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image_embedding:reading [2019/04/25 04:19] yangimage_embedding:reading [2019/10/28 02:08] (current) yang
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 +=====Reading List===== 
 ----------------------- -----------------------
 ===Hierarchical image embedding=== ===Hierarchical image embedding===
   * Barz, Björn, and Joachim Denzler. "[[https://arxiv.org/pdf/1809.09924.pdf | Hierarchy-based image embeddings for semantic image retrieval.]]" In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 638-647. IEEE, 2019.   * Barz, Björn, and Joachim Denzler. "[[https://arxiv.org/pdf/1809.09924.pdf | Hierarchy-based image embeddings for semantic image retrieval.]]" In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 638-647. IEEE, 2019.
   * Verma, Nakul, Dhruv Mahajan, Sundararajan Sellamanickam, and Vinod Nair. "[[http://www.cs.toronto.edu/~vnair/cvpr12.pdf | Learning hierarchical similarity metrics.]]" In 2012 IEEE conference on computer vision and pattern recognition, pp. 2280-2287. IEEE, 2012.     * Verma, Nakul, Dhruv Mahajan, Sundararajan Sellamanickam, and Vinod Nair. "[[http://www.cs.toronto.edu/~vnair/cvpr12.pdf | Learning hierarchical similarity metrics.]]" In 2012 IEEE conference on computer vision and pattern recognition, pp. 2280-2287. IEEE, 2012.  
 +  * Tianshui Chen et al. [[https://arxiv.org/pdf/1808.04505.pdf | Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding]]
  
-===Other image embedding methods===+===Other image embedding works===
   * Oh Song, Hyun, Yu Xiang, Stefanie Jegelka, and Silvio Savarese. "[[https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Song_Deep_Metric_Learning_CVPR_2016_paper.pdf | Deep metric learning via lifted structured feature embedding.]]" In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4004-4012. 2016.      * Oh Song, Hyun, Yu Xiang, Stefanie Jegelka, and Silvio Savarese. "[[https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Song_Deep_Metric_Learning_CVPR_2016_paper.pdf | Deep metric learning via lifted structured feature embedding.]]" In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4004-4012. 2016.   
 +  * Nagarajan, Tushar, and Kristen Grauman. "[[http://www.cs.utexas.edu/~grauman/papers/attributes-operators-eccv2018.pdf | Attributes as operators: factorizing unseen attribute-object compositions.]]" In Proceedings of the European Conference on Computer Vision (ECCV), pp. 169-185. 2018.
  
-===Theory-related papers=== +===Text embedding=== 
-  * +  * Dyer, Chris. "[[https://arxiv.org/pdf/1410.8251.pdf | Notes on noise contrastive estimation and negative sampling.]]" arXiv preprint arXiv:1410.8251 (2014).  //Critiques on negative sampling// 
 +  * Goldberg, Yoav, and Omer Levy. "[[https://arxiv.org/pdf/1402.3722.pdf | word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method.]]" arXiv preprint arXiv:1402.3722 (2014). //Justification for word2vec and negative sampling// 
 +  * Mnih, Andriy, and Yee Whye Teh. "[[https://arxiv.org/pdf/1206.6426.pdf | A fast and simple algorithm for training neural probabilistic language models.]]" arXiv preprint arXiv:1206.6426 (2012).  //on Noise contrastive estimation (NCE)//
  
 ===Hierarchical clustering=== ===Hierarchical clustering===
   * Dasgupta, Sanjoy. "[[https://arxiv.org/pdf/1510.05043.pdf | A cost function for similarity-based hierarchical clustering]]." arXiv preprint arXiv:1510.05043 (2015).    * Dasgupta, Sanjoy. "[[https://arxiv.org/pdf/1510.05043.pdf | A cost function for similarity-based hierarchical clustering]]." arXiv preprint arXiv:1510.05043 (2015). 
 +  * Heller, Katherine A., and Zoubin Ghahramani. "[[http://mlg.eng.cam.ac.uk/zoubin/papers/icml05heller.pdf | Bayesian hierarchical clustering.]]" In Proceedings of the 22nd international conference on Machine learning, pp. 297-304. ACM, 2005.
image_embedding/reading.1556180349.txt.gz · Last modified: 2019/04/25 04:19 by yang