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We introduce Progressive Prompts - a simple and efficient approach for continual learning in language models.
Catastrophic interference in connectionist networks: The sequential learning problem
Michael McCloskey and Neal J Cohen · 1989
Earlier work this paper cites.
Connectionist models of recognition memory: constraints imposed by learning and forgetting functions
Roger Ratcliff · 1990
Earlier work this paper cites.
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Andrew Maas, Raymond E Daly, Peter T Pham, Dan Huang, Andrew Y Ng, and Christopher Potts · 2011
Earlier work this paper cites.
Adam: A method for stochastic optimization
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Character-level convolutional networks for text classification
Xiang Zhang, Junbo Zhao, and Yann LeCun · 2015
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Andrei A Rusu, Neil C Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, and Raia Hadsell · 2016
Earlier work this paper cites.
Overcoming catastrophic forgetting in neural networks
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Earlier work this paper cites.
Learning without forgetting
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Compacter: Efficient low-rank hypercomplex adapter layers
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The power of scale for parameter-efficient prompt tuning
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Prefix-tuning: Optimizing continuous prompts for generation
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P-tuning v2: Prompt tuning can be comparable to fine-tuning universally across scales and tasks
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Improving language models fine-tuning with representation consistency targets
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