Yang's research group wiki

Barz, Björn, and Joachim Denzler. “ 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. “ Learning hierarchical similarity metrics.” In 2012 IEEE conference on computer vision and pattern recognition, pp. 2280-2287. IEEE, 2012.

Tianshui Chen et al. Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding

Oh Song, Hyun, Yu Xiang, Stefanie Jegelka, and Silvio Savarese. “ 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. “ Attributes as operators: factorizing unseen attribute-object compositions.” In Proceedings of the European Conference on Computer Vision (ECCV), pp. 169-185. 2018.

Dyer, Chris. “ Notes on noise contrastive estimation and negative sampling.” arXiv preprint arXiv:1410.8251 (2014). Critiques on negative sampling

Goldberg, Yoav, and Omer Levy. “ 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. “ A fast and simple algorithm for training neural probabilistic language models.” arXiv preprint arXiv:1206.6426 (2012). on Noise contrastive estimation (NCE)

Dasgupta, Sanjoy. “ A cost function for similarity-based hierarchical clustering.” arXiv preprint arXiv:1510.05043 (2015).

Heller, Katherine A., and Zoubin Ghahramani. “ Bayesian hierarchical clustering.” In Proceedings of the 22nd international conference on Machine learning, pp. 297-304. ACM, 2005.