Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods

13 March 2024

Papers citing "Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods"

7 / 7 papers shown

Title
AutoTransfer: AutoML with Knowledge Transfer -- An Application to Graph Neural Networks Kaidi Cao Jiaxuan You Jiaju Liu J. Leskovec 48 4 0 14 Mar 2023
ABAW: Learning from Synthetic Data & Multi-Task Learning Challenges D. Kollias 31 126 0 03 Jul 2022
An AutoML-based Approach to Multimodal Image Sentiment Analysis Vasco Lopes António Gaspar Luís A. Alexandre João Paulo Cordeiro 42 20 0 16 Feb 2021
AutoML to Date and Beyond: Challenges and Opportunities Shubhra (Santu) Karmaker Md. Mahadi Hassan Micah J. Smith Lei Xu Chengxiang Zhai K. Veeramachaneni 55 222 0 21 Oct 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 81 576 0 13 Mar 2020
Feature Pyramid Networks for Object Detection Tsung-Yi Lin Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 154 3,574 0 09 Dec 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014