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A Downsampled Variant of ImageNet as an Alternative to the CIFAR
  datasets

A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets

27 July 2017
P. Chrabaszcz
I. Loshchilov
Frank Hutter
    SSeg
    OOD
ArXivPDFHTML

Papers citing "A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets"

50 / 131 papers shown
Title
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
Zhenrong Liu
Janne M. J. Huttunen
Mikko Honkala
CLL
49
0
0
13 May 2025
When Dynamic Data Selection Meets Data Augmentation
When Dynamic Data Selection Meets Data Augmentation
Steve Yang
Peng Ye
Furao Shen
Dongzhan Zhou
24
0
0
02 May 2025
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Michal Balcerak
Tamaz Amiranashvili
Suprosanna Shit
Antonio Terpin
Sebastian Kaltenbach
Petros Koumoutsakos
Bjoern H. Menze
DiffM
28
1
0
14 Apr 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
Changlong Shi
Jinmeng Li
He Zhao
D. Guo
Yi Chang
FedML
47
0
0
19 Mar 2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
Lilin Zhang
Chengpei Wu
Ning Yang
36
0
0
14 Mar 2025
BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning
Yu Zhou
Bingyan Liu
FedML
OOD
TTA
59
0
0
09 Mar 2025
Variation Matters: from Mitigating to Embracing Zero-Shot NAS Ranking Function Variation
Variation Matters: from Mitigating to Embracing Zero-Shot NAS Ranking Function Variation
P. Rumiantsev
Mark Coates
55
0
0
27 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness
Emanuele Ballarin
A. Ansuini
Luca Bortolussi
AAML
62
0
0
20 Feb 2025
NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance
NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance
Raphael T. Husistein
Markus Reiher
Marco Eckhoff
142
1
0
20 Feb 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Won-Jun Jang
Hyeon-Seo Park
Si-Hyeon Lee
FedML
178
0
0
10 Feb 2025
FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks
FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks
Jiarui Song
Yunheng Shen
Chengbin Hou
Pengyu Wang
Jinbao Wang
Ke Tang
Hairong Lv
FedML
44
1
0
24 Jan 2025
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
Yanbing Zhou
Xiangmou Qu
Chenlong You
Jiyang Zhou
Jingyue Tang
Xin Zheng
Chunmao Cai
Yingbo Wu
FedML
52
1
0
09 Jan 2025
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning
Weihang Chen
Jie Ren
Zhiqiang Li
Ling Gao
Z. Wang
AI4CE
120
0
0
10 Dec 2024
Brain-like variational inference
Brain-like variational inference
Hadi Vafaii
Dekel Galor
Jacob L. Yates
DRL
49
0
0
25 Oct 2024
Uncovering, Explaining, and Mitigating the Superficial Safety of
  Backdoor Defense
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense
Rui Min
Zeyu Qin
Nevin L. Zhang
Li Shen
Minhao Cheng
AAML
36
4
0
13 Oct 2024
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for
  Image Classification
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification
Suorong Yang
Furao Shen
Jian Zhao
AAML
31
1
0
10 Sep 2024
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
Qianlong Xiang
Miao Zhang
Yuzhang Shang
Jianlong Wu
Yan Yan
Liqiang Nie
DiffM
63
10
0
05 Sep 2024
The Key of Parameter Skew in Federated Learning
The Key of Parameter Skew in Federated Learning
Sifan Wang
Junfeng Liao
Ye Yuan
Riquan Zhang
FedML
41
0
0
21 Aug 2024
SUMix: Mixup with Semantic and Uncertain Information
SUMix: Mixup with Semantic and Uncertain Information
Huafeng Qin
Xin Jin
Hongyu Zhu
Hongchao Liao
M. El-Yacoubi
Xinbo Gao
UQCV
31
6
0
10 Jul 2024
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization
Jiaxin Deng
Junbiao Pang
Baochang Zhang
66
1
0
12 Jun 2024
CLoG: Benchmarking Continual Learning of Image Generation Models
CLoG: Benchmarking Continual Learning of Image Generation Models
Haotian Zhang
Junting Zhou
Haowei Lin
Hang Ye
Jianhua Zhu
Zihao Wang
Liangcai Gao
Yizhou Wang
Yitao Liang
DiffM
VLM
34
1
0
07 Jun 2024
PETRA: Parallel End-to-end Training with Reversible Architectures
PETRA: Parallel End-to-end Training with Reversible Architectures
Stephane Rivaud
Louis Fournier
Thomas Pumir
Eugene Belilovsky
Michael Eickenberg
Edouard Oyallon
23
0
0
04 Jun 2024
Realistic Continual Learning Approach using Pre-trained Models
Realistic Continual Learning Approach using Pre-trained Models
Nadia Nasri
Carlos Gutiérrez-Álvarez
Sergio Lafuente-Arroyo
Saturnino Maldonado-Bascón
Roberto J. López-Sastre
CLL
37
0
0
11 Apr 2024
Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS
Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS
Afzal Ahmad
Linfeng Du
Zhiyao Xie
Wei Zhang
18
0
0
09 Apr 2024
Robustifying and Boosting Training-Free Neural Architecture Search
Robustifying and Boosting Training-Free Neural Architecture Search
Zhenfeng He
Yao Shu
Zhongxiang Dai
K. H. Low
40
1
0
12 Mar 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning
On the Byzantine-Resilience of Distillation-Based Federated Learning
