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	https://github.com/pythonfirst/continual_learning_papers#classics
Catastrophic forgetting in connectionist networks	https://www.sciencedirect.com/science/article/abs/pii/S1364661399012942
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1063-L1077
Lifelong robot learning	http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.71.3723&rep=rep1&type=pdf
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L129-L138
Catastrophic interference in connectionist networks: The sequential learning problem	https://www.sciencedirect.com/science/article/pii/S0079742108605368
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L733-L743
	https://github.com/pythonfirst/continual_learning_papers#surveys
GDumb: A Simple Approach that Questions Our Progress in Continual Learning	http://www.robots.ox.ac.uk/~tvg/publications/2020/gdumb.pdf
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1-L7
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges	http://www.sciencedirect.com/science/article/pii/S1566253519307377
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1049-L1060
Continual learning: A comparative study on how to defy forgetting in classification tasks	https://arxiv.org/abs/1909.08383
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L214-L223
Continual lifelong learning with neural networks: A review	http://www.sciencedirect.com/science/article/pii/S0893608019300231
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L226-L237
Three scenarios for continual learning	https://arxiv.org/abs/1904.07734
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L765-L772
Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks	http://www.sciencedirect.com/science/article/pii/S0893608018302120
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L908-L919
	https://github.com/pythonfirst/continual_learning_papers#influentials
Efficient Lifelong Learning with A-GEM	https://arxiv.org/abs/1812.00420
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L151-L158
Towards Robust Evaluations of Continual Learning	https://arxiv.org/abs/1805.09733
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L141-L148
Continual Learning in Practice	https://arxiv.org/abs/1903.05202
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1988-L1995
Overcoming catastrophic forgetting in neural networks	https://www.pnas.org/content/pnas/114/13/3521.full.pdf
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L161-L169
Gradient Episodic Memory for Continual Learning	http://papers.nips.cc/paper/7225-gradient-episodic-memory-for-continual-learning.pdf
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L173-L183
Continual learning with deep generative replay	https://arxiv.org/abs/1705.08690
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L187-L195
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks	https://arxiv.org/abs/1312.6211
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L198-L211
	https://github.com/pythonfirst/continual_learning_papers#new-settings-or-metrics
Wandering Within a World: Online Contextualized Few-Shot Learning	https://arxiv.org/abs/2007.04546
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L31-L39
Defining Benchmarks for Continual Few-Shot Learning	https://arxiv.org/abs/2004.11967
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L73-L80
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning	https://arxiv.org/abs/2003.05856
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1201-L1208
Compositional Language Continual Learning	https://openreview.net/forum?id=rklnDgHtDS
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1242-L1248
	https://github.com/pythonfirst/continual_learning_papers#regularization-methods
Continual Learning with Bayesian Neural Networks for Non-Stationary Data	https://openreview.net/forum?id=SJlsFpVtDB
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L613-L620
Improving and Understanding Variational Continual Learning	https://arxiv.org/abs/1905.02099
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L251-L259
Uncertainty-based Continual Learning with Adaptive Regularization	http://papers.nips.cc/paper/8690-uncertainty-based-continual-learning-with-adaptive-regularization.pdf
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L272-L282
Functional Regularisation for Continual Learning with Gaussian Processes	https://arxiv.org/abs/1901.11356
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1079-L1086
Task Agnostic Continual Learning Using Online Variational Bayes	https://arxiv.org/pdf/1803.10123.pdf
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L285-L294
Overcoming Catastrophic Interference using Conceptor-Aided Backpropagation	https://openreview.net/forum?id=B1al7jg0b
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L341-L348
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence	https://arxiv.org/abs/1801.10112
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L386-L393
Variational Continual Learning	https://arxiv.org/abs/1710.10628
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L417-L424
Progress & compress: A scalable framework for continual learning	https://arxiv.org/abs/1805.06370
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L428-L435
Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients	https://arxiv.org/abs/1904.10644
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1998-L2005
