{"total":65,"rows":[{"id":"2202.00449","title":"A Consistent and Efficient Evaluation Strategy for Attribution Methods","created":"2022-02-01","cited_by_count":102,"area":null},{"id":"2306.05268","title":"Factorized Contrastive Learning: Going Beyond Multi-view Redundancy","created":"2023-06-08","cited_by_count":75,"area":null},{"id":"2203.05818","title":"ZIN: When and How to Learn Invariance Without Environment Partition?","created":"2022-03-11","cited_by_count":58,"area":null},{"id":"2402.11137","title":"TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks","created":"2024-02-17","cited_by_count":47,"area":null},{"id":"2202.01273","title":"Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features","created":"2022-02-02","cited_by_count":27,"area":null},{"id":"2509.02859","title":"Speech DF Arena: A Leaderboard for Speech DeepFake Detection Models","created":"2025-09-02","cited_by_count":21,"area":null},{"id":"2108.12594","title":"Layer-wise Model Pruning based on Mutual Information","created":"2021-08-28","cited_by_count":19,"area":null},{"id":"2304.14252","title":"FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations","created":"2023-04-27","cited_by_count":18,"area":null},{"id":"2311.10609","title":"Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks","created":"2023-11-17","cited_by_count":18,"area":null},{"id":"2508.11666","title":"Explainable Deep Neural Network for Multimodal ECG Signals: Intermediate vs Late Fusion","created":"2025-08-06","cited_by_count":6,"area":null},{"id":"2508.14499","title":"Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes","created":"2025-08-20","cited_by_count":6,"area":null},{"id":"2105.14564","title":"Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks","created":"2021-05-30","cited_by_count":4,"area":null},{"id":"2209.05486","title":"Active Learning and Novel Model Calibration Measurements for Automated Visual Inspection in Manufacturing","created":"2022-09-12","cited_by_count":4,"area":null},{"id":"2211.00024","title":"A robust estimator of mutual information for deep learning interpretability","created":"2022-10-31","cited_by_count":4,"area":null},{"id":"2205.09060","title":"Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data","created":"2022-05-17","cited_by_count":3,"area":null},{"id":"2211.04702","title":"A survey of some recent developments in measures of association","created":"2022-11-09","cited_by_count":3,"area":null},{"id":"2309.07703","title":"Causal Entropy and Information Gain for Measuring Causal Control","created":"2023-09-14","cited_by_count":3,"area":null},{"id":"2105.03682","title":"Enhancing ensemble learning and transfer learning in multimodal data analysis by adaptive dimensionality reduction","created":"2021-05-08","cited_by_count":2,"area":null},{"id":"2108.07399","title":"Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains","created":"2021-08-17","cited_by_count":2,"area":null},{"id":"2207.08574","title":"ManiFeSt: Manifold-based Feature Selection for Small Data Sets","created":"2022-07-18","cited_by_count":2,"area":null},{"id":"2304.11237","title":"Effective Neural Network $L_0$ Regularization With BinMask","created":"2023-04-21","cited_by_count":2,"area":null},{"id":"2305.06994","title":"A statistical approach to detect sensitive features in a group fairness setting","created":"2023-05-11","cited_by_count":2,"area":null},{"id":"2306.16559","title":"Feature Selection: A perspective on inter-attribute cooperation","created":"2023-06-28","cited_by_count":2,"area":null},{"id":"2401.12644","title":"Binary Feature Mask Optimization for Feature Selection","created":"2024-01-23","cited_by_count":2,"area":null},{"id":"2402.15441","title":"Active Few-Shot Fine-Tuning","created":"2024-02-13","cited_by_count":2,"area":null},{"id":"2405.02344","title":"A Backdoor-based Explainable AI Benchmark for High Fidelity Evaluation of Attributions","created":"2024-05-02","cited_by_count":2,"area":null},{"id":"2101.04530","title":"Data augmentation and feature selection for automatic model recommendation in computational physics","created":"2021-01-12","cited_by_count":1,"area":null},{"id":"2101.07766","title":"Cost-based feature selection for network model choice","created":"2021-01-19","cited_by_count":1,"area":null},{"id":"2103.08175","title":"Feature selection for medical diagnosis: Evaluation for using a hybrid Stacked-Genetic approach in the diagnosis of heart disease","created":"2021-03-15","cited_by_count":1,"area":null},{"id":"2106.08317","title":"Active feature selection discovers minimal gene sets for classifying cell types and disease states with single-cell mRNA-seq data","created":"2021-06-15","cited_by_count":1,"area":null},{"id":"2203.04386","title":"Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data","created":"2022-03-08","cited_by_count":1,"area":null},{"id":"2304.02208","title":"PIKS: A Technique to Identify Actionable Trends for Policy-Makers Through Open Healthcare Data","created":"2023-04-05","cited_by_count":1,"area":null},{"id":"2310.10717","title":"A representation learning approach to probe for