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1606.06582
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Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification
21 June 2016
Y. Zhang
Kibok Lee
Honglak Lee
SSL
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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
Gabriele Lagani
Claudio Gennaro
Hannes Fassold
Giuseppe Amato
34
10
0
07 Jul 2022
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
Feng Liang
Yangguang Li
Diana Marculescu
SSL
TPM
ViT
51
22
0
28 May 2022
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
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
Shih-Lun Wu
Hsiao-Yen Tung
Yu-Lun Hsu
16
22
0
23 Nov 2020
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
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
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
Arild Nøkland
L. Eidnes
32
226
0
20 Jan 2019
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
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
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
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
Mohammadreza Mostajabi
Michael Maire
Gregory Shakhnarovich
NoLa
24
32
0
05 Apr 2018
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
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
49
1,797
0
22 Dec 2016
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
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
Chelsea Finn
Tianhe Yu
Justin Fu
Pieter Abbeel
Sergey Levine
OffRL
SSL
35
68
0
01 Dec 2016
Energy-based Generative Adversarial Network
Jiaqi Zhao
Michaël Mathieu
Yann LeCun
GAN
91
1,109
0
11 Sep 2016
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
353
36,437
0
25 Aug 2016
Early Methods for Detecting Adversarial Images
Dan Hendrycks
Kevin Gimpel
AAML
35
235
0
01 Aug 2016
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