Do Better ImageNet Models Transfer Better?

23 May 2018

Papers citing "Do Better ImageNet Models Transfer Better?"

50 / 639 papers shown

Title
TinyTL: Reduce Activations, Not Trainable Parameters for Efficient On-Device Learning Han Cai Chuang Gan Ligeng Zhu Song Han 11 51 0 22 Jul 2020
Improving compute efficacy frontiers with SliceOut Pascal Notin Aidan N. Gomez Joanna Yoo Y. Gal 6 1 0 21 Jul 2020
Resolution Switchable Networks for Runtime Efficient Image Recognition Yikai Wang F. Sun Duo Li Anbang Yao 14 25 0 19 Jul 2020
On Robustness and Transferability of Convolutional Neural Networks Josip Djolonga Jessica Yung Michael Tschannen Rob Romijnders Lucas Beyer ... D. Moldovan Sylvain Gelly N. Houlsby Xiaohua Zhai Mario Lucic OOD 6 153 0 16 Jul 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor A. Madry 32 416 0 16 Jul 2020
SqueezeFacePoseNet: Lightweight Face Verification Across Different Poses for Mobile Platforms F. Alonso-Fernandez Javier Barrachina Kevin Hernandez Diaz J. Bigün CVBM 14 8 0 16 Jul 2020
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification Francisco Utrera Evan Kravitz N. Benjamin Erichson Rekha Khanna Michael W. Mahoney GAN 9 33 0 11 Jul 2020
Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization Yunho Jeon Yongseok Choi Jaesun Park Subin Yi D.-Y. Cho Jiwon Kim 7 6 0 10 Jul 2020
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr Xingjian Li Haoyi Xiong Haozhe An Chengzhong Xu Dejing Dou ODL 12 39 0 07 Jul 2020
Learn Faster and Forget Slower via Fast and Stable Task Adaptation Farshid Varno Lucas May Petry Lisa Di-Jorio Stan Matwin CLL 9 2 0 02 Jul 2020
Rethinking Channel Dimensions for Efficient Model Design Dongyoon Han Sangdoo Yun Byeongho Heo Y. Yoo 3DV 6 83 0 02 Jul 2020
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency Robert Geirhos Kristof Meding Felix Wichmann 6 116 0 30 Jun 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo D. Song Jacob Steinhardt Justin Gilmer OOD 25 1,663 0 29 Jun 2020
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization Sang Michael Xie Tengyu Ma Percy Liang 14 13 0 29 Jun 2020
Subpopulation Data Poisoning Attacks Matthew Jagielski Giorgio Severi Niklas Pousette Harger Alina Oprea AAML SILM 8 112 0 24 Jun 2020
What shapes feature representations? Exploring datasets, architectures, and training Katherine L. Hermann Andrew Kyle Lampinen OOD 19 153 0 22 Jun 2020
Towards Understanding Label Smoothing Yi Tian Xu Yuanhong Xu Qi Qian Hao Li R. L. Jin UQCV 16 40 0 20 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 26 6,638 0 13 Jun 2020
Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks Yehuda Dar Richard G. Baraniuk 10 19 0 12 Jun 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Tsung-Yi Lin Yin Cui Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 10 644 0 11 Jun 2020
What makes instance discrimination good for transfer learning? Nanxuan Zhao Zhirong Wu Rynson W. H. Lau Stephen Lin SSL 6 167 0 11 Jun 2020
Domain Specific, Semi-Supervised Transfer Learning for Medical Imaging Jitender Singh Virk Deepti R. Bathula 6 3 0 24 May 2020
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks Dimitris Tsipras Shibani Santurkar Logan Engstrom Andrew Ilyas A. Madry 15 129 0 22 May 2020
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation Liang-Chieh Chen Raphael Gontijo-Lopes Bowen Cheng Maxwell D. Collins E. D. Cubuk Barret Zoph Hartwig Adam Jonathon Shlens 23 76 0 20 May 2020
