Mixing between the Cross Entropy and the Expectation Loss Terms

Mixing between the Cross Entropy and the Expectation Loss Terms

12 September 2021

Lior Wolf

Papers citing "Mixing between the Cross Entropy and the Expectation Loss Terms"

19 / 19 papers shown

Title
Complement Objective Training Hao-Yun Chen Pei-Hsin Wang Chun-Hao Liu Shih-Chieh Chang Jia Pan Yutian Chen Wei Wei Da-Cheng Juan AAML 39 48 0 04 Mar 2019
Taming the Cross Entropy Loss Manuel Martínez Rainer Stiefelhagen NoLa 43 47 0 11 Oct 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 174 4,983 0 30 Jul 2018
Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network (RNN) Abien Fred Agarap 30 42 0 08 May 2018
Imbalanced Deep Learning by Minority Class Incremental Rectification Qi Dong S. Gong Xiatian Zhu 42 329 0 28 Apr 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 1.1K 7,154 0 20 Apr 2018
Random Erasing Data Augmentation Zhun Zhong Liang Zheng Guoliang Kang Shaozi Li Yi Yang 90 3,634 0 16 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 301 12,063 0 19 Jun 2017
Self-Normalizing Neural Networks Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter 452 2,511 0 08 Jun 2017
Stochastic Gradient Descent as Approximate Bayesian Inference Stephan Mandt Matthew D. Hoffman David M. Blei BDL 52 597 0 13 Apr 2017
On Loss Functions for Deep Neural Networks in Classification Katarzyna Janocha Wojciech M. Czarnecki UQCV 68 551 0 18 Feb 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis Maxim Raginsky Alexander Rakhlin Matus Telgarsky 70 521 0 13 Feb 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 509 10,322 0 16 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 469 3,140 0 04 Nov 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 258 8,550 0 16 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 534 5,897 0 08 Jul 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,180 0 16 Mar 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 271 19,045 0 20 Dec 2014
Web-Scale Training for Face Identification Yaniv Taigman Ming Yang MarcÁurelio Ranzato Lior Wolf CVBM 74 264 0 20 Jun 2014