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Learning Loss Functions for Semi-supervised Learning via Discriminative
  Adversarial Networks

Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks

7 July 2017
Cicero Nogueira dos Santos
Kahini Wadhawan
Bowen Zhou
    GAN
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Papers citing "Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks"

4 / 4 papers shown
Title
Depth and Feature Learning are Provably Beneficial for Neural Network
  Discriminators
Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators
Carles Domingo-Enrich
MLT
MDE
31
0
0
27 Dec 2021
A Unified Framework of Surrogate Loss by Refactoring and Interpolation
A Unified Framework of Surrogate Loss by Refactoring and Interpolation
Lanlan Liu
Mingzhe Wang
Jia Deng
22
8
0
27 Jul 2020
Multi-Task Handwritten Document Layout Analysis
Multi-Task Handwritten Document Layout Analysis
Lorenzo Quirós
25
40
0
22 Jun 2018
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,368
0
25 Aug 2014
1