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Quantum-Informed Contrastive Learning with Dynamic Mixup Augmentation for Class-Imbalanced Expert Systems

Quantum-Informed Contrastive Learning with Dynamic Mixup Augmentation for Class-Imbalanced Expert Systems

16 June 2025
Md Abrar Jahin
Adiba Abid
M. F. Mridha
ArXiv (abs)PDFHTML

Papers citing "Quantum-Informed Contrastive Learning with Dynamic Mixup Augmentation for Class-Imbalanced Expert Systems"

15 / 15 papers shown
Title
Simplicial SMOTE: Oversampling Solution to the Imbalanced Learning Problem
Oleg Kachan
Andrey Savchenko
Gleb Gusev
122
1
0
05 Mar 2025
QAmplifyNet: Pushing the Boundaries of Supply Chain Backorder Prediction
  Using Interpretable Hybrid Quantum-Classical Neural Network
QAmplifyNet: Pushing the Boundaries of Supply Chain Backorder Prediction Using Interpretable Hybrid Quantum-Classical Neural Network
Md Abrar Jahin
Md Sakib Hossain Shovon
M. Islam
Jungpil Shin
M. F. Mridha
Y. Okuyama
GNN
49
19
0
24 Jul 2023
Graph Neural Network contextual embedding for Deep Learning on Tabular
  Data
Graph Neural Network contextual embedding for Deep Learning on Tabular Data
Mario Villaizán-Vallelado
Matteo Salvatori
B. Carro
Antonio J. Sánchez-Esguevillas
AI4CELMTD
43
16
0
11 Mar 2023
Generalization in quantum machine learning from few training data
Generalization in quantum machine learning from few training data
Matthias C. Caro
Hsin-Yuan Huang
M. Cerezo
Kunal Sharma
A. Sornborger
L. Cincio
Patrick J. Coles
95
379
0
09 Nov 2021
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
154
4,566
0
23 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
523
42,559
0
03 Dec 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DHGNN3DPC
234
4,361
0
06 Mar 2019
Supervised learning with quantum enhanced feature spaces
Supervised learning with quantum enhanced feature spaces
Vojtěch Havlíček
A. Córcoles
K. Temme
A. Harrow
A. Kandala
J. Chow
J. Gambetta
84
1,831
0
30 Apr 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
479
20,225
0
30 Oct 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
282
9,797
0
25 Oct 2017
Quantum machine learning: a classical perspective
Quantum machine learning: a classical perspective
C. Ciliberto
Mark Herbster
Alessandro Davide Ialongo
Massimiliano Pontil
Andrea Rocchetto
Simone Severini
Leonard Wossnig
AI4CE
74
440
0
26 Jul 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
VLM
204
2,406
0
10 Jul 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
509
15,300
0
07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
652
29,154
0
09 Sep 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
1