Discriminative Classifier

Discriminative classifiers aim to directly model the decision boundary between different classes, optimizing for accurate classification rather than explicitly modeling data distributions. Current research explores diverse architectures, including hierarchical mixtures of classifiers for compositional data and the integration of normalizing flows to improve semi-supervised learning and address inherent biases in pseudo-labeling. These advancements are crucial for applications ranging from spam detection and image recognition to structural health monitoring and legal challenges to algorithmic bias, improving both model accuracy and fairness.

Papers

November 12, 2024

Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution
Andreas Floros, Seyed-Mohsen Moosavi-Dezfooli, Pier Luigi Dragotti
Diffusion Model Diffusion Explainer Pre Trained Diffusion Model Handwritten Trajectory Temporal Dynamic SHUSS Root Exploration Term Diffusion Trajectory Discriminative Classifier

May 2, 2024

Hierarchical mixture of discriminative Generalized Dirichlet classifiers
Elvis Togban, Djemel Ziou
Compositional Data Hierarchical Mixture Dirichlet Process Mixture Model Ordered Matrix Dirichlet Discriminative Classifier

April 22, 2024

Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms
Hilde Weerts, Aislinn Kelly-Lyth, Reuben Binns, Jeremias Adams-Prassl
New Framework Optimization Proxy Algorithmic Decision Making Discriminative Classifier Direct Discrimination

November 17, 2022

NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
Zhongying Deng, Rihuan Ke, Carola-Bibiane Schonlieb, Angelica I Aviles-Rivero
Semi Supervised Learning Pseudo Label Normalizing Flow Discriminative Classifier

July 19, 2022

Few-shot Open-set Recognition Using Background as Unknowns
Nan Song, Chi Zhang, Guosheng Lin
Unseen Class Background Knowledge Unknown Unknown Closed Set Shot Open Set Recognition Discriminative Classifier

June 23, 2022

Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers
Aidan J. Hughes, Paul Gardner, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
Active Learning Decision Making Structural Health Monitoring Discriminative Classifier

January 3, 2022

Deriving discriminative classifiers from generative models
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
Generative Model Discriminative Model Naive Bayes Bayes Classifier Generative Classifier Discriminative Classifier

Discriminative Classifier

Papers

Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution

Hierarchical mixture of discriminative Generalized Dirichlet classifiers

Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms

NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning

Few-shot Open-set Recognition Using Background as Unknowns

Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers

Deriving discriminative classifiers from generative models