{"total":23,"rows":[{"id":"2401.02013","title":"SwitchTab: Switched Autoencoders Are Effective Tabular Learners","created":"2024-01-04","cited_by_count":38,"area":null},{"id":"2403.17155","title":"Task-Agnostic Detector for Insertion-Based Backdoor Attacks","created":"2024-03-25","cited_by_count":23,"area":null},{"id":"2308.00247","title":"Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review","created":"2023-08-01","cited_by_count":17,"area":null},{"id":"2302.03225","title":"Efficient XAI Techniques: A Taxonomic Survey","created":"2023-02-07","cited_by_count":14,"area":null},{"id":"2201.01247","title":"Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients","created":"2022-01-04","cited_by_count":12,"area":null},{"id":"2406.06081","title":"An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions","created":"2024-06-10","cited_by_count":11,"area":null},{"id":"2209.15409","title":"Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions","created":"2022-09-30","cited_by_count":7,"area":null},{"id":"2209.09688","title":"Sparse Vicious Attacks on Graph Neural Networks","created":"2022-09-20","cited_by_count":5,"area":null},{"id":"2502.05210","title":"Regression and Forecasting of U.S. Stock Returns Based on LSTM","created":"2025-02-03","cited_by_count":4,"area":null},{"id":"2305.16532","title":"Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy Distillation","created":"2023-05-25","cited_by_count":3,"area":null},{"id":"2308.03542","title":"A Transfer Learning Framework for Proactive Ramp Metering Performance Assessment","created":"2023-08-07","cited_by_count":3,"area":null},{"id":"2403.11642","title":"Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring","created":"2024-03-18","cited_by_count":3,"area":null},{"id":"2310.08909","title":"Evading Community Detection via Counterfactual Neighborhood Search","created":"2023-10-13","cited_by_count":2,"area":null},{"id":"2308.12367","title":"SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies","created":"2023-08-23","cited_by_count":1,"area":null},{"id":"2210.03269","title":"Multi-agent Deep Covering Skill Discovery","created":"2022-10-07","cited_by_count":0,"area":null},{"id":"2307.09673","title":"What's meant by explainable model: A Scoping Review","created":"2023-07-18","cited_by_count":0,"area":null},{"id":"2311.00523","title":"Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning","created":"2023-11-01","cited_by_count":0,"area":null},{"id":"2311.07797","title":"Explainable History Distillation by Marked Temporal Point Process","created":"2023-11-13","cited_by_count":0,"area":null},{"id":"2502.09193","title":"Countering Overfitting with Counterfactual Examples","created":"2025-02-13","cited_by_count":0,"area":null},{"id":"2504.19027","title":"DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning","created":"2025-04-26","cited_by_count":0,"area":null},{"id":"2505.23225","title":"Generalizability vs. Counterfactual Explainability Trade-Off","created":"2025-05-29","cited_by_count":0,"area":null},{"id":"2602.04360","title":"Counterfactual Explanations for Hypergraph Neural Networks","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2606.17405","title":"Treatment Response Optimized Clinical Decision Support AI System via Digital Twin Simulation","created":"2026-06-16","cited_by_count":0,"area":null}],"next_cursor":null}