Reading List
Hierarchical image embedding
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
Other image embedding works
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.
Text embedding
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)
Hierarchical clustering
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.