TL和DL结合论文整理（不断更新中）

来源：互联网发布：文本编辑 mac 编辑：程序博客网时间：2024/05/01 08:50

1，Mesnil G, Rifai S, Bordes A, et al. Unsupervised Learning of Semantics of Object

Detections for Scene Categorization[M]//Pattern Recognition Applications and

Methods. Springer International Publishing, 2015: 209-224.

应用领域：场景识别

Keywords Unsupervised learning · Transfer learning · Deep learning · Scene categorization · Object detection

2，Wang N, Li S, Gupta A, et al. Transferring Rich Feature Hierarchies for Robust

Visual Tracking[J]. arXiv preprint arXiv:1501.04587, 2015.

应用领域：visual tracking

CNN+TL

3，Srivastava N, Salakhutdinov R R. Multimodal learning with deep boltzmann

machines[C]//Advances in neural information processing systems. 2012: 2222-2230.

实验室网站（有code）

http://www.cs.toronto.edu/~rsalakhu/publications.html

4，Analysis using Progressively Trained and Domain Transferred Deep

Networks[C]//The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI).

2015.，You Q, Luo J, Jin H, et al. Robust Image Sentiment Ana

5，Oquab M, Bottou L, Laptev I, et al. Learning and transferring mid-level image

representations using convolutional neural networks[C]//Computer Vision and Pattern

Recognition (CVPR), 2014 IEEE Conference on. IEEE, 2014: 1717-1724.

6，Glorot X, Bordes A, Bengio Y. Domain adaptation for large-scale sentiment

classification: A deep learning approach[C]//Proceedings of the 28th International

Conference on Machine Learning (ICML-11). 2011: 513-520.

7，Chopra S, Balakrishnan S, Gopalan R. Dlid: Deep learning for domain adaptation

by interpolating between domains[C]//ICML workshop on challenges in representation

learning. 2013, 2: 5.

8，Bengio Y. Deep learning of representations for unsupervised and transfer

learning[J]. Unsupervised and Transfer Learning Challenges in Machine Learning,

Volume 7, 2012: 19.

补充。。。。

0 0