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Towards Robust Evaluations of Continual Learning

Towards Robust Evaluations of Continual Learning

24 May 2018
Sebastian Farquhar
Y. Gal
    CLL
ArXivPDFHTML

Papers citing "Towards Robust Evaluations of Continual Learning"

50 / 191 papers shown
Title
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning
Amir Nazemi
Zeyad Moustafa
Paul Fieguth
VOS
CLL
8
5
0
09 Apr 2023
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt
  Representation Drift in Continual Learning
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
KELM
CLL
36
25
0
14 Feb 2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning
  Systems
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Megan M. Baker
Alexander New
Mario Aguilar-Simon
Ziad Al-Halah
Sébastien M. R. Arnold
...
Zifan Xu
A. Yanguas-Gil
Harel Yedidsion
Shangqun Yu
Gautam K. Vallabha
24
15
0
18 Jan 2023
Latent Spectral Regularization for Continual Learning
Latent Spectral Regularization for Continual Learning
Emanuele Frascaroli
Riccardo Benaglia
Matteo Boschini
Luca Moschella
Cosimo Fiorini
Emanuele Rodolà
Simone Calderara
BDL
CLL
22
3
0
09 Jan 2023
Generative appearance replay for continual unsupervised domain
  adaptation
Generative appearance replay for continual unsupervised domain adaptation
Boqi Chen
Kevin Thandiackal
Pushpak Pati
O. Goksel
CLL
MedIm
29
11
0
03 Jan 2023
Dynamically Modular and Sparse General Continual Learning
Dynamically Modular and Sparse General Continual Learning
Arnav Varma
Elahe Arani
Bahram Zonooz
16
1
0
02 Jan 2023
Sparse Coding in a Dual Memory System for Lifelong Learning
Sparse Coding in a Dual Memory System for Lifelong Learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
CLL
16
20
0
28 Dec 2022
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
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
Disentangling Transfer in Continual Reinforcement Learning
Disentangling Transfer in Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
62
27
0
28 Sep 2022
Bayesian Continual Learning via Spiking Neural Networks
Bayesian Continual Learning via Spiking Neural Networks
N. Skatchkovsky
Hyeryung Jang
Osvaldo Simeone
BDL
30
17
0
29 Aug 2022
Quantum Multi-Agent Meta Reinforcement Learning
Quantum Multi-Agent Meta Reinforcement Learning
Won Joon Yun
Jihong Park
Joongheon Kim
19
34
0
22 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
Latent Properties of Lifelong Learning Systems
Latent Properties of Lifelong Learning Systems
Corban G. Rivera
C. Ashcraft
Alexander New
J. Schmidt
Gautam K. Vallabha
CLL
10
0
0
28 Jul 2022
Consistency is the key to further mitigating catastrophic forgetting in
  continual learning
Consistency is the key to further mitigating catastrophic forgetting in continual learning
Prashant Bhat
Bahram Zonooz
Elahe Arani
CLL
32
16
0
11 Jul 2022
SYNERgy between SYNaptic consolidation and Experience Replay for general
  continual learning
SYNERgy between SYNaptic consolidation and Experience Replay for general continual learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
CLL
21
11
0
08 Jun 2022
Effects of Auxiliary Knowledge on Continual Learning
Effects of Auxiliary Knowledge on Continual Learning
Giovanni Bellitto
M. Pennisi
S. Palazzo
Lorenzo Bonicelli
Matteo Boschini
Simone Calderara
C. Spampinato
CLL
17
6
0
03 Jun 2022
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation
  Tasks in the Overparameterized Regime
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime
Daniel Goldfarb
Paul Hand
CLL
20
10
0
01 Jun 2022
Transfer without Forgetting
Transfer without Forgetting
Matteo Boschini
Lorenzo Bonicelli
Angelo Porrello
Giovanni Bellitto
M. Pennisi
S. Palazzo
C. Spampinato
Simone Calderara
CLL
11
46
0
01 Jun 2022
Feature Forgetting in Continual Representation Learning
Feature Forgetting in Continual Representation Learning
Xiao Zhang
Dejing Dou
Ji Wu
CLL
13
5
0
26 May 2022
The Effect of Task Ordering in Continual Learning
The Effect of Task Ordering in Continual Learning
Samuel J. Bell
Neil D. Lawrence
CLL
46
17
0
26 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-Jie Luo
A. R. Mahmood
OffRL
24
6
0
22 May 2022
Explain to Not Forget: Defending Against Catastrophic Forgetting with
  XAI
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI
Sami Ede
Serop Baghdadlian
Leander Weber
A. Nguyen
Dario Zanca
Wojciech Samek
Sebastian Lapuschkin
CLL
27
6
0
04 May 2022
Sylph: A Hypernetwork Framework for Incremental Few-shot Object
  Detection
Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection
Li Yin
Juan-Manuel Perez-Rua
Kevin J Liang
ObjD
25
35
0
25 Mar 2022
L2Explorer: A Lifelong Reinforcement Learning Assessment Environment
L2Explorer: A Lifelong Reinforcement Learning Assessment Environment
Erik C. Johnson
Eric Q. Nguyen
B. Schreurs
Chigozie Ewulum
