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Robust classification

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Showing 76–100 of 295 papers

TitleStatusHype
Machine Learning Approaches to Vocal Register Classification in Contemporary Male Pop Music—0
Adversarial Training with Bi-directional Likelihood Regularization for Visual Classification—0
Deep-RBF Networks Revisited: Robust Classification with Rejection—0
A Robust Classifier Under Missing-Not-At-Random Sample Selection Bias—0
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification—0
forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction—0
A semiparametric instrumental variable approach to optimal treatment regimes under endogeneity—0
Detecting Calls to Action in Multimodal Content: Analysis of the 2021 German Federal Election Campaign on Instagram—0
Gradient Concealment: Free Lunch for Defending Adversarial Attacks—0
Generating Hard Examples for Pixel-wise Classification—0
Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets—0
A Finer Calibration Analysis for Adversarial Robustness—0
Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification—0
Does Adversarial Oversampling Help us?—0
Domain Adaptation Broad Learning System Based on Locally Linear Embedding—0
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features—0
Double Backpropagation for Training Autoencoders against Adversarial Attack—0
Decoding visemes: improving machine lipreading—0
Efficient and Robust Classification for Sparse Attacks—0
FaFCNN: A General Disease Classification Framework Based on Feature Fusion Neural Networks—0
Exploiting GPT-4 Vision for Zero-shot Point Cloud Understanding—0
Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling—0
Extended target tracking utilizing machine-learning software -- with applications to animal classification—0
FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections—0
Data-Driven Mitigation of Adversarial Text Perturbation—0
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