Simplifying Neural Network Training Under Class Imbalance

Simplifying Neural Network Training Under Class Imbalance

5 December 2023

Ravid Shwartz-Ziv

Andrew Gordon Wilson

Papers citing "Simplifying Neural Network Training Under Class Imbalance"

17 / 17 papers shown

Title
A New Benchmark for Few-Shot Class-Incremental Learning: Redefining the Upper Bound Shiwon Kim Dongjun Hwang Sungwon Woo Rita Singh CLL 52 0 0 13 Mar 2025
Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation Junha Lee Sojung An Sujeong You Namik Cho 65 0 0 08 Dec 2024
DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining Youssof Nawar Nouran Soliman Moustafa Wassel Mohamed ElHabebe Noha Adly Marwan Torki Ahmed Elmassry Islam Ahmed MedIm 68 0 0 04 Dec 2024
Ratio law: mathematical descriptions for a universal relationship between AI performance and input samples Boming Kang Qinghua Cui 14 0 0 01 Nov 2024
Training Over a Distribution of Hyperparameters for Enhanced Performance and Adaptability on Imbalanced Classification Kelsey Lieberman Swarna Kamlam Ravindran Shuai Yuan Carlo Tomasi OOD 23 0 0 04 Oct 2024
SGW-based Multi-Task Learning in Vision Tasks Ruiyuan Zhang Yuyao Chen Yuchi Huo Jiaxiang Liu Dianbing Xi Jie Liu Chao Wu 26 0 0 03 Oct 2024
Ensemble Methods for Sequence Classification with Hidden Markov Models Maxime Kawawa-Beaudan Srijan Sood Soham Palande Ganapathy Mani T. Balch Manuela Veloso 17 0 0 11 Sep 2024
Tree species classification at the pixel-level using deep learning and multispectral time series in an imbalanced context Florian Mouret David Morin Milena Planells Cécile Vincent-Barbaroux 27 1 0 05 Aug 2024
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations Tyler LaBonte John C. Hill Xinchen Zhang Vidya Muthukumar Abhishek Kumar AAML 33 0 0 19 Jul 2024
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images Kazi Sajeed Mehrab M. Maruf Arka Daw Harish Babu Manogaran Abhilash Neog ... Paula Mabee Wasila Dahdul Anuj Karpatne Wasila M Dahdul Anuj Karpatne 18 4 0 10 Jul 2024
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions Kelsey Lieberman Shuai Yuan Swarna Kamlam Ravindran Carlo Tomasi 11 0 0 08 Feb 2024
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. B. Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 66 58 0 30 Jun 2022
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 198 477 0 01 Oct 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,878 0 15 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 160 25,150 0 09 Jun 2011