REMIND Your Neural Network to Prevent Catastrophic Forgetting
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[1] Tyler L. Hayes,et al. Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[2] Tinne Tuytelaars,et al. Online Continual Learning with Maximally Interfered Retrieval , 2019, ArXiv.
[3] Scott Cohen,et al. Answering Questions about Data Visualizations using Efficient Bimodal Fusion , 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).
[4] Dahua Lin,et al. Learning a Unified Classifier Incrementally via Rebalancing , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Yandong Guo,et al. Large Scale Incremental Learning , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Christopher Kanan,et al. Challenges and Prospects in Vision and Language Research , 2019, Front. Artif. Intell..
[7] O. Ostapenko,et al. Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Christopher Kanan,et al. VQD: Visual Query Detection In Natural Scenes , 2019, NAACL.
[9] Kibok Lee,et al. Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[10] Yoshua Bengio,et al. Gradient based sample selection for online continual learning , 2019, NeurIPS.
[11] Christopher Kanan,et al. Answer Them All! Toward Universal Visual Question Answering Models , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Tinne Tuytelaars,et al. Task-Free Continual Learning , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Rama Chellappa,et al. Learning Without Memorizing , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Tomasz Kornuta,et al. On transfer learning using a MAC model variant , 2018, ArXiv.
[15] Marc'Aurelio Ranzato,et al. Efficient Lifelong Learning with A-GEM , 2018, ICLR.
[16] G. Tesauro,et al. Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference , 2018, ICLR.
[17] Nathan D. Cahill,et al. Memory Efficient Experience Replay for Streaming Learning , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[18] Dahua Lin,et al. Lifelong Learning via Progressive Distillation and Retrospection , 2018, ECCV.
[19] Bogdan Raducanu,et al. Memory Replay GANs: learning to generate images from new categories without forgetting , 2018, NeurIPS.
[20] Adrian Popescu,et al. DeeSIL: Deep-Shallow Incremental Learning , 2018, ECCV Workshops.
[21] Cordelia Schmid,et al. End-to-End Incremental Learning , 2018, ECCV.
[22] Faisal Shafait,et al. Revisiting Distillation and Incremental Classifier Learning , 2018, ACCV.
[23] Ioannis Mitliagkas,et al. Manifold Mixup: Better Representations by Interpolating Hidden States , 2018, ICML.
[24] Nathan D. Cahill,et al. New Metrics and Experimental Paradigms for Continual Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[25] Stefan Wermter,et al. Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization , 2018, Front. Neurorobot..
[26] Yarin Gal,et al. Towards Robust Evaluations of Continual Learning , 2018, ArXiv.
[27] Byoung-Tak Zhang,et al. Bilinear Attention Networks , 2018, NeurIPS.
[28] David Barber,et al. Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting , 2018, NeurIPS.
[29] Stefan Wermter,et al. Continual Lifelong Learning with Neural Networks: A Review , 2018, Neural Networks.
[30] Christopher D. Manning,et al. Compositional Attention Networks for Machine Reasoning , 2018, ICLR.
[31] Christopher Joseph Pal,et al. Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning , 2018, ICLR.
[32] Philip H. S. Torr,et al. Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence , 2018, ECCV.
[33] Brian L. Price,et al. DVQA: Understanding Data Visualizations via Question Answering , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[34] Alexandros Karatzoglou,et al. Overcoming catastrophic forgetting with hard attention to the task , 2018, ICML.
[35] Martial Hebert,et al. Learning by Asking Questions , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[36] Ronald Kemker,et al. FearNet: Brain-Inspired Model for Incremental Learning , 2017, ICLR.
[37] Marcus Rohrbach,et al. Memory Aware Synapses: Learning what (not) to forget , 2017, ECCV.
[38] Anton van den Hengel,et al. Visual Question Answering as a Meta Learning Task , 2017, ECCV.
[39] Giuseppe Di Fatta,et al. On expressiveness and uncertainty awareness in rule-based classification for data streams , 2017, Neurocomputing.
[40] Richard E. Turner,et al. Variational Continual Learning , 2017, ICLR.
[41] Samira Ebrahimi Kahou,et al. FigureQA: An Annotated Figure Dataset for Visual Reasoning , 2017, ICLR.
[42] Ronald Kemker,et al. Measuring Catastrophic Forgetting in Neural Networks , 2017, AAAI.
[43] Sung Ju Hwang,et al. Lifelong Learning with Dynamically Expandable Networks , 2017, ICLR.
[44] David J. Foster. Replay Comes of Age. , 2017, Annual review of neuroscience.
[45] Lei Zhang,et al. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[46] Marc'Aurelio Ranzato,et al. Gradient Episodic Memory for Continual Learning , 2017, NIPS.
