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Transfer learning is an emerging and popular paradigm for utilizing existing knowledge from previous learning tasks to improve the performance of new ones.
Iterated integrals and exponential homomorphism
Chen, K.-T. (1954) · 1954
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Integration of paths, geometric invariants and a generalized baker-hausdorff formula
Chen, K.-T. (1957) · 1957
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Integration of paths–a faithful representation of paths by noncommutative formal power series
Chen, K.-T. (1958) · 1958
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Minimax lower bounds for transfer learning with linear and one-hidden layer neural networks
Mousavi Kalan, M., Fabian, Z., Avestimehr, S., and Soltanolkotabi, M. (2020) · 1969
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Transportation cost for gaussian and other product measures
Talagrand, M. (1996) · 1996
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Learning a functional control for high-frequency finance
Leal, L., Laurière, M., and Lehalle, C.-A. (2020) · 2006
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A heterogeneous label propagation algorithm for disease gene discovery
Hwang, T. and Kuang, R. (2010) · 2010
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A survey on transfer learning
Pan, S. J. and Yang, Q. (2010) · 2010
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Transfer learning in collaborative filtering for sparsity reduction
Pan, W., Xiang, E., Liu, N., and Yang, Q. (2010) · 2010
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Transfer learning for activity recognition: A survey
Cook, D., Feuz, K. D., and Krishnan, N. C. (2013) · 2013
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Stratified transfer learning for cross-domain activity recognition
Wang, J., Chen, Y., Hu, L., Peng, X., and Philip, S. Y. (2018) · 2013
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The signature of a rough path: uniqueness
Boedihardjo, H., Geng, X., Lyons, T., and Yang, D. (2016) · 2016
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Domain-adversarial training of neural networks
Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M., and Lempitsky, V. (2016) · 2016
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A survey on deep transfer learning
Tan, C., Sun, F., Kong, T., Zhang, W., Yang, C., and Liu, C. (2018) · 2018
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Deep visual domain adaptation: A survey
Wang, M. and Deng, W. (2018) · 2018
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Natural language based financial forecasting: a survey
Xing, F. Z., Cambria, E., and Welsch, R. E. (2018) · 2018
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An equity fund recommendation system by combing transfer learning and the utility function of the prospect theory
Zhang, L., Zhang, H., and Hao, S. (2018) · 2018
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Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer
Cen, Z. and Wang, J. (2019) · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2019) · 2019
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Improving financial trading decisions using deep q-learning: Predicting the number of shares, action strategies, and transfer learning
On the theory of transfer learning: The importance of task diversity
Tripuraneni, N., Jordan, M., and Jin, C. (2020) · 2020
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A comprehensive survey on transfer learning
Zhuang, F., Qi, Z., Duan, K., Xi, D., Zhu, Y., Zhu, H., Xiong, H., and He, Q. (2020) · 2020
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Finbert: A pre-trained financial language representation model for financial text mining
Liu, Z., Huang, D., Huang, K., Li, Z., and Zhao, J. (2021) · 2021
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Deep calibration of the quadratic rough heston model
Rosenbaum, M. and Zhang, J. (2021) · 2021
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LogME: Practical assessment of pre-trained models for transfer learning
You, K., Liu, Y., Wang, J., and Long, M. (2021) · 2021
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Jeong, G. and Kim, H. Y. (2019) · 2019
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Deep signature transforms
Kidger, P., Bonnier, P., Perez Arribas, I., Salvi, C., and Lyons, T. (2019) · 2019
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Deep-learning domain adaptation techniques for credit cards fraud detection
Lebichot, B., Le Borgne, Y.-A., He-Guelton, L., Oblé, F., and Bontempi, G. (2020) · 2019
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A survey of sentiment analysis based on transfer learning
Liu, R., Shi, Y., Ji, C., and Jia, M. (2019) · 2019
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A novel approach to short-term stock price movement prediction using transfer learning
Nguyen, T.-T. and Yoon, S. (2019) · 2019
Cited alongside, same era.
Transfer learning in natural language processing
Ruder, S., Peters, M. E., Swayamdipta, S., and Wolf, T. (2019) · 2019
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Universal features of price formation in financial markets: perspectives from deep learning
Sirignano, J. and Cont, R. (2019) · 2019
Cited alongside, same era.
Galanti, T., György, A., and Hutter, M. (2022) · 2022
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Frustratingly easy transferability estimation
Huang, L.-K., Huang, J., Rong, Y., Yang, Q., and Wei, Y. (2022) · 2022
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Transfer learning for medical image classification: A literature review
Kim, H. E., Cosa-Linan, A., Santhanam, N., Jannesari, M., Maros, M. E., and Ganslandt, T. (2022) · 2022
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Generalization bounds for deep transfer learning using majority predictor accuracy
Nguyen, C. N., Ho, L. S. T., Dinh, V., Hassner, T., and Nguyen, C. V. (2022) · 2022
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Wang, G., Kikuchi, Y., Yi, J., Zou, Q., Zhou, R., and Guo, X. (2022) · 2022
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Jointly modeling transfer learning of industrial chain information and deep learning for stock prediction
Wu, D., Wang, X., and Wu, S. (2022) · 2022
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Feasibility and transferability of transfer learning: A mathematical framework
Cao, H., Gu, H., Guo, X., and Rosenbaum, M. (2023) · 2023
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Bandits for algorithmic trading with signals
Cartea, Á., Drissi, F., and Osselin, P. (2023) · 2023
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