Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification

30 August 2021

Papers citing "Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification"

7 / 7 papers shown

Title
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision Pranav Jeevan Amit Sethi VLM 52 4 0 09 Jun 2024
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 278 234 0 16 Mar 2020
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC) Noel Codella V. Rotemberg P. Tschandl M. E. Celebi Stephen W. Dusza ... Aadi Kalloo Konstantinos Liopyris Michael Marchetti Harald Kittler Allan Halpern 67 1,178 0 09 Feb 2019
A System for Massively Parallel Hyperparameter Tuning Liam Li Kevin Jamieson Afshin Rostamizadeh Ekaterina Gonina Moritz Hardt Benjamin Recht Ameet Talwalkar 37 375 0 13 Oct 2018
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning José Lezama Qiang Qiu Pablo Musé Guillermo Sapiro 47 78 0 05 Dec 2017
Scaling the Scattering Transform: Deep Hybrid Networks Edouard Oyallon Eugene Belilovsky Sergey Zagoruyko 47 158 0 27 Mar 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 219 8,030 0 13 Aug 2016