[47] Matthieu Cord,et al. MUTAN: Multimodal Tucker Fusion for Visual Question Answering , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[48] Davide Maltoni,et al. CORe50: a New Dataset and Benchmark for Continuous Object Recognition , 2017, CoRL.
[49] Vahid Kazemi,et al. Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering , 2017, ArXiv.
[50] Christopher Kanan,et al. An Analysis of Visual Question Answering Algorithms , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[51] Surya Ganguli,et al. Continual Learning Through Synaptic Intelligence , 2017, ICML.
[52] Jeff Johnson,et al. Billion-Scale Similarity Search with GPUs , 2017, IEEE Transactions on Big Data.
[53] Chrisantha Fernando,et al. PathNet: Evolution Channels Gradient Descent in Super Neural Networks , 2017, ArXiv.
[54] Li Fei-Fei,et al. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[55] Andrei A. Rusu,et al. Overcoming catastrophic forgetting in neural networks , 2016, Proceedings of the National Academy of Sciences.
[56] Christoph H. Lampert,et al. iCaRL: Incremental Classifier and Representation Learning , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[57] Christopher Kanan,et al. Visual question answering: Datasets, algorithms, and future challenges , 2016, Comput. Vis. Image Underst..
[58] Christopher Kanan,et al. Answer-Type Prediction for Visual Question Answering , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[59] Razvan Pascanu,et al. Progressive Neural Networks , 2016, ArXiv.
[60] Dong Huk Park,et al. Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding , 2016, EMNLP.
[61] R. Bernardi,et al. Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures , 2016, J. Artif. Intell. Res..
[62] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[63] Trevor Darrell,et al. Grounding of Textual Phrases in Images by Reconstruction , 2015, ECCV.
[64] Dan Klein,et al. Neural Module Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[65] Alexander J. Smola,et al. Stacked Attention Networks for Image Question Answering , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[66] Susumu Takahashi. Episodic-like memory trace in awake replay of hippocampal place cell activity sequences , 2015, eLife.
[67] Svetlana Lazebnik,et al. Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models , 2015, International Journal of Computer Vision.
[68] Margaret Mitchell,et al. VQA: Visual Question Answering , 2015, International Journal of Computer Vision.
[69] Yoshua Bengio,et al. How transferable are features in deep neural networks? , 2014, NIPS.
[70] Vicente Ordonez,et al. ReferItGame: Referring to Objects in Photographs of Natural Scenes , 2014, EMNLP.
[71] Mario Fritz,et al. A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input , 2014, NIPS.
[72] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[73] Donald A. Wilson,et al. Slow-Wave Sleep-Imposed Replay Modulates Both Strength and Precision of Memory , 2014, The Journal of Neuroscience.
[74] João Gama,et al. On evaluating stream learning algorithms , 2012, Machine Learning.
[75] P. Lewis,et al. Overlapping memory replay during sleep builds cognitive schemata , 2011, Trends in Cognitive Sciences.
[76] J. O’Neill,et al. Play it again: reactivation of waking experience and memory , 2010, Trends in Neurosciences.
[77] Jesús S. Aguilar-Ruiz,et al. Knowledge discovery from data streams , 2009, Intell. Data Anal..
[78] Jason Weston,et al. Curriculum learning , 2009, ICML '09.
[79] Mattias P. Karlsson,et al. Awake replay of remote experiences in the hippocampus , 2009, Nature Neuroscience.
[80] David E. Warren,et al. Hippocampal Amnesia Impairs All Manner of Relational Memory , 2008, Frontiers in human neuroscience.
[81] J. W. Rudy,et al. The hippocampal indexing theory and episodic memory: Updating the index , 2007, Hippocampus.
[82] W. Abraham,et al. Memory retention – the synaptic stability versus plasticity dilemma , 2005, Trends in Neurosciences.
[83] R. Stickgold,et al. Sleep, Learning, and Dreams: Off-line Memory Reprocessing , 2001, Science.
[84] E. Gould,et al. Learning enhances adult neurogenesis in the hippocampal formation , 1999, Nature Neuroscience.
[85] James L. McClelland,et al. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. , 1995, Psychological review.
[86] Ricardo Insausti,et al. The Nonhuman Primate Hippocampus: Neuroanatomy and Patterns of Cortical Connectivity , 2017 .
[87] Cordelia Schmid,et al. Product Quantization for Nearest Neighbor Search , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[88] M. Wilson,et al. Coordinated memory replay in the visual cortex and hippocampus during sleep , 2007, Nature Neuroscience.
[89] James L. McClelland,et al. Considerations arising from a complementary learning systems perspective on hippocampus and neocortex , 1996, Hippocampus.
[90] Michael McCloskey,et al. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem , 1989 .