Do Better ImageNet Models Transfer Better?

23 May 2018

Papers citing "Do Better ImageNet Models Transfer Better?"

50 / 639 papers shown

Title
Driver Glance Classification In-the-wild: Towards Generalization Across Domains and Subjects Sandipan Banerjee Ajjen Joshi Jay Turcot B. Reimer Taniya Mishra 11 2 0 05 Dec 2020
$DA^3$ :Dynamic Additive Attention Adaption for Memory-EfficientOn-Device Multi-Domain Learning Li Yang Adnan Siraj Rakin Deliang Fan 9 9 0 02 Dec 2020
Chair Segments: A Compact Benchmark for the Study of Object Segmentation Leticia Pinto-Alva Ian K. Torres Rosangel Garcia Ziyan Yang Vicente Ordonez 15 1 0 02 Dec 2020
How Well Do Self-Supervised Models Transfer? Linus Ericsson H. Gouk Timothy M. Hospedales SSL 16 274 0 26 Nov 2020
A Unified Mixture-View Framework for Unsupervised Representation Learning Xiangxiang Chu Xiaohang Zhan Bo-Wen Zhang SSL 4 1 0 26 Nov 2020
Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19 Ioannis D. Apostolopoulos Mpesiana A. Tzani 9 30 0 23 Nov 2020
Ranking Neural Checkpoints Yandong Li Xuhui Jia Ruoxin Sang Yukun Zhu Bradley Green Liqiang Wang Boqing Gong FedML ELM UQCV 19 47 0 23 Nov 2020
Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach Haizhou Shi Dongliang Luo Siliang Tang Jian Wang Yueting Zhuang SSL 11 13 0 22 Nov 2020
Efficient Conditional Pre-training for Transfer Learning Shuvam Chakraborty Burak Uzkent Kumar Ayush Kumar Tanmay Evan Sheehan Stefano Ermon VLM 11 17 0 20 Nov 2020
A Transfer Learning Framework for Anomaly Detection Using Model of Normality Sulaiman A. Aburakhia Tareq Tayeh Ryan Myers Abdallah Shami 8 20 0 12 Nov 2020
Bi-tuning of Pre-trained Representations Jincheng Zhong Ximei Wang Zhi Kou Jianmin Wang Mingsheng Long 8 21 0 12 Nov 2020
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images Sambuddha Ghosal Pratik Shah 9 7 0 11 Nov 2020
Teaching with Commentaries Aniruddh Raghu M. Raghu Simon Kornblith D. Duvenaud Geoffrey E. Hinton 12 24 0 05 Nov 2020
Center-wise Local Image Mixture For Contrastive Representation Learning Hao Li Xiaopeng Zhang H. Xiong 8 8 0 05 Nov 2020
Learning Visual Representations for Transfer Learning by Suppressing Texture Shlok Kumar Mishra Anshul B. Shah Ankan Bansal Janit Anjaria Jonghyun Choi Abhinav Shrivastava Abhishek Sharma David Jacobs SSL 26 11 0 03 Nov 2020
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks Eden Belouadah Adrian Daniel Popescu Ioannis Kanellos CLL 25 212 0 03 Nov 2020
Meta-learning Transferable Representations with a Single Target Domain Hong Liu Jeff Z. HaoChen Colin Wei Tengyu Ma AAML 27 5 0 03 Nov 2020
An Information-Geometric Distance on the Space of Tasks Yansong Gao Pratik Chaudhari 9 20 0 01 Nov 2020
Why Do Better Loss Functions Lead to Less Transferable Features? Simon Kornblith Ting-Li Chen Honglak Lee Mohammad Norouzi FaML 22 90 0 30 Oct 2020
Robust Pre-Training by Adversarial Contrastive Learning Ziyu Jiang Tianlong Chen Ting-Li Chen Zhangyang Wang 6 226 0 26 Oct 2020
Learning Curves for Analysis of Deep Networks Derek Hoiem Tanmay Gupta Zhizhong Li Michal Shlapentokh-Rothman 8 24 0 21 Oct 2020
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images Pablo Messina Pablo Pino Denis Parra Alvaro Soto Cecilia Besa S. Uribe Marcelo andía C. Tejos Claudia Prieto Daniel Capurro MedIm 15 62 0 20 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 19 48 0 19 Oct 2020
An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes Mehdi Miah J. Pepin Nicolas Saunier Guillaume-Alexandre Bilodeau VOT 6 5 0 15 Oct 2020
Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit Ben Adlam Jaehoon Lee Lechao Xiao Jeffrey Pennington Jasper Snoek UQCV BDL 18 15 0 14 Oct 2020
It's the Best Only When It Fits You Most: Finding Related Models for Serving Based on Dynamic Locality Sensitive Hashing Lixi Zhou Zijie Wang A. Das Jia Zou 8 2 0 13 Oct 2020
Which Model to Transfer? Finding the Needle in the Growing Haystack Cédric Renggli André Susano Pinto Luka Rimanic J. Puigcerver C. Riquelme Ce Zhang Mario Lucic 21 23 0 13 Oct 2020
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models Hari Sowrirajan Jingbo Yang A. Ng Pranav Rajpurkar 11 86 0 11 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 14 1,276 0 03 Oct 2020
Machine learning approach to force reconstruction in photoelastic materials Renat Sergazinov M. Kramár 12 13 0 02 Oct 2020
Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis Katsuhiko Ishiguro K. Ujihara R. Sawada Hirotaka Akita Masaaki Kotera 20 6 0 02 Oct 2020
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 11 225 0 28 Sep 2020
Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data Juan Carrillo Mark Crowley Guangyuan Pan L. Fu 6 5 0 22 Sep 2020
The Hardware Lottery Sara Hooker 25 24 0 14 Sep 2020
CuratorNet: Visually-aware Recommendation of Art Images Pablo Messina Manuel Cartagena Patricio Cerda Felipe del-Rio Denis Parra 4 14 0 09 Sep 2020
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives Alexander Mathis Steffen Schneider Jessy Lauer Mackenzie W. Mathis 20 165 0 01 Sep 2020
Background Splitting: Finding Rare Classes in a Sea of Background Ravi Teja Mullapudi Fait Poms W. Mark Deva Ramanan Kayvon Fatahalian VLM 16 9 0 28 Aug 2020
A Flexible Selection Scheme for Minimum-Effort Transfer Learning Amelie Royer Christoph H. Lampert 11 13 0 27 Aug 2020
Towards Practical 2D Grapevine Bud Detection with Fully Convolutional Networks Wenceslao Villegas Marset Diego Sebastián Pérez Carlos Ariel Díaz F. Bromberg 12 1 0 27 Aug 2020
What is being transferred in transfer learning? Behnam Neyshabur Hanie Sedghi Chiyuan Zhang 18 504 0 26 Aug 2020
Learning Models of Individual Behavior in Chess Reid McIlroy-Young Russell Wang S. Sen Jon M. Kleinberg Ashton Anderson 15 12 0 23 Aug 2020
Adaptation Algorithms for Neural Network-Based Speech Recognition: An Overview P. Bell Joachim Fainberg Ondˇrej Klejch Jinyu Li Steve Renals P. Swietojanski 41 74 0 14 Aug 2020
ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network Weiqing Min Linhu Liu Zhiling Wang Zhengdong Luo Xiaoming Wei Xiaolin K. Wei Shuqiang Jiang 11 119 0 13 Aug 2020
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning Kshitij Dwivedi Jiahui Huang Radoslaw Martin Cichy Gemma Roig 11 30 0 05 Aug 2020
Learning Visual Representations with Caption Annotations Mert Bulent Sariyildiz J. Perez Diane Larlus VLM SSL 16 159 0 04 Aug 2020
Neuromorphic Computing for Content-based Image Retrieval Te-Yuan Liu A. Mahjoubfar Daniel Prusinski Luis Stevens VLM 16 11 0 04 Aug 2020
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts Nicolas Gonthier Saïd Ladjal Y. Gousseau WSOD 15 28 0 03 Aug 2020
Receptive-Field Regularized CNNs for Music Classification and Tagging Khaled Koutini Hamid Eghbalzadeh Verena Haunschmid Paul Primus Shreyan Chowdhury Gerhard Widmer VLM 15 5 0 27 Jul 2020
Robust and Generalizable Visual Representation Learning via Random Convolutions Zhenlin Xu Deyi Liu Junlin Yang Colin Raffel Marc Niethammer OOD AAML 41 190 0 25 Jul 2020
Parkinson's Disease Detection with Ensemble Architectures based on ILSVRC Models Tahjid Ashfaque Mostafa I. Cheng 8 1 0 23 Jul 2020