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1707.08819
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A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
27 July 2017
P. Chrabaszcz
I. Loshchilov
Frank Hutter
SSeg
OOD
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Papers citing
"A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets"
50 / 131 papers shown
Title
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Generalization Properties of NAS under Activation and Skip Connection Search
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Fanghui Liu
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An Analysis of Collocation on GPUs for Deep Learning Training
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Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression
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Qihang Lin
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Changhai Nie
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15
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Stephen Gould
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14 Jul 2022
POEM: Out-of-Distribution Detection with Posterior Sampling
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Training and Inference on Any-Order Autoregressive Models the Right Way
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26 May 2022
RandoMix: A mixed sample data augmentation method with multiple mixed modes
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18 May 2022
Novelty Driven Evolutionary Neural Architecture Search
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Kuan-Wen Chen
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Harnessing Hard Mixed Samples with Decoupled Regularizer
Zicheng Liu
Siyuan Li
Ge Wang
Cheng Tan
Lirong Wu
Stan Z. Li
59
18
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21 Mar 2022
Learning Where To Look -- Generative NAS is Surprisingly Efficient
Jovita Lukasik
Steffen Jung
M. Keuper
21
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16 Mar 2022
Neural Architecture Search using Progressive Evolution
Nilotpal Sinha
Kuan-Wen Chen
19
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03 Mar 2022
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
T. Elsken
Arber Zela
J. H. Metzen
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Thomas Brox
Abhinav Valada
Frank Hutter
OOD
33
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15 Feb 2022
Diffractive all-optical computing for quantitative phase imaging
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A. Ozcan
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Representation Learning via Consistent Assignment of Views to Clusters
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Adín Ramirez Rivera
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Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing
Joonhyung Park
J. Yang
Jinwoo Shin
Sung Ju Hwang
Eunho Yang
25
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CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning
Yue Fan
Dengxin Dai
Anna Kukleva
Bernt Schiele
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Addressing out-of-distribution label noise in webly-labelled data
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Kevin McGuinness
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In Search of Probeable Generalization Measures
Jonathan Jaegerman
Khalil Damouni
M. M. Ankaralı
Konstantinos N. Plataniotis
19
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23 Oct 2021
Natural Image Reconstruction from fMRI using Deep Learning: A Survey
Zarina Rakhimberdina
Quentin Jodelet
Xin Liu
T. Murata
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18 Oct 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes
David W. Romero
Robert-Jan Bruintjes
Jakub M. Tomczak
Erik J. Bekkers
Mark Hoogendoorn
J. C. V. Gemert
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15 Oct 2021
Graphs as Tools to Improve Deep Learning Methods
Carlos Lassance
Myriam Bontonou
Mounia Hamidouche
Bastien Pasdeloup
Lucas Drumetz
Vincent Gripon
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44
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0
08 Oct 2021
L
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NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning
Keith G. Mills
Fred X. Han
Mohammad Salameh
Seyed Saeed Changiz Rezaei
Linglong Kong
Wei Lu
Shuo Lian
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Di Niu
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25 Sep 2021
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Yao Shu
Shaofeng Cai
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Task-Oriented Communication for Multi-Device Cooperative Edge Inference
Jiawei Shao
Yuyi Mao
Jun Zhang
20
128
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01 Sep 2021
Lossless Image Compression Using a Multi-Scale Progressive Statistical Model
Honglei Zhang
Francesco Cricri
Hamed R. Tavakoli
Nannan Zou
Emre B. Aksu
M. Hannuksela
22
18
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24 Aug 2021
Neural Architecture Search using Covariance Matrix Adaptation Evolution Strategy
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18
5
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Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic
Nidhi Gowdra
R. Sinha
Stephen G. MacDonell
W. Yan
21
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27 Jun 2021
Being a Bit Frequentist Improves Bayesian Neural Networks
Agustinus Kristiadi
Matthias Hein
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18 Jun 2021
FEAR: A Simple Lightweight Method to Rank Architectures
Debadeepta Dey
Shital C. Shah
Sébastien Bubeck
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22
4
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Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones?
Franco Pellegrini
Giulio Biroli
49
6
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27 Apr 2021
Contrastive Learning Improves Model Robustness Under Label Noise
Aritra Ghosh
Andrew S. Lan
NoLa
19
58
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19 Apr 2021
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
Chaojian Li
Zhongzhi Yu
Yonggan Fu
Yongan Zhang
Yang Katie Zhao
Haoran You
Qixuan Yu
Yue Wang
Yingyan Lin
50
106
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19 Mar 2021
Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
Sian-Yao Huang
W. Chu
14
25
0
12 Mar 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Abulikemu Abuduweili
Xingjian Li
Humphrey Shi
Chengzhong Xu
Dejing Dou
40
77
0
03 Mar 2021
Consensus Control for Decentralized Deep Learning
Lingjing Kong
Tao R. Lin
Anastasia Koloskova
Martin Jaggi
Sebastian U. Stich
19
75
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09 Feb 2021
They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning
Zhuo Huang
Ying Tai
Chengjie Wang
Jian Yang
Chen Gong
31
23
0
27 Nov 2020
Scaling Laws for Autoregressive Generative Modeling
T. Henighan
Jared Kaplan
Mor Katz
Mark Chen
Christopher Hesse
...
Nick Ryder
Daniel M. Ziegler
John Schulman
Dario Amodei
Sam McCandlish
27
405
0
28 Oct 2020
Adversarial Training with Stochastic Weight Average
Joong-won Hwang
Youngwan Lee
Sungchan Oh
Yuseok Bae
OOD
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19
11
0
21 Sep 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
Jang-Hyun Kim
Wonho Choo
Hyun Oh Song
AAML
17
380
0
15 Sep 2020
Network Architecture Search for Domain Adaptation
Yichen Li
Xingchao Peng
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19
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Cyclic Differentiable Architecture Search
Hongyuan Yu
Houwen Peng
Yan Huang
Jianlong Fu
Hao Du
Liang Wang
Haibin Ling
3DPC
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48
0
18 Jun 2020
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