Jul 3, 2017 · We demonstrate that dual supervised learning can improve the practical performances of both tasks, for various applications including machine translation, ...
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Many supervised learning tasks are emerged in dual forms, e.g., English-to-French translation vs. French-to-English translation, speech recog-.
Aug 10, 2019 · Dual learning is a new learning framework that leverages the primal-dual structure of AI tasks to obtain effective feedback or regularization ...
It is demonstrated that dual supervised learning can improve the practical performances of both tasks, for various applications including machine ...
Many supervised learning tasks are emerged in dual forms, e.g., English-to-French translation vs. French-to-English translation, speech recognition vs. text ...
Jul 3, 2017 · Many supervised learning tasks are emerged in dual forms, e.g., English-to-French translation vs. French-to-English translation, ...
This paper proposes a novel learning framework for natural language understanding and generation on top of dual supervised learning, providing a way to exploit ...
May 24, 2019 · "Dual Inference for Machine Learning" and “Dual Supervised Learning” #34 · Comments · Footer. © 2024 GitHub, ...
We propose a new learning paradigm, dual learning, which leverages the primal-dual structure of AI tasks to obtain effective feedback or regularization signals.
Conclusions. (a) Within a relatively large interval of λ = 0, DSL outperforms standard supervised learning. (b) Learning curves fluctuate with large ...