No Fuss Distance Metric Learning using Proxies

Learning a distance metric from relative comparisons

M. Schultz and T. Joachims · 2003

Earlier work this paper cites.

Neighbourhood component analysis

S. Roweis, G. Hinton, and R. Salakhutdinov · 2004

Earlier work this paper cites.

Learning a similarity metric discriminatively, with application to face verification

S. Chopra, R. Hadsell, and Y. LeCun · 2005

Earlier work this paper cites.

Dimensionality reduction by learning an invariant mapping

R. Hadsell, S. Chopra, and Y. LeCun · 2006

Earlier work this paper cites.

Distance metric learning for large margin nearest neighbor classification

K. Q. Weinberger, J. Blitzer, and L. Saul · 2006

Earlier work this paper cites.

Introduction to information retrieval

C. D. Manning, P. Raghavan, H. Schütze, et al · 2008

Earlier work this paper cites.

The caltech-ucsd birds-200-2011 dataset

C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie · 2011

Earlier work this paper cites.

3d object representations for fine-grained categorization

J. Krause, M. Stark, J. Deng, and L. Fei-Fei · 2013

Cited alongside, same era.

Going deeper with convolutions

C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. E. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2014

Cited alongside, same era.

Batch normalization: Accelerating deep network training by reducing internal covariate shift

S. Ioffe and C. Szegedy · 2015

Cited alongside, same era.

Metric learning with adaptive density discrimination

Original

O. Rippel, M. Paluri, P. Dollar, and L. Bourdev · 2015

Cited alongside, same era.

Imagenet large scale visual recognition challenge

O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al · 2015

Cited alongside, same era.

Facenet: A unified embedding for face recognition and clustering

Tensorflow: Large-scale machine learning on heterogeneous distributed systems

Original

M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, et al · 2016

Later among the works it cites.

Deep clustering: Discriminative embeddings for segmentation and separation

J. R. Hershey, Z. Chen, J. Le Roux, and S. Watanabe · 2016

Later among the works it cites.

Deep metric learning via lifted structured feature embedding

H. Oh Song, Y. Xiang, S. Jegelka, and S. Savarese · 2016

Later among the works it cites.

Improved deep metric learning with multi-class n-pair loss objective

K. Sohn · 2016

Later among the works it cites.

Improving the robustness of deep neural networks via stability training

Original

S. Zheng, Y. Song, T. Leung, and I. Goodfellow · 2016

Later among the works it cites.