:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	da Silva, Natalia, Cook, Dianne, Lee, Eun-Kyung
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2602.21130
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interactive Graphics for Visually Diagnosing Forest Classifiers in R
by: da Silva, Natalia, et al.
Published: (2017)

Exploring Local Explanations of Nonlinear Models Using Animated Linear Projections
by: Spyrison, Nicholas, et al.
Published: (2022)

A Clustering Algorithm to Organize Satellite Hotspot Data for the Purpose of Tracking Bushfires Remotely
by: Li, Weihao, et al.
Published: (2023)

Squintability and Other Metrics for Assessing Projection Pursuit Indexes, and Guiding Optimization Choices
by: Zhang, H. Sherry, et al.
Published: (2024)

Projection Pursuit Density Ratio Estimation
by: Wang, Meilin, et al.
Published: (2025)

Performance is not enough: the story told by a Rashomon quartet
by: Biecek, Przemyslaw, et al.
Published: (2023)

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit
by: Eppert, Martin, et al.
Published: (2025)

Robustness Quantification and Uncertainty Quantification: Comparing Two Methods for Assessing the Reliability of Classifier Predictions
by: Detavernier, Adrián, et al.
Published: (2026)

Graph Structure Based Data Augmentation Method
by: Kim, Kyung Geun, et al.
Published: (2022)

Contextual Knowledge Pursuit for Faithful Visual Synthesis
by: Luo, Jinqi, et al.
Published: (2023)

Anomaly Detection and Improvement of Clusters using Enhanced K-Means Algorithm
by: Shorewala, Vardhan, et al.
Published: (2025)

EnergyLens: Predictive Energy-Aware Exploration for Multi-GPU LLM Inference Optimization
by: Song, Zhiye, et al.
Published: (2026)

Automated Assessment of Residual Plots with Computer Vision Models
by: Li, Weihao, et al.
Published: (2024)

Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery
by: Lee, Kyung-hwan, et al.
Published: (2024)

Reward Weighted Classifier-Free Guidance as Policy Improvement in Autoregressive Models
by: Peysakhovich, Alexander, et al.
Published: (2026)

Group Projected Subspace Pursuit for Block Sparse Signal Reconstruction: Convergence Analysis and Applications
by: He, Roy Y., et al.
Published: (2024)

Learning Short-Term and Long-Term Patterns of High-Order Dynamics in Real-World Networks
by: Ko, Yunyong, et al.
Published: (2025)

Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease
by: Kim, So Yeon, et al.
Published: (2024)

RuleExplorer: A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers
by: Li, Zhen, et al.
Published: (2024)

Learning Neural Networks by Neuron Pursuit
by: Kumar, Akshay, et al.
Published: (2025)

Sharp Convergence Rates for Matching Pursuit
by: Klusowski, Jason M., et al.
Published: (2023)

Contrast-CAT: Contrasting Activations for Enhanced Interpretability in Transformer-based Text Classifiers
by: Han, Sungmin, et al.
Published: (2025)

phepy: Visual Benchmarks and Improvements for Out-of-Distribution Detectors
by: Tyree, Juniper, et al.
Published: (2025)

Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks
by: Lee, Kyung-hwan, et al.
Published: (2025)

Enhanced Conditional Generation of Double Perovskite by Knowledge-Guided Language Model Feedback
by: Lee, Inhyo, et al.
Published: (2025)

Reinforcement Learning applied to Insurance Portfolio Pursuit
by: Young, Edward James, et al.
Published: (2024)

Robust Gaussian Processes via Relevance Pursuit
by: Ament, Sebastian, et al.
Published: (2024)

Learned Controllers for Agile Quadrotors in Pursuit-Evasion Games
by: Roncero, Alejandro Sanchez, et al.
Published: (2025)

From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit
by: Costa, Valérie, et al.
Published: (2025)

Evaluating Sparse Autoencoders: From Shallow Design to Matching Pursuit
by: Costa, Valérie, et al.
Published: (2025)

Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
by: Gohar, Usman, et al.
Published: (2024)

Best Transition Matrix Esitimation or Best Label Noise Robustness Classifier? Two Possible Methods to Enhance the Performance of T-revision
by: Liu, Haixu, et al.
Published: (2025)

BAPE: Learning an Explicit Bayes Classifier for Long-tailed Visual Recognition
by: Du, Chaoqun, et al.
Published: (2025)

Boosting, Voting Classifiers and Randomized Sample Compression Schemes
by: da Cunha, Arthur, et al.
Published: (2024)

The Pursuit of Diversity: Multi-Objective Testing of Deep Reinforcement Learning Agents
by: Bartlett, Antony, et al.
Published: (2025)

The Over-Certainty Phenomenon in Modern Test-Time Adaptation Algorithms
by: Amin, Fin, et al.
Published: (2024)

Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
by: Guimard, Quentin, et al.
Published: (2025)

An Imitative Reinforcement Learning Framework for Pursuit-Lock-Launch Missions
by: Li, Siyuan, et al.
Published: (2024)

Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers
by: Cha, Sungmin, et al.
Published: (2023)

Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse
by: Queeney, James, et al.
Published: (2022)