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

27 July 2017

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 Zhenrong Liu Janne M. J. Huttunen Mikko Honkala CLL 49 0 0 13 May 2025
When Dynamic Data Selection Meets Data Augmentation Steve Yang Peng Ye Furao Shen Dongzhan Zhou 26 0 0 02 May 2025
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 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 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 P. Rumiantsev Mark Coates 55 0 0 27 Feb 2025
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 Raphael T. Husistein Markus Reiher Marco Eckhoff 142 1 0 20 Feb 2025
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 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 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 Weihang Chen Jie Ren Zhiqiang Li Ling Gao Z. Wang AI4CE 120 0 0 10 Dec 2024
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 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 Suorong Yang Furao Shen Jian Zhao AAML 31 1 0 10 Sep 2024
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 Sifan Wang Junfeng Liao Ye Yuan Riquan Zhang FedML 41 0 0 21 Aug 2024
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 Jiaxin Deng Junbiao Pang Baochang Zhang 66 1 0 12 Jun 2024
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 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 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 Afzal Ahmad Linfeng Du Zhiyao Xie Wei Zhang 18 0 0 09 Apr 2024
Robustifying and Boosting Training-Free Neural Architecture Search Zhenfeng He Yao Shu Zhongxiang Dai K. H. Low 43 1 0 12 Mar 2024
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 Lukas Balles Cédric Archambeau Giovanni Zappella 29 0 0 08 Dec 2023
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 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 Yiyong Liu Michael Backes Xiao Zhang AAML 19 3 0 08 Oct 2023
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 Albert Mohwald 28 15 0 28 Sep 2023
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 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 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 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 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 Andrew Hryniowski Alexander Wong 16 0 0 16 Jun 2023
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 Zhiying Jiang Risheng Liu Shuzhou Yang Zengxi Zhang Xin-Yue Fan 27 4 0 29 May 2023
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 Aaron Lou Stefano Ermon 24 50 0 10 Apr 2023
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 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 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 Adeetya Patel Michael Eickenberg Eugene Belilovsky 21 5 0 18 Jan 2023
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 Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 42 10 0 01 Dec 2022
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 Liuchun Yuan Zehao Huang Naiyan Wang 29 0 0 26 Oct 2022