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Constrained Optimization to Train Neural Networks on Critical and
  Under-Represented Classes
v1v2v3v4 (latest)

Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes

21 February 2021
Sara Sangalli
Ertunc Erdil
A. Hoetker
O. Donati
E. Konukoglu
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes"

15 / 15 papers shown
Title
What Time Tells Us? An Explorative Study of Time Awareness Learned from Static Images
What Time Tells Us? An Explorative Study of Time Awareness Learned from Static Images
Dongheng Lin
Han Hu
Jianbo Jiao
99
0
0
23 Mar 2025
The inexact power augmented Lagrangian method for constrained nonconvex
  optimization
The inexact power augmented Lagrangian method for constrained nonconvex optimization
Alexander Bodard
Konstantinos A. Oikonomidis
Emanuel Laude
Panagiotis Patrinos
110
2
0
26 Oct 2024
Robust Calibration of Large Vision-Language Adapters
Robust Calibration of Large Vision-Language Adapters
Balamurali Murugesan
Julio Silva-Rodríguez
Ismail Ben Ayed
Jose Dolz
OODDVLM
134
17
0
18 Jul 2024
WANCO: Weak Adversarial Networks for Constrained Optimization problems
WANCO: Weak Adversarial Networks for Constrained Optimization problems
Gang Bao
Dong Wang
Boyi Zou
133
1
0
04 Jul 2024
A Two-Stage Training Method for Modeling Constrained Systems With Neural
  Networks
A Two-Stage Training Method for Modeling Constrained Systems With Neural Networks
C. Coelho
M. F. P. Costa
L. L. Ferrás
82
1
0
05 Mar 2024
Geometry-Informed Neural Networks
Geometry-Informed Neural Networks
Arturs Berzins
Andreas Radler
Eric Volkmann
Sebastian Sanokowski
Sepp Hochreiter
Johannes Brandstetter
GANAI4CE
187
4
0
21 Feb 2024
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
Julio Silva-Rodríguez
Sina Hajimiri
Ismail Ben Ayed
Jose Dolz
VLM
118
46
0
20 Dec 2023
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks
Thomas Paniagua
Ryan Grainger
Tianfu Wu
AAML
91
0
0
12 Dec 2023
Achieving Constraints in Neural Networks: A Stochastic Augmented
  Lagrangian Approach
Achieving Constraints in Neural Networks: A Stochastic Augmented Lagrangian Approach
Diogo Mateus Lavado
Cláudia Soares
Alessandra Micheletti
79
1
0
25 Oct 2023
Expert load matters: operating networks at high accuracy and low manual
  effort
Expert load matters: operating networks at high accuracy and low manual effort
Sara Sangalli
Ertunc Erdil
E. Konukoglu
100
6
0
09 Aug 2023
Ranking Regularization for Critical Rare Classes: Minimizing False
  Positives at a High True Positive Rate
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
Kiarash Mohammadi
He Zhao
Mengyao Zhai
Frederick Tung
103
4
0
31 Mar 2023
Class Adaptive Network Calibration
Class Adaptive Network Calibration
Bingyuan Liu
Jérôme Rony
Adrian Galdran
Jose Dolz
Ismail Ben Ayed
118
12
0
28 Nov 2022
Composite Score for Anomaly Detection in Imbalanced Real-World
  Industrial Dataset
Composite Score for Anomaly Detection in Imbalanced Real-World Industrial Dataset
Arnaud Bougaham
M. Adoui
Isabelle Linden
Benoit Frénay
52
7
0
25 Nov 2022
Training OOD Detectors in their Natural Habitats
Training OOD Detectors in their Natural Habitats
Julian Katz-Samuels
Julia B. Nakhleh
Robert D. Nowak
Yixuan Li
OODD
136
94
0
07 Feb 2022
Inexact bilevel stochastic gradient methods for constrained and
  unconstrained lower-level problems
Inexact bilevel stochastic gradient methods for constrained and unconstrained lower-level problems
Tommaso Giovannelli
G. Kent
Luis Nunes Vicente
151
12
0
01 Oct 2021
1