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Translated Learning: Bridging Different Feature Spaces

Explore Translated Learning applications like Cross-language Classification and Text-aided Image Classification. Discover how feature-level translation simplifies machine translation challenges. Dive into related works, human learning examples, and advanced translation models for effective learning strategies and experimental results. Future work includes expanding applications and integrating text classification with translator estimation.

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Translated Learning: Bridging Different Feature Spaces

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  1. Translated Learning Wenyuan Dai, Yuqiang Chen, Gui-Rong Xue, Qiang Yang, and Yong Yu. Translated Learning. In Proceedings of Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), December 8, 2008, Vancouver, British Columbia, Canada.

  2. Definition • Translated Learning • Learning across Different Feature Spaces

  3. Applications • Cross-language Classification • Rigutini et al., WI2005; Ling et al., WWW2008; … • Text-aided Image Classification • We submitted two papers to AAAI2008 & ICML2008 respectively. • Future work • Text to Music • Text to Video • Image to Video • …

  4. Related Work • Cross-language Classification • Rigutini et al., WI2005 • English to Italian • Ling et al., WWW2008 • English to Chinese • Most cross-language classification approaches relies on machine translation. • Ad hoc • Machine translation is difficult in most scenarios. • E.g. text-to-picture translation

  5. Basic Idea • Instance-level machine translation relies on understanding instances, at least basically. • Machine translation in NLP is an easy special case, since it is based on sentence understanding. • Classification models are usually on the feature-level. • Translating classification models is also on the feature-level. • could be much easier than instance-level translation

  6. Human Learning Example • Task: tyrannosaurus vs stegosaurus • htyrannosaurus: bipedal carnivore with a massive skull balanced by long, heavy tail. Its forelimbs were small and retained only two digits. • stegosaurus: quadruped ornithischian dinosaur of four long bony spikes on a flexible tail and two rows of upright triangular bony plates running along the back.

  7. Model-level Translation Elephants are big mammals on earth... Learning Learning Input Input Output Output massive hoofed mammal of Africa... translating learning models

  8. Naive Bayesian Approach • Incorporating translator difficult to estimate

  9. Risk Minimization Approach • Loss function

  10. Inference • Assume there is no prior difference among all the classes

  11. Model Estimation • KL-divergence • Negative of cosine • Negative of PCC

  12. Experimental Results

  13. Experimental Results

  14. Outline • Introduction • Related Work • Our Research • Future Work

  15. Future Work • More applications • Cross-language classification • Using dictionaries as translators • Text to music, video, … • Image to video • Improving translator estimation • Integrating text classification and translator estimation into one optimization model

  16. Questions

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