Rethinking Feature Distribution for Loss Functions in Image
Classification

Rethinking Feature Distribution for Loss Functions in Image Classification

8 March 2018

Papers citing "Rethinking Feature Distribution for Loss Functions in Image Classification"

11 / 61 papers shown

Title
Large Margin Softmax Loss for Speaker Verification Yi Y. Liu Liang He Jia-Wei Liu 35 145 0 06 Apr 2019
Dense Classification and Implanting for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard Andrei Bursuc VLM 19 197 0 12 Mar 2019
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions Zhilin Zheng Li Sun CML CoGe DRL 18 46 0 22 Dec 2018
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss Kian Kenyon-Dean Andre Cianflone Lucas Caccia Guillaume Rabusseau Jackie C.K. Cheung Doina Precup 24 12 0 18 Dec 2018
FineFool: Fine Object Contour Attack via Attention Jinyin Chen Haibin Zheng Hui Xiong Mengmeng Su AAML 33 3 0 01 Dec 2018
Modeling Uncertainty with Hedged Instance Embedding Seong Joon Oh Kevin Patrick Murphy Jiyan Pan Joseph Roth Florian Schroff Andrew C. Gallagher UQCV 368 69 0 30 Sep 2018
Manifold Adversarial Learning Shufei Zhang Kaizhu Huang Jianke Zhu Yang Liu OOD AAML 29 5 0 16 Jul 2018
End-to-End Residual CNN with L-GM Loss Speaker Verification System Xuan Shi Xingjian Du Mengyao Zhu 17 5 0 02 May 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 356 3,121 0 04 Nov 2016
Deeply learned face representations are sparse, selective, and robust Yi Sun Xiaogang Wang Xiaoou Tang CVBM 254 921 0 03 Dec 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 270 7,646 0 03 Jul 2012