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
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 47 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 28 15 0 15 Sep 2022
An Analysis of Collocation on GPUs for Deep Learning Training Ties Robroek Ehsan Yousefzadeh-Asl-Miandoab Pınar Tözün 12 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 26 22 0 11 Sep 2022
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization Yan Huang Qihang Lin N. Street Stephen Seung-Yeob Baek FedML 27 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 29 113 0 28 Jun 2022
A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song Lantao Yu W. Neiswanger Stefano Ermon 25 22 0 27 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search Shiqing Liu Haoyu Zhang Yaochu Jin 30 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 11 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 21 15 0 16 Mar 2022
Neural Architecture Search using Progressive Evolution Nilotpal Sinha Kuan-Wen Chen 19 6 0 03 Mar 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 33 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 13 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 25 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 19 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 35 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 19 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 28 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 J. C. V. 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 22 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 20 128 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 22 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 20 15 0 18 Jun 2021
FEAR: A Simple Lightweight Method to Rank Architectures Debadeepta Dey Shital C. Shah Sébastien Bubeck OOD 22 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 50 106 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
Consensus Control for Decentralized Deep Learning Lingjing Kong Tao R. Lin Anastasia Koloskova Martin Jaggi Sebastian U. Stich 19 75 0 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 AAML 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 OOD 21 15 0 13 Aug 2020
Cyclic Differentiable Architecture Search Hongyuan Yu Houwen Peng Yan Huang Jianlong Fu Hao Du Liang Wang Haibin Ling 3DPC 25 48 0 18 Jun 2020