dynamical dark energy in matter power spectra","created":"2023-10-16","cited_by_count":1,"area":null},{"id":"2409.16787","title":"Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution","created":"2024-09-25","cited_by_count":1,"area":null},{"id":"2502.09810","title":"$\\Lambda$CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum","created":"2025-02-13","cited_by_count":1,"area":null},{"id":"2502.13085","title":"A Neural Difference-of-Entropies Estimator for Mutual Information","created":"2025-02-18","cited_by_count":1,"area":null},{"id":"2503.11919","title":"k-fold Subsampling based Sequential Backward Feature Elimination","created":"2025-03-14","cited_by_count":1,"area":null},{"id":"2507.20036","title":"Improving Audio Classification by Transitioning from Zero- to Few-Shot","created":"2025-07-26","cited_by_count":1,"area":null},{"id":"2508.10836","title":"SoK: Data Minimization in Machine Learning","created":"2025-08-14","cited_by_count":1,"area":null},{"id":"2606.17476","title":"Multi-Adapter PPO: A Cross-Attention Enhanced Wavelength Selection Framework for LIBS Quantitative Analysis","created":"2026-06-16","cited_by_count":1,"area":null},{"id":"2201.02008","title":"Sparsity-based Feature Selection for Anomalous Subgroup Discovery","created":"2022-01-06","cited_by_count":0,"area":null},{"id":"2201.12910","title":"Sparse Centroid-Encoder: A Nonlinear Model for Feature Selection","created":"2022-01-30","cited_by_count":0,"area":null},{"id":"2210.11954","title":"A GA-like Dynamic Probability Method With Mutual Information for Feature Selection","created":"2022-10-21","cited_by_count":0,"area":null},{"id":"2305.04883","title":"Fuzzy Gene Selection and Cancer Classification Based on Deep Learning Model","created":"2023-05-04","cited_by_count":0,"area":null},{"id":"2306.04505","title":"Hardness of Deceptive Certificate Selection","created":"2023-06-07","cited_by_count":0,"area":null},{"id":"2306.04795","title":"Feature Selection using Sparse Adaptive Bottleneck Centroid-Encoder","created":"2023-06-07","cited_by_count":0,"area":null},{"id":"2307.03902","title":"Feature selection simultaneously preserving both class and cluster structures","created":"2023-07-08","cited_by_count":0,"area":null},{"id":"2309.14768","title":"Multi-Label Feature Selection Using Adaptive and Transformed Relevance","created":"2023-09-26","cited_by_count":0,"area":null},{"id":"2405.09077","title":"Compressive Feature Selection for Remote Visual Multi-Task Inference","created":"2024-05-15","cited_by_count":0,"area":null},{"id":"2406.03824","title":"Predictability Analysis of Regression Problems via Conditional Entropy Estimations","created":"2024-06-06","cited_by_count":0,"area":null},{"id":"2501.15881","title":"Multivariate Feature Selection and Autoencoder Embeddings of Ovarian Cancer Clinical and Genetic Data","created":"2025-01-27","cited_by_count":0,"area":null},{"id":"2503.15016","title":"Manifold Learning for Hyperspectral Images","created":"2025-03-19","cited_by_count":0,"area":null},{"id":"2509.18986","title":"Remaining Time Prediction in Outbound Warehouse Processes: A Case Study (Short Paper)","created":"2025-09-23","cited_by_count":0,"area":null},{"id":"2510.03345","title":"Pilot selection in the era of Virtual reality: algorithms for accurate and interpretable machine learning models","created":"2025-10-02","cited_by_count":0,"area":null},{"id":"2510.10810","title":"Aegis: A Correlation-Based Data Masking Advisor for Data Sharing Ecosystems","created":"2025-10-12","cited_by_count":0,"area":null},{"id":"2601.17007","title":"Analysis of voice recordings features for Classification of Parkinson's Disease","created":"2026-01-14","cited_by_count":0,"area":null},{"id":"2602.02025","title":"Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2602.17350","title":"Shortcut learning in geometric knot classification","created":"2026-02-19","cited_by_count":0,"area":null},{"id":"2602.19473","title":"The generalized underlap coefficient with an application in clustering","created":"2026-02-23","cited_by_count":0,"area":null},{"id":"2603.19840","title":"Explainable cluster analysis: a bagging approach","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2604.26834","title":"Quantum Feature Selection with Higher-Order Binary Optimization on Trapped-Ion Hardware","created":"2026-04-29","cited_by_count":0,"area":null},{"id":"2604.28038","title":"Early Detection of Water Stress by Plant Electrophysiology: Machine Learning for Irrigation Management","created":"2026-04-30","cited_by_count":0,"area":null},{"id":"2605.21776","title":"PromptNCE: Conditional Probabilities and PMI Using Only LLMs and Contrastive Estimation Prompts","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2606.09934","title":"nCMD: Benign-Anchored Feature Selection for Imbalanced Network Intrusion Detection","created":"2026-06-07","cited_by_count":0,"area":null},{"id":"2607.13203","title":"BARS: Benign-Anchored Ranking and Selection for False Alarm Reduction in Network Intrusion Detection","created":"2026-07-14","cited_by_count":0,"area":null}],"next_cursor":null}