Transfer Learning and Domain Adaptation |

Instructor


Kevin McGuinness (KM)

(to be added)

Hoffman, J., Guadarrama, S., Tzeng, E. S., Hu, R., Donahue, J., Girshick, R., … & Saenko, K. (2014). LSDA: Large scale detection through adaptation. NIPS 2014. (Slides by Xavier Giró-i-Nieto)
Yosinski, Jason, Jeff Clune, Yoshua Bengio, and Hod Lipson. “How transferable are features in deep neural networks?.” In Advances in Neural Information Processing Systems, pp. 3320-3328. 2014.
Shao, Ling, Fan Zhu, and Xuelong Li. “Transfer learning for visual categorization: A survey.” Neural Networks and Learning Systems, IEEE Transactions on 26, no. 5 (2015): 1019-1034.
Chen, Tianqi, Ian Goodfellow, and Jonathon Shlens. “Net2Net: Accelerating Learning via Knowledge Transfer.” ICLR 2016. [code] [Notes by Hugo Larrochelle
Gani, Yaroslav, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky. “Domain-Adversarial Training of Neural Networks.” arXiv preprint arXiv:1505.07818 (2015).

Salvador, Amaia, Matthias Zeppelzauer, Daniel Manchon-Vizuete, Andrea Calafell, and Xavier Giro-i-Nieto. “Cultural event recognition with visual convnets and temporal models.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 36-44. 2015.
Campos, V., Salvador, A., Giro-i-Nieto, X., & Jou, B. (2015, October). Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction. In Proceedings of the 1st International Workshop on Affect & Sentiment in Multimedia (pp. 57-62). ACM.*