Auxiliary Information Regularized Machine for Multiple Modality Feature Learning

By Yang Yang, Han-Jia Ye, De-chuan Zhan, Yuan Jiang. 2015

33 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Da-Wei Zhou
2. Han-Jia Ye
3. De-chuan Zhan
4. Yuan Jiang
5. Zhi-Hua Zhou
6. Yu Huang
7. Qiwen Wang
8. Hang Zhao

Citations in the corpus

• Co-Transport for Class-Incremental Learning (2021, background): “CIL for multimedia: It is common to observe the emergence of new classes in real-world applications [26, 32, 44, 52, 53, 55, 58, 65– 67].”
• What Makes Multimodal Learning Better than Single (Provably) (2021, background): “It may not hold in multi-modal applications [47], e.”
• Rectify Heterogeneous Models with Semantic Mapping (2018, background): “(Hinton et al., 2015; Yang et al., 2015; 2017) transfer the discriminative ability from a related homogeneous strong model to a weak one.”