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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
Xicheng Zhang
Kibok Lee
Honglak Lee
SSL
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Papers citing
"Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification"
50 / 68 papers shown
DNN-GDITD: Out-of-distribution detection via Deep Neural Network based Gaussian Descriptor for Imbalanced Tabular Data
Priyanka Chudasama
Anil Surisetty
Aakarsh Malhotra
Alok Singh
228
0
0
02 Sep 2024
DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction
Computer Vision and Pattern Recognition (CVPR), 2023
Shubhankar Borse
Debasmit Das
Hyojin Park
H. Cai
Risheek Garrepalli
Fatih Porikli
318
10
0
02 Mar 2023
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level
Similarity Search and Applications (SISAP), 2022
Gabriele Lagani
Claudio Gennaro
Hannes Fassold
Giuseppe Amato
141
13
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
334
7
0
18 Jun 2022
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
Feng Liang
Yangguang Li
Diana Marculescu
SSL
TPM
ViT
295
28
0
28 May 2022
Deep Features for CBIR with Scarce Data using Hebbian Learning
International Conference on Content-Based Multimedia Indexing (CBMI), 2022
Gabriele Lagani
D. Bacciu
Claudio Gallicchio
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
126
8
0
18 May 2022
JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaging
Applied Optics (Appl. Opt.), 2022
Brayan Monroy
Jorge Bacca
Henry Arguello
SupR
183
12
0
16 May 2022
ExpertNet: A Symbiosis of Classification and Clustering
Shivin Srivastava
Kenji Kawaguchi
Vaibhav Rajan
78
1
0
17 Jan 2022
AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor Models
IV WilliamE.Carson
Austin Talbot
David Carlson
71
3
0
07 Jan 2022
Learning to Assist Agents by Observing Them
Antti Keurulainen
Isak Westerlund
Samuel Kaski
Alexander Ilin
62
0
0
04 Oct 2021
Behaviour-conditioned policies for cooperative reinforcement learning tasks
Antti Keurulainen
Isak Westerlund
Ariel Kwiatkowski
Samuel Kaski
Alexander Ilin
106
0
0
04 Oct 2021
Fourier Transform Approximation as an Auxiliary Task for Image Classification
Chen Liu
220
1
0
22 Jun 2021
Streaming Self-Training via Domain-Agnostic Unlabeled Images
Zhiqiu Lin
Deva Ramanan
Aayush Bansal
LRM
192
6
0
07 Apr 2021
Hebbian Semi-Supervised Learning in a Sample Efficiency Setting
Neural Networks (NN), 2021
Gabriele Lagani
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
SSL
225
23
0
16 Mar 2021
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
International Conference on Machine Learning (ICML), 2021
Piotr Teterwak
Chiyuan Zhang
Dilip Krishnan
Michael C. Mozer
196
11
0
15 Mar 2021
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks
International Conference on Pattern Recognition (ICPR), 2021
Sebastián M. Palacio
P. Engler
Jörn Hees
Andreas Dengel
128
2
0
07 Jan 2021
Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights
International Conference on Machine Learning and Applications (ICMLA), 2020
Shih-Lun Wu
Hsiao-Yen Tung
Yu-Lun Hsu
195
31
0
23 Nov 2020
Training Multimodal Systems for Classification with Multiple Objectives
Jason Armitage
Shramana Thakur
Rishi Tripathi
Jens Lehmann
M. Maleshkova
168
1
0
26 Aug 2020
Improving task-specific representation via 1M unlabelled images without any extra knowledge
Aayush Bansal
SSL
VLM
87
2
0
24 Jun 2020
CompressNet: Generative Compression at Extremely Low Bitrates
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Shubham Dash
Aditya A. Ramesh
Vijayakrishna Naganoor
S. K. Raman
Giridharan Kumaravelu
Honglak Lee
144
16
0
14 Jun 2020
Towards Robust Pattern Recognition: A Review
Proceedings of the IEEE (Proc. IEEE), 2020
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
204
126
0
12 Jun 2020
Autoencoders
Dor Bank
Noam Koenigstein
Raja Giryes
HAI
130
0
0
12 Mar 2020
Hierarchical Memory Decoding for Video Captioning
Aming Wu
Yahong Han
160
2
0
27 Feb 2020
Image Embedded Segmentation: Uniting Supervised and Unsupervised Objectives for Segmenting Histopathological Images
Can Taylan
C. Sokmensuer
