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Augmenting Supervised Neural Networks with Unsupervised Objectives for
  Large-scale Image Classification

Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification

21 June 2016
Y. Zhang
Kibok Lee
Honglak Lee
    SSL
ArXivPDFHTML

Papers citing "Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification"

23 / 23 papers shown
Title
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet
  Level
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level
Gabriele Lagani
Claudio Gennaro
Hannes Fassold
Giuseppe Amato
34
10
0
07 Jul 2022
DECK: Model Hardening for Defending Pervasive Backdoors
DECK: Model Hardening for Defending Pervasive Backdoors
Guanhong Tao
Yingqi Liu
Shuyang Cheng
Shengwei An
Zhuo Zhang
Qiuling Xu
Guangyu Shen
Xiangyu Zhang
AAML
31
7
0
18 Jun 2022
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
Feng Liang
Yangguang Li
Diana Marculescu
SSL
TPM
ViT
53
22
0
28 May 2022
Deep Features for CBIR with Scarce Data using Hebbian Learning
Deep Features for CBIR with Scarce Data using Hebbian Learning
Gabriele Lagani
D. Bacciu
Claudio Gallicchio
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
29
6
0
18 May 2022
Hebbian Semi-Supervised Learning in a Sample Efficiency Setting
Hebbian Semi-Supervised Learning in a Sample Efficiency Setting
Gabriele Lagani
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
SSL
31
22
0
16 Mar 2021
Deep Learning for Automatic Quality Grading of Mangoes: Methods and
  Insights
Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights
Shih-Lun Wu
Hsiao-Yen Tung
Yu-Lun Hsu
16
22
0
23 Nov 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
26
103
0
12 Jun 2020
Adversarial Examples in Modern Machine Learning: A Review
Adversarial Examples in Modern Machine Learning: A Review
R. Wiyatno
Anqi Xu
Ousmane Amadou Dia
A. D. Berker
AAML
21
104
0
13 Nov 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial
  Perturbations
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
Ali Dabouei
Sobhan Soleymani
Fariborz Taherkhani
J. Dawson
Nasser M. Nasrabadi
AAML
104
19
0
08 Oct 2019
Training Neural Networks with Local Error Signals
Training Neural Networks with Local Error Signals
Arild Nøkland
L. Eidnes
32
226
0
20 Jan 2019
Adapting Auxiliary Losses Using Gradient Similarity
Adapting Auxiliary Losses Using Gradient Similarity
Yunshu Du
Wojciech M. Czarnecki
Siddhant M. Jayakumar
Mehrdad Farajtabar
Razvan Pascanu
Balaji Lakshminarayanan
35
156
0
05 Dec 2018
Deep neural network based i-vector mapping for speaker verification
  using short utterances
Deep neural network based i-vector mapping for speaker verification using short utterances
Jinxi Guo
N. Xu
Kailun Qian
Yang Shi
Kaiyuan Xu
Yingnian Wu
Abeer Alwan
14
24
0
16 Oct 2018
Text-to-image Synthesis via Symmetrical Distillation Networks
Text-to-image Synthesis via Symmetrical Distillation Networks
Mingkuan Yuan
Yuxin Peng
DiffM
33
37
0
21 Aug 2018
Deep Semi Supervised Generative Learning for Automated PD-L1 Tumor Cell
  Scoring on NSCLC Tissue Needle Biopsies
Deep Semi Supervised Generative Learning for Automated PD-L1 Tumor Cell Scoring on NSCLC Tissue Needle Biopsies
A. Kapil
A. Meier
A. Zuraw
K. Steele
Marlon Rebelatto
Gunter Schmidt
N. Brieu
20
91
0
28 Jun 2018
Regularizing Deep Networks by Modeling and Predicting Label Structure
Regularizing Deep Networks by Modeling and Predicting Label Structure
Mohammadreza Mostajabi
Michael Maire
Gregory Shakhnarovich
NoLa
24
32
0
05 Apr 2018
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled
  Images
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images
Avi Singh
Larry Yang
Sergey Levine
22
23
0
07 Aug 2017
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
49
1,797
0
22 Dec 2016
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
J. Hopcroft
Serge J. Belongie
GAN
22
458
0
13 Dec 2016
ExtremeWeather: A large-scale climate dataset for semi-supervised
  detection, localization, and understanding of extreme weather events
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
Evan Racah
Christopher Beckham
Tegan Maharaj
Samira Ebrahimi Kahou
P. Prabhat
C. Pal
27
18
0
07 Dec 2016
Generalizing Skills with Semi-Supervised Reinforcement Learning
Generalizing Skills with Semi-Supervised Reinforcement Learning
Chelsea Finn
Tianhe Yu
Justin Fu
Pieter Abbeel
Sergey Levine
OffRL
SSL
35
68
0
01 Dec 2016
Energy-based Generative Adversarial Network
Energy-based Generative Adversarial Network
Jiaqi Zhao
Michaël Mathieu
Yann LeCun
GAN
91
1,109
0
11 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
356
36,437
0
25 Aug 2016
Early Methods for Detecting Adversarial Images
Early Methods for Detecting Adversarial Images
Dan Hendrycks
Kevin Gimpel
AAML
35
235
0
01 Aug 2016
1