Challenges in Representation Learning: A Report on Three Machine Learning Contests
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- Authors
- Goodfellow, I. J., Erhan, D., Carrier, P. L., Courville, A., Mirza, M., Hamner, B., Cukierski, W., Tang, Y., Thaler, D., Lee, D.-H., Zhou, Y., Ramaiah, C., Feng, F., Li, R., Wang, X., Athanasakis, D., Shawe-Taylor, J., Milakov, M., Park, J., Ionescu, R., Popescu, M., Grozea, C., Bergstra, J., Xie, J., Romaszko, L., Xu, B., Chuang, Z., & Bengio, Y.
- Affiliations
- Université de Montréal (CA)
- Google (United States) (US)
- ORCID
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2013
- Pages
- 117-124
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2041616772
- Cited by
- 1,719
- References
- 3
- Citations by year
- 2026: 137 · 2025: 190 · 2024: 238 · 2023: 271 · 2022: 221 · 2021: 213 · 2020: 180 · 2019: 120 · 2018: 62 · 2017: 46 · 2016: 24 · 2015: 12 · 2014: 3 · 2013: 1
- FWCI
- 8.61
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (submittedVersion)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Data Classification
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Algorithms
- Keywords
- representation learning, facial expression recognition, multimodal learning, benchmark dataset, competition results
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