Weakly Supervised Representation Learning with Coarse Labels Yuanhong Xu Qi Qian Hao Li R. L. Jin Juhua Hu SSL 12 8 0 19 May 2020
Neural Architecture Transfer Zhichao Lu Gautam Sreekumar E. Goodman W. Banzhaf Kalyanmoy Deb Vishnu Naresh Boddeti AAML 6 150 0 12 May 2020
AutoCLINT: The Winning Method in AutoCV Challenge 2019 Woonhyuk Baek Ildoo Kim Sungwoong Kim Sungbin Lim 12 2 0 09 May 2020
Multi-task pre-training of deep neural networks for digital pathology Romain Mormont Pierre Geurts R. Marée 6 50 0 05 May 2020
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection Dongzhan Zhou Xinchi Zhou Hongwen Zhang Shuai Yi Wanli Ouyang VLM 13 16 0 25 Apr 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 14 4,402 0 23 Apr 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning Ryan C. Julian Benjamin Swanson Gaurav Sukhatme Sergey Levine Chelsea Finn Karol Hausman OnRL CLL 12 43 0 21 Apr 2020
Self-Supervised Representation Learning on Document Images Adrian Cosma Mihai Ghidoveanu Michael Panaitescu-Liess Marius Popescu SSL 20 14 0 18 Apr 2020
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs? Hirokatsu Kataoka Tenga Wakamiya Kensho Hara Y. Satoh 3DPC 15 87 0 10 Apr 2020
Any-Shot Sequential Anomaly Detection in Surveillance Videos Keval Doshi Y. Yilmaz 8 71 0 05 Apr 2020
Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology Srinath Jayachandran Ashlin Ghosh MedIm 19 8 0 03 Apr 2020
MUXConv: Information Multiplexing in Convolutional Neural Networks Zhichao Lu Kalyanmoy Deb Vishnu Naresh Boddeti 6 44 0 31 Mar 2020
Are Labels Necessary for Neural Architecture Search? Chenxi Liu Piotr Dollár Kaiming He Ross B. Girshick Alan Yuille Saining Xie 8 75 0 26 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 30 120 0 26 Mar 2020
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability Jie Song Yixin Chen Jingwen Ye Xinchao Wang Chengchao Shen Feng Mao Mingli Song 15 29 0 17 Mar 2020
Curriculum By Smoothing Samarth Sinha Animesh Garg Hugo Larochelle 6 7 0 03 Mar 2020
LEEP: A New Measure to Evaluate Transferability of Learned Representations Cuong V Nguyen Tal Hassner Matthias Seeger Cédric Archambeau 20 213 0 27 Feb 2020
Rethinking the Hyperparameters for Fine-tuning Hao Li Pratik Chaudhari Hao Yang Michael Lam Avinash Ravichandran Rahul Bhotika Stefano Soatto VLM 15 127 0 19 Feb 2020
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks Micah Goldblum Steven Reich Liam H. Fowl Renkun Ni Valeriia Cherepanova Tom Goldstein SSL OffRL 18 75 0 17 Feb 2020
CRL: Class Representative Learning for Image Classification Mayanka Chandrashekar Yugyung Lee VLM 8 1 0 16 Feb 2020
AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks Youngmin Ro J. Choi 6 5 0 14 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 7 18,261 0 13 Feb 2020
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness Ting-Wu Chin Cha Zhang Diana Marculescu AAML 8 1 0 07 Feb 2020
Impact of ImageNet Model Selection on Domain Adaptation Youshan Zhang Brian D. Davison FAtt OOD VLM 39 34 0 06 Feb 2020
Continual Local Replacement for Few-shot Learning Canyu Le Zhonggui Chen Xihan Wei Biao Wang Lei Zhang BDL CLL 6 2 0 23 Jan 2020
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network Jungkyu Lee Taeryun Won Tae Kwan Lee Hyemin Lee Geonmo Gu K. Hong 18 57 0 17 Jan 2020