Christophe Roux
Max Zimmer
Sebastian Pokutta
AAML
51
1
0
19 Feb 2024
A Negative Result on Gradient Matching for Selective Backprop
A Negative Result on Gradient Matching for Selective Backprop
Lukas Balles
Cédric Archambeau
Giovanni Zappella
29
0
0
08 Dec 2023
TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices
TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices
Jianlei Yang
Jiacheng Liao
Fanding Lei
Meichen Liu
Junyi Chen
Lingkun Long
Han Wan
Bei Yu
Weisheng Zhao
MoE
33
2
0
03 Nov 2023
Bespoke Solvers for Generative Flow Models
Bespoke Solvers for Generative Flow Models
Neta Shaul
Juan C. Pérez
Ricky T. Q. Chen
Ali K. Thabet
Albert Pumarola
Y. Lipman
25
23
0
29 Oct 2023
Transferable Availability Poisoning Attacks
Transferable Availability Poisoning Attacks
Yiyong Liu
Michael Backes
Xiao Zhang
AAML
19
3
0
08 Oct 2023
Elephant Neural Networks: Born to Be a Continual Learner
Elephant Neural Networks: Born to Be a Continual Learner
Qingfeng Lan
A. R. Mahmood
CLL
42
9
0
02 Oct 2023
Transformer-VQ: Linear-Time Transformers via Vector Quantization
Transformer-VQ: Linear-Time Transformers via Vector Quantization
Albert Mohwald
28
15
0
28 Sep 2023
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks
Kartikeya Bhardwaj
Hsin-Pai Cheng
Sweta Priyadarshi
Zhuojing Li
21
1
0
26 Sep 2023
Elucidating the Exposure Bias in Diffusion Models
Elucidating the Exposure Bias in Diffusion Models
Mang Ning
Mingxiao Li
Jianlin Su
A. A. Salah
Itir Onal Ertugrul
DiffM
119
35
0
29 Aug 2023
GPFL: Simultaneously Learning Global and Personalized Feature
  Information for Personalized Federated Learning
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Jianyin Cao
Haibing Guan
39
23
0
20 Aug 2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
Hongwu Peng
Shaoyi Huang
Tong Zhou
Yukui Luo
Chenghong Wang
...
Tony Geng
Kaleel Mahmood
Wujie Wen
Xiaolin Xu
Caiwen Ding
OffRL
47
38
0
20 Aug 2023
An Evaluation of Zero-Cost Proxies -- from Neural Architecture
  Performance to Model Robustness
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness
Jovita Lukasik
Michael Moeller
M. Keuper
27
1
0
18 Jul 2023
Systematic Architectural Design of Scale Transformed Attention Condenser
  DNNs via Multi-Scale Class Representational Response Similarity Analysis
Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis
Andrew Hryniowski
Alexander Wong
16
0
0
16 Jun 2023
Can Forward Gradient Match Backpropagation?
Can Forward Gradient Match Backpropagation?
Louis Fournier
Stephane Rivaud
Eugene Belilovsky
Michael Eickenberg
Edouard Oyallon
19
16
0
12 Jun 2023
Contrastive Learning Based Recursive Dynamic Multi-Scale Network for
  Image Deraining
Contrastive Learning Based Recursive Dynamic Multi-Scale Network for Image Deraining
Zhiying Jiang
Risheng Liu
Shuzhou Yang
Zengxi Zhang
Xin-Yue Fan
24
4
0
29 May 2023
GeNAS: Neural Architecture Search with Better Generalization
GeNAS: Neural Architecture Search with Better Generalization
Joonhyun Jeong
Joonsang Yu
Geondo Park
Dongyoon Han
Y. Yoo
30
4
0
15 May 2023
Reflected Diffusion Models
Reflected Diffusion Models
Aaron Lou
Stefano Ermon
24
50
0
10 Apr 2023
Prototype-Sample Relation Distillation: Towards Replay-Free Continual
  Learning
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning
Nader Asadi
Mohammad Davar
Sudhir Mudur
Rahaf Aljundi
Eugene Belilovsky
CLL
34
35
0
26 Mar 2023
Differentially Private Diffusion Models Generate Useful Synthetic Images
Differentially Private Diffusion Models Generate Useful Synthetic Images
Sahra Ghalebikesabi
Leonard Berrada
Sven Gowal
Ira Ktena
Robert Stanforth
Jamie Hayes
Soham De
Samuel L. Smith
Olivia Wiles
Borja Balle
DiffM
31
69
0
27 Feb 2023
A Multi-Resolution Framework for U-Nets with Applications to
  Hierarchical VAEs
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs
Fabian Falck
Christopher Williams
D. Danks
George Deligiannidis
C. Yau
Chris Holmes
Arnaud Doucet
M. Willetts
16
8
0
19 Jan 2023
Local Learning with Neuron Groups
Local Learning with Neuron Groups
Adeetya Patel
Michael Eickenberg
Eugene Belilovsky
18
5
0
18 Jan 2023
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Xiangning Xie
Xiaotian Song
Zeqiong Lv
Gary G. Yen
Weiping Ding
Yizhou Sun
29
12
0
14 Jan 2023
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Andrei Atanov
Andrei Filatov
Teresa Yeo
Ajay Sohmshetty
Amir Zamir
OOD
40
10
0
01 Dec 2022
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for
  Image Classification
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification
Suorong Yang
Jinqiao Li
Jian Zhao
S. Furao
AAML
27
6
0
29 Nov 2022
PredNAS: A Universal and Sample Efficient Neural Architecture Search
  Framework
PredNAS: A Universal and Sample Efficient Neural Architecture Search Framework
Liuchun Yuan
Zehao Huang
Naiyan Wang
29
0
0
26 Oct 2022
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