C. Gunduz-Demir
247
0
0
30 Jan 2020
Learned SVD: solving inverse problems via hybrid autoencoding
Y. Boink
Christoph Brune
128
15
0
20 Dec 2019
Discovery and Separation of Features for Invariant Representation Learning
Ayush Jaiswal
Rob Brekelmans
Daniel Moyer
Greg Ver Steeg
Wael AbdAlmageed
Premkumar Natarajan
CML
OOD
134
11
0
02 Dec 2019
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations
AAAI Conference on Artificial Intelligence (AAAI), 2019
Taihong Xiao
Yi-Hsuan Tsai
Kihyuk Sohn
Manmohan Chandraker
Ming-Hsuan Yang
142
82
0
22 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review
R. Wiyatno
Anqi Xu
Ousmane Amadou Dia
A. D. Berker
AAML
233
114
0
13 Nov 2019
Invariant Representations through Adversarial Forgetting
AAAI Conference on Artificial Intelligence (AAAI), 2019
Ayush Jaiswal
Daniel Moyer
Greg Ver Steeg
Wael AbdAlmageed
Premkumar Natarajan
OOD
234
44
0
11 Nov 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Ali Dabouei
Sobhan Soleymani
Fariborz Taherkhani
J. Dawson
Nasser M. Nasrabadi
AAML
234
22
0
08 Oct 2019
Scaling Object Detection by Transferring Classification Weights
IEEE International Conference on Computer Vision (ICCV), 2019
Jason Kuen
Federico Perazzi
Zhe Lin
Jianming Zhang
Yap-Peng Tan
ViT
174
18
0
15 Sep 2019
Learning Rich Representations For Structured Visual Prediction Tasks
Mohammadreza Mostajabi
MDE
153
0
0
30 Aug 2019
Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement Learning
G. V. D. L. Cruz
Yunshu Du
Matthew E. Taylor
OffRL
95
5
0
03 Apr 2019
Training Neural Networks with Local Error Signals
Arild Nøkland
L. Eidnes
213
252
0
20 Jan 2019
Accelerated Training for CNN Distributed Deep Learning through Automatic Resource-Aware Layer Placement
Jay H. Park
Sunghwan Kim
Jinwon Lee
Myeongjae Jeon
S. Noh
83
12
0
17 Jan 2019
Pre-training with Non-expert Human Demonstration for Deep Reinforcement Learning
G. V. D. L. Cruz
Yunshu Du
Matthew E. Taylor
OffRL
120
27
0
21 Dec 2018
Classification-Reconstruction Learning for Open-Set Recognition
Ryota Yoshihashi
Wen Shao
Rei Kawakami
Shaodi You
M. Iida
T. Naemura
BDL
342
363
0
11 Dec 2018
Adapting Auxiliary Losses Using Gradient Similarity
Yunshu Du
Wojciech M. Czarnecki
Siddhant M. Jayakumar
Mehrdad Farajtabar
Razvan Pascanu
Balaji Lakshminarayanan
405
169
0
05 Dec 2018
High-Level Strategy Selection under Partial Observability in StarCraft: Brood War
Jonas Gehring
Da Ju
Vegard Mella
Daniel Gant
Nicolas Usunier
Gabriel Synnaeve
100
7
0
21 Nov 2018
SparseFool: a few pixels make a big difference
Computer Vision and Pattern Recognition (CVPR), 2018
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
329
217
0
06 Nov 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
106
26
0
16 Oct 2018
Learning End-to-end Autonomous Driving using Guided Auxiliary Supervision
Ashish Mehta
Adithya Subramanian
A. Subramanian
89
36
0
30 Aug 2018
Text-to-image Synthesis via Symmetrical Distillation Networks
Mingkuan Yuan
Yuxin Peng
DiffM
109
39
0
21 Aug 2018
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning
Thomas Robert
Nicolas Thome
Matthieu Cord
188
41
0
30 Jul 2018
Deep Semi Supervised Generative Learning for Automated PD-L1 Tumor Cell Scoring on NSCLC Tissue Needle Biopsies
Scientific Reports (Sci Rep), 2018
A. Kapil
A. Meier
A. Zuraw
K. Steele
Marlon Rebelatto
Gunter Schmidt
N. Brieu
123
97
0
28 Jun 2018
Deep Global-Connected Net With The Generalized Multi-Piecewise ReLU Activation in Deep Learning
Zhi Chen
P. Ho
80
3
0
19 Jun 2018
Robust Conditional Generative Adversarial Networks
Grigorios G. Chrysos
Jean Kossaifi
Stefanos Zafeiriou
GAN
189
31
0
22 May 2018
Regularizing Deep Networks by Modeling and Predicting Label Structure
Mohammadreza Mostajabi
Michael Maire
Gregory Shakhnarovich
NoLa
154
32
0
05 Apr 2018
Divide, Denoise, and Defend against Adversarial Attacks
Seyed-Mohsen Moosavi-Dezfooli
A. Shrivastava
Oncel Tuzel
AAML
159
46
0
19 Feb 2018
Deep supervised learning using local errors
Hesham Mostafa
V. Ramesh
Gert Cauwenberghs
180
125
0
17 Nov 2017
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