C. Ashcraft
Neil Fendley
Megan M. Baker
Alexander New
Gautam K. Vallabha
11
9
0
14 Mar 2022
Sparsity and Heterogeneous Dropout for Continual Learning in the Null
  Space of Neural Activations
Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations
Ali Abbasi
Parsa Nooralinejad
Vladimir Braverman
Hamed Pirsiavash
Soheil Kolouri
CLL
34
16
0
12 Mar 2022
Increasing Depth of Neural Networks for Life-long Learning
Increasing Depth of Neural Networks for Life-long Learning
Jkedrzej Kozal
Michal Wo'zniak
CLL
15
8
0
22 Feb 2022
Learning Fast, Learning Slow: A General Continual Learning Method based
  on Complementary Learning System
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System
Elahe Arani
F. Sarfraz
Bahram Zonooz
CLL
90
121
0
29 Jan 2022
Lifelong Learning Metrics
Lifelong Learning Metrics
Alexander New
Megan M. Baker
Eric Q. Nguyen
Gautam K. Vallabha
14
17
0
20 Jan 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
CLL
VLM
139
91
0
17 Jan 2022
Mixture of basis for interpretable continual learning with distribution
  shifts
Mixture of basis for interpretable continual learning with distribution shifts
Mengda Xu
Sumitra Ganesh
Pranay Pasula
OOD
19
1
0
05 Jan 2022
Class-Incremental Continual Learning into the eXtended DER-verse
Class-Incremental Continual Learning into the eXtended DER-verse
Matteo Boschini
Lorenzo Bonicelli
Pietro Buzzega
Angelo Porrello
Simone Calderara
CLL
BDL
23
128
0
03 Jan 2022
Continual learning of longitudinal health records
Continual learning of longitudinal health records
Jacob Armstrong
David A. Clifton
CLL
KELM
16
15
0
22 Dec 2021
Learning to Prompt for Continual Learning
Learning to Prompt for Continual Learning
Zifeng Wang
Zizhao Zhang
Chen-Yu Lee
Han Zhang
Ruoxi Sun
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLL
VPVLM
KELM
VLM
22
729
0
16 Dec 2021
Overcome Anterograde Forgetting with Cycled Memory Networks
Overcome Anterograde Forgetting with Cycled Memory Networks
Jian Peng
Dingqi. Ye
Bo Tang
Yinjie Lei
Yu Liu
Haifeng Li
KELM
CLL
23
1
0
04 Dec 2021
Learning Curves for Continual Learning in Neural Networks:
  Self-Knowledge Transfer and Forgetting
Learning Curves for Continual Learning in Neural Networks: Self-Knowledge Transfer and Forgetting
Ryo Karakida
S. Akaho
CLL
24
11
0
03 Dec 2021
Reviewing continual learning from the perspective of human-level
  intelligence
Reviewing continual learning from the perspective of human-level intelligence
Yifan Chang
Wenbo Li
Jian Peng
Bo Tang
Yuzhi Kang
Yinjie Lei
Yuanmiao Gui
Qing Zhu
Yu Liu
Haifeng Li
26
4
0
23 Nov 2021
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
Continual Learning via Local Module Composition
Continual Learning via Local Module Composition
O. Ostapenko
Pau Rodríguez López
Massimo Caccia
Laurent Charlin
KELM
CLL
34
66
0
15 Nov 2021
International Workshop on Continual Semi-Supervised Learning:
  Introduction, Benchmarks and Baselines
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines
Ajmal Shahbaz
Salman Khan
M. Hossain
Vincenzo Lomonaco
Kevin J. Cannons
Zhan Xu
Fabio Cuzzolin
CLL
MU
11
4
0
27 Oct 2021
Class Incremental Online Streaming Learning
Class Incremental Online Streaming Learning
S. Banerjee
Vinay K. Verma
T. Parag
M. Singh
Vinay P. Namboodiri
CLL
29
4
0
20 Oct 2021
Behavioral Experiments for Understanding Catastrophic Forgetting
Behavioral Experiments for Understanding Catastrophic Forgetting
Samuel J. Bell
Neil D. Lawrence
22
4
0
20 Oct 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay
Continual Learning on Noisy Data Streams via Self-Purified Replay
C. Kim
Jinseo Jeong
Sang-chul Moon
Gunhee Kim
CLL
32
39
0
14 Oct 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to
  Promote Research Transparency and Comparability
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability
Martin Mundt
Steven Braun
Quentin Delfosse
Kristian Kersting
21
35
0
07 Oct 2021
Robust Importance Sampling for Error Estimation in the Context of
  Optimal Bayesian Transfer Learning
Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning
Omar Maddouri
Xiaoning Qian
Francis J. Alexander
E. R. Dougherty
Byung-Jun Yoon
11
4
0
05 Sep 2021
Adaptive Explainable Continual Learning Framework for Regression
  Problems with Focus on Power Forecasts
Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts
Yujiang He
AI4TS
CLL
14
2
0
24 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
15
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
27
40
0
14 Aug 2021
Sequoia: A Software Framework to Unify Continual Learning Research
Sequoia: A Software Framework to Unify Continual Learning Research
Fabrice Normandin
Florian Golemo
O. Ostapenko
Pau Rodríguez López
Matthew D Riemer
...
Dominic Zhao
Timothée Lesort
Laurent Charlin
Irina Rish
Massimo Caccia
CLL
6
20
0
02 Aug 2021
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