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