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"

42 / 142 papers shown

Title
Stronger NAS with Weaker Predictors Junru Wu Xiyang Dai Dongdong Chen Yinpeng Chen Mengchen Liu Ye Yu Zhangyang Wang Zicheng Liu Mei Chen Lu Yuan OOD 38 41 0 21 Feb 2021
Consensus Control for Decentralized Deep Learning Lingjing Kong Tao R. Lin Anastasia Koloskova Martin Jaggi Sebastian U. Stich 19 76 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
Depthwise Multiception Convolution for Reducing Network Parameters without Sacrificing Accuracy Guoqing Bao M. Graeber Xiuying Wang 13 5 0 07 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 53 405 0 28 Oct 2020
Adversarial Training with Stochastic Weight Average Joong-won Hwang Youngwan Lee Sungchan Oh Yuseok Bae OOD AAML 29 11 0 21 Sep 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 28 381 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
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training Diego Granziol S. Zohren Stephen J. Roberts ODL 37 49 0 16 Jun 2020
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift Sheheryar Zaidi Arber Zela T. Elsken Chris Holmes Frank Hutter Yee Whye Teh OOD UQCV 18 71 0 15 Jun 2020
Multi-fidelity Neural Architecture Search with Knowledge Distillation I. Trofimov Nikita Klyuchnikov Mikhail Salnikov Alexander N. Filippov Evgeny Burnaev 32 15 0 15 Jun 2020
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks Mojtaba Faramarzi Mohammad Amini Akilesh Badrinaaraayanan Vikas Verma A. Chandar AAML 34 31 0 14 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? Shen Yan Yu Zheng Wei Ao Xiao Zeng Mi Zhang SSL AI4CE 32 99 0 12 Jun 2020
An Introduction to Neural Architecture Search for Convolutional Networks George Kyriakides K. Margaritis AI4CE 27 27 0 22 May 2020
SuperMix: Supervising the Mixing Data Augmentation Ali Dabouei Sobhan Soleymani Fariborz Taherkhani Nasser M. Nasrabadi 19 98 0 10 Mar 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Esteban Real Chen Liang David R. So Quoc V. Le 39 220 0 06 Mar 2020
Iterative Averaging in the Quest for Best Test Error Diego Granziol Xingchen Wan Samuel Albanie Stephen J. Roberts 10 3 0 02 Mar 2020
Learning When and Where to Zoom with Deep Reinforcement Learning Burak Uzkent Stefano Ermon 27 66 0 01 Mar 2020
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data Xi Yan David Acuna Sanja Fidler 24 43 0 09 Jan 2020
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search Xuanyi Dong Yi Yang 46 695 0 02 Jan 2020
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples Nils Lukas Yuxuan Zhang Florian Kerschbaum MLAU FedML AAML 36 144 0 02 Dec 2019
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data Xinyun Chen Wenxiao Wang Chris Bender Yiming Ding R. Jia Bo-wen Li D. Song AAML 27 107 0 17 Nov 2019
Robust Training with Ensemble Consensus Jisoo Lee Sae-Young Chung NoLa 22 28 0 22 Oct 2019
ReNAS:Relativistic Evaluation of Neural Architecture Search Yixing Xu Yunhe Wang Avishkar Bhoopchand Christopher Mattern A. Grabska-Barwinska Chunjing Xu Chang Xu 27 82 0 30 Sep 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks Xinyu Gong Shiyu Chang Yi Ding Zhangyang Wang GAN 35 263 0 11 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 20 1,423 0 02 Aug 2019
A framework for the extraction of Deep Neural Networks by leveraging public data Soham Pal Yash Gupta Aditya Shukla Aditya Kanade S. Shevade V. Ganapathy FedML MLAU MIACV 36 56 0 22 May 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild Kibok Lee Kimin Lee Jinwoo Shin Honglak Lee CLL 43 201 0 29 Mar 2019
Class-incremental Learning via Deep Model Consolidation Junting Zhang Jie Zhang Shalini Ghosh Dawei Li Serafettin Tasci Larry Heck Heming Zhang C.-C. Jay Kuo CLL 27 334 0 19 Mar 2019
Robust Inference via Generative Classifiers for Handling Noisy Labels Kimin Lee Sukmin Yun Kibok Lee Honglak Lee Bo-wen Li Jinwoo Shin NoLa 33 134 0 31 Jan 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 34 720 0 28 Jan 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 31 1,453 0 11 Dec 2018
Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection Mahdieh Abbasi Arezoo Rajabi A. Mozafari R. Bobba Christian Gagné AAML 24 9 0 21 Aug 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 23 2,004 0 10 Jul 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness Carlos Lassance Vincent Gripon Antonio Ortega AAML 24 16 0 24 May 2018
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary Byeongho Heo Minsik Lee Sangdoo Yun J. Choi AAML 26 146 0 15 May 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 498 0 24 Apr 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training Hongyu Zhu Mohamed Akrout Bojian Zheng Andrew Pelegris Amar Phanishayee Bianca Schroeder Gennady Pekhimenko 25 80 0 16 Mar 2018
Training wide residual networks for deployment using a single bit for each weight Mark D Mcdonnell MQ 35 71 0 23 Feb 2018
Decoupled Weight Decay Regularization I. Loshchilov Frank Hutter OffRL 65 2,084 0 14 Nov 2017
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 272 2,552 0 25 Jan 2016