrid Approach
Continual Learning for CTR Prediction: A Hybrid Approach
Ke Hu
Yi Qi
Jianqiang Huang
Jia Cheng
Jun Lei
18
6
0
18 Jan 2022
Hierarchical Prototype Networks for Continual Graph Representation
  Learning
Hierarchical Prototype Networks for Continual Graph Representation Learning
Xikun Zhang
Dongjin Song
Dacheng Tao
CLL
29
31
0
30 Nov 2021
Continual Adaptation of Semantic Segmentation using Complementary 2D-3D
  Data Representations
Continual Adaptation of Semantic Segmentation using Complementary 2D-3D Data Representations
Jonas Frey
Hermann Blum
Francesco Milano
Roland Siegwart
César Cadena
13
13
0
03 Nov 2021
Formalizing the Generalization-Forgetting Trade-off in Continual
  Learning
Formalizing the Generalization-Forgetting Trade-off in Continual Learning
Krishnan Raghavan
Prasanna Balaprakash
CLL
59
30
0
28 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
92
21
0
10 Sep 2021
An Investigation of Replay-based Approaches for Continual Learning
An Investigation of Replay-based Approaches for Continual Learning
Benedikt Bagus
A. Gepperth
CLL
33
31
0
15 Aug 2021
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based
  Class-Incremental Learning
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
Sungmin Cha
Beomyoung Kim
Y. Yoo
Taesup Moon
CLL
34
86
0
22 Jun 2021
Continual Learning in Deep Networks: an Analysis of the Last Layer
Continual Learning in Deep Networks: an Analysis of the Last Layer
Timothée Lesort
Thomas George
Irina Rish
KELM
16
22
0
03 Jun 2021
Smaller Is Better: An Analysis of Instance Quantity/Quality Trade-off in
  Rehearsal-based Continual Learning
Smaller Is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning
Francesco Pelosin
A. Torsello
16
1
0
28 May 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
21
48
0
19 Apr 2021
Understanding Continual Learning Settings with Data Distribution Drift
  Analysis
Understanding Continual Learning Settings with Data Distribution Drift Analysis
Timothée Lesort
Massimo Caccia
Irina Rish
25
55
0
04 Apr 2021
Towards Open World Object Detection
Towards Open World Object Detection
K. J. Joseph
Salman Khan
F. Khan
V. Balasubramanian
ObjD
24
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
68
0
22 Feb 2021
Training Neural Networks is $\exists\mathbb R$-complete
Training Neural Networks is ∃R\exists\mathbb R∃R-complete
Mikkel Abrahamsen
Linda Kleist
Tillmann Miltzow
6
1
0
19 Feb 2021
How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role
  of Interpolation
How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation
Ekdeep Singh Lubana
Puja Trivedi
Danai Koutra
Robert P. Dick
35
11
0
04 Feb 2021
Online Continual Learning in Image Classification: An Empirical Survey
Online Continual Learning in Image Classification: An Empirical Survey
Zheda Mai
Ruiwen Li
Jihwan Jeong
David Quispe
Hyunwoo J. Kim
Scott Sanner
VLM
CLL
28
407
0
25 Jan 2021
The Surprising Positive Knowledge Transfer in Continual 3D Object Shape
  Reconstruction
The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction
Anh Thai
Stefan Stojanov
Zixuan Huang
Isaac Rehg
James M. Rehg
CLL
30
0
0
18 Jan 2021
The Effectiveness of Memory Replay in Large Scale Continual Learning
The Effectiveness of Memory Replay in Large Scale Continual Learning
Yogesh Balaji
Mehrdad Farajtabar
Dong Yin
Alex Mott
Ang Li
16
38
0
06 Oct 2020
Machine Unlearning for Random Forests
Machine Unlearning for Random Forests
Jonathan Brophy
Daniel Lowd
MU
17
157
0
11 Sep 2020
Meta-Learning with Sparse Experience Replay for Lifelong Language
  Learning
Meta-Learning with Sparse Experience Replay for Lifelong Language Learning
Nithin Holla
Pushkar Mishra
H. Yannakoudakis
Ekaterina Shutova
KELM
CLL
6
21
0
10 Sep 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
45
61
0
21 Jun 2020
Regularization Shortcomings for Continual Learning
Regularization Shortcomings for Continual Learning
Timothée Lesort
Andrei Stoian
David Filliat
CLL
13
50
0
06 Dec 2019
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