Overcoming catastrophic forgetting in neural networks	https://www.pnas.org/content/pnas/114/13/3521.full.pdf
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L161-L169
Memory Aware Synapses: Learning what (not) to forget	http://arxiv.org/abs/1711.09601
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L399-L412
Continual Learning Through Synaptic Intelligence	http://proceedings.mlr.press/v70/zenke17a.html
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L438-L453
	https://github.com/pythonfirst/continual_learning_papers#distillation-methods
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild	https://arxiv.org/abs/1903.12648
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L775-L783
Large scale incremental learning	https://arxiv.org/abs/1905.13260
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L786-L794
Lifelong learning via progressive distillation and retrospection	https://arxiv.org/abs/1905.13260
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L797-L805
End-to-end incremental learning	https://arxiv.org/abs/1807.09536
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L808-L816
Learning without forgetting	https://arxiv.org/abs/1606.09282
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L456-L464
icarl: Incremental classifier and representation learning	https://arxiv.org/abs/1611.07725
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L819-L827
	https://github.com/pythonfirst/continual_learning_papers#rehearsal-methods
Efficient Lifelong Learning with A-GEM	https://arxiv.org/abs/1812.00420
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L151-L158
Orthogonal Gradient Descent for Continual Learning	https://arxiv.org/abs/1910.07104
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L525-L534
Gradient based sample selection for online continual learning	http://papers.nips.cc/paper/9354-gradient-based-sample-selection-for-online-continual-learning.pdf
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L538-L548
Online Continual Learning with Maximal Interfered Retrieval	http://papers.nips.cc/paper/9357-online-continual-learning-with-maximal-interfered-retrieval.pdf
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L552-L562
Online Learned Continual Compression with Adaptative Quantization Module	https://arxiv.org/abs/1911.08019
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L566-L573
Experience replay for continual learning	https://arxiv.org/abs/1811.11682
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1189-L1197
Gradient Episodic Memory for Continual Learning	http://papers.nips.cc/paper/7225-gradient-episodic-memory-for-continual-learning.pdf
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L173-L183
icarl: Incremental classifier and representation learning	https://arxiv.org/abs/1611.07725
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L819-L827
	https://github.com/pythonfirst/continual_learning_papers#generative-replay-methods
Brain-Like Replay For Continual Learning With Artificial Neural Networks	https://baicsworkshop.github.io/pdf/BAICS_8.pdf
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L121-L127
Learning to remember: A synaptic plasticity driven framework for continual learning	https://openaccess.thecvf.com/content_CVPR_2019/html/Ostapenko_Learning_to_Remember_A_Synaptic_Plasticity_Driven_Framework_for_Continual_CVPR_2019_paper.html
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L11-L19
Generative Models from the perspective of Continual Learning	https://hal.archives-ouvertes.fr/hal-01951954
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L679-L691
Marginal replay vs conditional replay for continual learning	https://arxiv.org/abs/1810.12069
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1134-L1143
Generative replay with feedback connections as a general strategy for continual learning	https://arxiv.org/abs/1809.10635
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L577-L585
Continual learning with deep generative replay	https://arxiv.org/abs/1705.08690
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L187-L195
	https://github.com/pythonfirst/continual_learning_papers#dynamic-architectures-or-routing-methods
ORACLE: Order Robust Adaptive Continual Learning	http://arxiv.org/abs/1902.09432
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L297-L313
Random Path Selection for Incremental Learning	http://arxiv.org/abs/1906.01120
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L318-L335
Incremental Learning through Deep Adaptation	https://openreview.net/forum?id=ryj0790hb
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L479-L485
Continual Learning in Practice	https://arxiv.org/abs/1903.05202
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1988-L1995
Progressive Neural Networks	https://arxiv.org/abs/1606.04671
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L487-L502
	https://github.com/pythonfirst/continual_learning_papers#hybrid-methods
Continual learning with hypernetworks	https://openreview.net/forum?id=SJgwNerKvB
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L723-L730
Compacting, Picking and Growing for Unforgetting Continual Learning	https://arxiv.org/abs/1910.06562
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L240-L248
	https://github.com/pythonfirst/continual_learning_papers#continual-few-shot-learning
Wandering Within a World: Online Contextualized Few-Shot Learning	https://arxiv.org/abs/2007.04546
