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 / 142 papers shown

Title
Efficient Evaluation Methods for Neural Architecture Search: A Survey Xiangning Xie Xiaotian Song Zeqiong Lv Gary G. Yen Weiping Ding Yizhou Sun 36 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 45 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 33 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
Siamese-NAS: Using Trained Samples Efficiently to Find Lightweight Neural Architecture by Prior Knowledge Yumeng Zhang J. Hsieh Chun-Chieh Lee Kuo-Chin Fan 36 0 0 02 Oct 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection Yiming Li Yang Bai Yong Jiang Yong-Liang Yang Shutao Xia Bo Li AAML 56 98 0 27 Sep 2022
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training Saehyung Lee Hyungyu Lee AAML 29 2 0 27 Sep 2022
Generalization Properties of NAS under Activation and Skip Connection Search Zhenyu Zhu Fanghui Liu Grigorios G. Chrysos V. Cevher AI4CE 30 15 0 15 Sep 2022
An Analysis of Collocation on GPUs for Deep Learning Training Ties Robroek Ehsan Yousefzadeh-Asl-Miandoab Pınar Tözün 22 9 0 13 Sep 2022
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression Yuanchao Bai Xianming Liu Kai Wang Xiangyang Ji Xiaoling Wu Wen Gao 32 22 0 11 Sep 2022
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model Xiulong Yang Sheng-Min Shih Yinlin Fu Xiaoting Zhao Shihao Ji DiffM 33 56 0 16 Aug 2022
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization Yan Huang Qihang Lin N. Street Stephen Seung-Yeob Baek FedML 34 9 0 21 Jul 2022
AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance Xiaoliang Liu S. Furao Jian Zhao Changhai Nie AAML 15 1 0 21 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 32 16 0 14 Jul 2022
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 34 114 0 28 Jun 2022
A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song Lantao Yu Willie Neiswanger Stefano Ermon 38 23 0 27 Jun 2022
Can pruning improve certified robustness of neural networks? Zhangheng Li Tianlong Chen Linyi Li Bo-wen Li Zhangyang Wang AAML 13 11 0 15 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search Shiqing Liu Haoyu Zhang Yaochu Jin 38 41 0 03 Jun 2022
Training and Inference on Any-Order Autoregressive Models the Right Way Andy Shih Dorsa Sadigh Stefano Ermon BDL TPM OOD CML 35 23 0 26 May 2022
RandoMix: A mixed sample data augmentation method with multiple mixed modes Xiaoliang Liu Furao Shen Jian Zhao Changhai Nie 11 15 0 18 May 2022
Novelty Driven Evolutionary Neural Architecture Search Nilotpal Sinha Kuan-Wen Chen 13 8 0 01 Apr 2022
Harnessing Hard Mixed Samples with Decoupled Regularizer Zicheng Liu Siyuan Li Ge Wang Cheng Tan Lirong Wu Stan Z. Li 59 18 0 21 Mar 2022
Learning Where To Look -- Generative NAS is Surprisingly Efficient Jovita Lukasik Steffen Jung M. Keuper 29 15 0 16 Mar 2022
Neural Architecture Search using Progressive Evolution Nilotpal Sinha Kuan-Wen Chen 19 6 0 03 Mar 2022
Deconstructing Distributions: A Pointwise Framework of Learning Gal Kaplun Nikhil Ghosh Saurabh Garg Boaz Barak Preetum Nakkiran OOD 33 21 0 20 Feb 2022
Neural Architecture Search for Dense Prediction Tasks in Computer Vision T. Elsken Arber Zela J. H. Metzen B. Staffler Thomas Brox Abhinav Valada Frank Hutter OOD 36 17 0 15 Feb 2022
$Diffractive all-optical computing for quantitative phase imaging$ Diffractive all-optical computing for quantitative phase imaging Deniz Mengu A. Ozcan 34 66 0 22 Jan 2022
Representation Learning via Consistent Assignment of Views to Clusters T. Silva Adín Ramirez Rivera SSL 19 8 0 31 Dec 2021
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing Joonhyung Park J. Yang Jinwoo Shin Sung Ju Hwang Eunho Yang 33 23 0 16 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning Yue Fan Dengxin Dai Anna Kukleva Bernt Schiele 16 43 0 08 Dec 2021
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness? P. Lorenz Dominik Strassel M. Keuper J. Keuper AAML 24 10 0 02 Dec 2021
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup Siyuan Li Zicheng Liu Zedong Wang Di Wu Zihan Liu Stan Z. Li 37 26 0 30 Nov 2021
Addressing out-of-distribution label noise in webly-labelled data Paul Albert Diego Ortego Eric Arazo Noel E. O'Connor Kevin McGuinness NoLa 16 16 0 26 Oct 2021
In Search of Probeable Generalization Measures Jonathan Jaegerman Khalil Damouni M. M. Ankaralı Konstantinos N. Plataniotis 27 2 0 23 Oct 2021
Natural Image Reconstruction from fMRI using Deep Learning: A Survey Zarina Rakhimberdina Quentin Jodelet Xin Liu T. Murata 3DV 127 29 0 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 Jan van Gemert 80 82 0 15 Oct 2021
Graphs as Tools to Improve Deep Learning Methods Carlos Lassance Myriam Bontonou Mounia Hamidouche Bastien Pasdeloup Lucas Drumetz Vincent Gripon GNN AI4CE AAML 47 0 0 08 Oct 2021
$L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning$ L $^{2}$ 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 Shangling Jui Di Niu 37 10 0 25 Sep 2021
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization Yao Shu Shaofeng Cai Zhongxiang Dai Beng Chin Ooi K. H. Low 22 43 0 02 Sep 2021
Task-Oriented Communication for Multi-Device Cooperative Edge Inference Jiawei Shao Yuyi Mao Jun Zhang 22 128 0 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 27 18 0 24 Aug 2021
Neural Architecture Search using Covariance Matrix Adaptation Evolution Strategy Nilotpal Sinha Kuan-Wen Chen 18 5 0 15 Jul 2021
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 9 0 27 Jun 2021
Being a Bit Frequentist Improves Bayesian Neural Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 23 15 0 18 Jun 2021
FEAR: A Simple Lightweight Method to Rank Architectures Debadeepta Dey Shital C. Shah Sébastien Bubeck OOD 30 4 0 07 Jun 2021
Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones? Franco Pellegrini Giulio Biroli 49 6 0 27 Apr 2021
Contrastive Learning Improves Model Robustness Under Label Noise Aritra Ghosh Andrew S. Lan NoLa 21 58 0 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 50 108 0 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