Funder
National Natural Science Foundation of China
Natural Science Foundation of Beijing
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference82 articles.
1. Akata, Z., Perronnin, F., Harchaoui, Z., & Schmid, C. (2013). Label-embedding for attribute-based classification. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 819–826).
2. Akata, Z., Perronnin, F., Harchaoui, Z., & Schmid, C. (2015a). Label-embedding for image classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(7), 1425–1438.
3. Akata, Z., Reed, S., Walter, D., Lee, H., & Schiele, B. (2015b). Evaluation of output embeddings for fine-grained image classification. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 2927–2936).
4. Alemi, A. A., Fischer, I., Dillon, J. V., & Murphy, K. (2016). Deep variational information bottleneck. arXiv:1612.00410
5. Arjovsky, M., Chintala, S., & Bottou, L. (2017). Wasserstein generative adversarial networks. In International conference on machine learning (pp. 214–223).
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