Auxiliary Classifier

Auxiliary classifiers are additional classification heads incorporated into neural networks to improve model performance and understanding. Current research focuses on leveraging auxiliary classifiers within various architectures, including Generative Adversarial Networks (GANs) and multi-task learning frameworks, to address challenges like data imbalance, mode collapse in GANs, and out-of-distribution generalization. These techniques find applications across diverse fields, such as medical image analysis, natural language processing, and cybersecurity, enhancing model robustness and interpretability while improving accuracy and efficiency in complex classification tasks. The widespread adoption of auxiliary classifiers reflects their growing importance in building more powerful and reliable machine learning models.

Papers

October 21, 2024

Contrastive Learning with Auxiliary User Detection for Identifying Activities
Wen Ge, Guanyi Mou, Emmanuel O. Agu, Kyumin Lee
Contrastive Learning Activity Recognition Generating User Activity User Representation Auxiliary Classifier

August 11, 2024

Multitask Fine-Tuning and Generative Adversarial Learning for Improved Auxiliary Classification
Christopher Sun, Abishek Satish
BERT Model Generative Adversarial BERT Embeddings BERT Architecture Auxiliary Classifier Multitask Finetuning

June 25, 2024

ET tu, CLIP? Addressing Common Object Errors for Unseen Environments
Ye Won Byun, Cathy Jiao, Shahriar Noroozizadeh, Jimin Sun, Rosa Vitiello
Single CLIP Model Generalization Visual Encoder Unseen Environment Auxiliary Classifier Episodic Training

June 20, 2024

SSAD: Self-supervised Auxiliary Detection Framework for Panoramic X-ray based Dental Disease Diagnosis
Zijian Cai, Xinquan Yang, Xuguang Li, Xiaoling Luo, Xuechen Li, Linlin Shen, He Meng, Yongqiang Deng
Self Supervised Learning Panoramic X Ray Auxiliary Classifier Dental Diagnostics

April 30, 2024

Leveraging Label Information for Stealthy Data Stealing in Vertical Federated Learning
Duanyi Yao, Songze Li, Xueluan Gong, Sizai Hou, Gaoning Pan
Vertical Federated Learning Label Information Bi Discriminator Auxiliary Classifier Attack Algorithm Malicious Attack

September 29, 2023

ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks
Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen
Graph Neural Network GNN Explanation Auxiliary Classifier GNN Explainers Generative Explanation

September 21, 2023

Adaptive Input-image Normalization for Solving the Mode Collapse Problem in GAN-based X-ray Images
Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O'Reilly
Generative Adversarial Network Medical Image Datasets X Ray Image Adaptive Normalization Mode Collapse Auxiliary Classifier

May 30, 2023

Hierarchical Multi-Instance Multi-Label Learning for Detecting Propaganda Techniques
Anni Chen, Bhuwan Dhingra
Multi Label Auxiliary Classifier Propaganda Content Propaganda Detection Rhetorical Structure Hierarchical Label Propaganda Technique Deep Multiple Instance

March 9, 2023

Open World Classification with Adaptive Negative Samples
Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin
Open World Negative Sampling Category Shift Auxiliary Classifier

October 27, 2022

Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task Learning
Eun Jung Yeo, Kwanghee Choi, Sunhee Kim, Minhwa Chung
Self Supervised Multi Task Learning Dysarthric Speech Severity Prediction Severity Classification Auxiliary Classifier

September 28, 2022

Data Augmentation using Feature Generation for Volumetric Medical Images
Khushboo Mehra, Hassan Soliman, Soumya Ranjan Sahoo
Deep Learning Model Data Augmentation Medical Imaging Medical Image Classification Feature Generation Auxiliary Classifier Volumetric Medical Synthetic Feature

September 7, 2022

Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier
Harshita Boonlia, Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Ankan Mullick
Self Supervised Learning Multi Task Distribution Datasets Distribution Detection Task Auxiliary Classifier Classification Head

June 15, 2022

A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise
Jongwoo Ko, Bongsoo Yi, Se-Young Yun
Noisy Label Label Noise Robust Training Label Smoothing Auxiliary Classifier Lipschitz Regularization

June 13, 2022

Generalizable Method for Face Anti-Spoofing with Semi-Supervised Learning
Nikolay Sergievskiy, Roman Vlasov, Roman Trusov
Convolutional Neural Network Semi Supervised Learning Face Anti Spoofing Unsupervised Pre Training Auxiliary Classifier Biometric Authentication System Generalizable Approach

June 12, 2022

Darknet Traffic Classification and Adversarial Attacks
Nhien Rust-Nguyen, Mark Stamp
Adversarial Attack Auxiliary Classifier Darknet Traffic

June 1, 2022

Interpretability Guarantees with Merlin-Arthur Classifiers
Stephan Wäldchen, Kartikey Sharma, Berkant Turan, Max Zimmer, Sebastian Pokutta
Mutual Information Auxiliary Classifier Interpretability Guarantee

April 11, 2022

Unified Speech-Text Pre-training for Speech Translation and Recognition
Yun Tang, Hongyu Gong, Ning Dong, Changhan Wang, Wei-Ning Hsu, Jiatao Gu, Alexei Baevski, Xian Li, Abdelrahman Mohamed, Michael Auli, Juan Pino
Recognition Rate Speech Translation Librispeech Speech Recognition Auxiliary Classifier Speech Text Self Supervised Speech

February 17, 2022

Point Cloud Generation with Continuous Conditioning
Larissa T. Triess, Andre Bühler, David Peter, Fabian B. Flohr, J. Marius Zöllner
Generative Model Generative Adversarial Network Generative Process Auxiliary Classifier Reliable Learning Point Cloud Generation

January 26, 2022

Arrhythmia Classification using CGAN-augmented ECG Signals
Edmond Adib, Fatemeh Afghah, John J. Prevost
Electrocardiogram Representation Auxiliary Classifier Synthetic Electrocardiogram MIT BIH Arrhythmia Electrocardiogram Generation

January 22, 2022

Explore the Expression: Facial Expression Generation using Auxiliary Classifier Generative Adversarial Network
J. Rafid Siddiqui
Generative Model Facial Expression Facial Expression Recognition Human Expression Auxiliary Classifier Facial Expression Generation Generative Artificial Intelligence Architecture

Auxiliary Classifier

Papers

Contrastive Learning with Auxiliary User Detection for Identifying Activities

Multitask Fine-Tuning and Generative Adversarial Learning for Improved Auxiliary Classification

ET tu, CLIP? Addressing Common Object Errors for Unseen Environments

SSAD: Self-supervised Auxiliary Detection Framework for Panoramic X-ray based Dental Disease Diagnosis

Leveraging Label Information for Stealthy Data Stealing in Vertical Federated Learning

ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks

Adaptive Input-image Normalization for Solving the Mode Collapse Problem in GAN-based X-ray Images

Hierarchical Multi-Instance Multi-Label Learning for Detecting Propaganda Techniques

Open World Classification with Adaptive Negative Samples

Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task Learning

Data Augmentation using Feature Generation for Volumetric Medical Images

Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier

A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise

Generalizable Method for Face Anti-Spoofing with Semi-Supervised Learning

Darknet Traffic Classification and Adversarial Attacks

Interpretability Guarantees with Merlin-Arthur Classifiers

Unified Speech-Text Pre-training for Speech Translation and Recognition

Point Cloud Generation with Continuous Conditioning

Arrhythmia Classification using CGAN-augmented ECG Signals

Explore the Expression: Facial Expression Generation using Auxiliary Classifier Generative Adversarial Network