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L31-L39
Defining Benchmarks for Continual Few-Shot Learning	https://arxiv.org/abs/2004.11967
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L73-L80
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning	https://arxiv.org/abs/2003.05856
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1201-L1208
Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling	https://arxiv.org/abs/1911.04695
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L601-L610
Online Meta-Learning	http://proceedings.mlr.press/v97/finn19a.html
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L623-L638
Reconciling meta-learning and continual learning with online mixtures of tasks	http://papers.nips.cc/paper/9112-reconciling-meta-learning-and-continual-learning-with-online-mixtures-of-tasks.pdf
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L642-L652
Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL	https://openreview.net/forum?id=HyxAfnA5tm
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L657-L664
Task Agnostic Continual Learning via Meta Learning	https://arxiv.org/abs/1906.05201
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L746-L754
	https://github.com/pythonfirst/continual_learning_papers#meta-continual-learning
La-MAML: Look-ahead Meta Learning for Continual Learning	https://arxiv.org/abs/2007.13904
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L22-L28
Learning to Continually Learn	https://arxiv.org/abs/2002.09571
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1159-L1166
Meta-Learning Representations for Continual Learning	http://papers.nips.cc/paper/8458-meta-learning-representations-for-continual-learning.pdf
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L588-L598
Meta-learnt priors slow down catastrophic forgetting in neural networks	https://arxiv.org/pdf/1909.04170.pdf
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1169-L1176
Learning to learn without forgetting by maximizing transfer and minimizing interference	https://arxiv.org/abs/1810.11910
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1180-L1187
	https://github.com/pythonfirst/continual_learning_papers#lifelong-reinforcement-learning
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges	http://www.sciencedirect.com/science/article/pii/S1566253519307377
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1049-L1060
Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL	https://openreview.net/forum?id=HyxAfnA5tm
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L657-L664
Experience replay for continual learning	https://arxiv.org/abs/1811.11682
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1189-L1197
	https://github.com/pythonfirst/continual_learning_papers#continual-generative-modeling
Continual Unsupervised Representation Learning	https://arxiv.org/pdf/1910.14481.pdf
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L667-L676
Generative Models from the perspective of Continual Learning	https://hal.archives-ouvertes.fr/hal-01951954
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L679-L691
Lifelong Generative Modeling	https://arxiv.org/abs/1705.09847
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L694-L701
	https://github.com/pythonfirst/continual_learning_papers#applications
CLOPS: Continual Learning of Physiological Signals	https://arxiv.org/abs/2004.09578
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L110-L117
LAMAL: LAnguage Modeling Is All You Need for Lifelong Language Learning	https://openreview.net/forum?id=Skgxcn4YDS
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1269-L1276
Compositional Language Continual Learning	https://openreview.net/forum?id=rklnDgHtDS
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1242-L1248
Unsupervised real-time anomaly detection for streaming data	https://www.sciencedirect.com/science/article/pii/S0925231217309864
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L83-L93
Continuous online sequence learning with an unsupervised neural network model	https://arxiv.org/abs/1512.05463
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L96-L107
	https://github.com/pythonfirst/continual_learning_papers#thesis
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes	https://arxiv.org/abs/2007.00487
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L43-L52
Continual Learning with Deep Architectures	http://amsdottorato.unibo.it/9073/1/vincenzo_lomonaco_thesis.pdf
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1417-L1423
Continual Learning in Neural Networks	https://arxiv.org/abs/1910.02718
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1848-L1855
Continual learning in reinforcement environments	https://www.cs.utexas.edu/~ring/Ring-dissertation.pdf
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L1485-L1492
	https://github.com/pythonfirst/continual_learning_papers#workshops
Workshop on Continual Learning at ICML 2020	https://sites.google.com/view/cl-icml/organizers?authuser=0
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L54-L61
4th Lifelong Machine Learning Workshop at ICML 2020	https://openreview.net/group?id=ICML.cc/2020/Workshop/LifelongML#accept
[bib]	https://github.com/pythonfirst/continual_learning_papers/blob/master/bibtex.bib#L64-L71
Readme	https://github.com/pythonfirst/continual_learning_papers#readme-ov-file
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