{"total":32,"rows":[{"id":"2203.08124","title":"Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective","created":"2022-03-15","cited_by_count":57,"area":null},{"id":"2111.02625","title":"Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples","created":"2021-11-04","cited_by_count":40,"area":null},{"id":"2302.03015","title":"Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness","created":"2023-02-06","cited_by_count":36,"area":null},{"id":"2107.04570","title":"ANCER: Anisotropic Certification via Sample-wise Volume Maximization","created":"2021-07-09","cited_by_count":23,"area":null},{"id":"2305.11602","title":"Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing","created":"2023-05-19","cited_by_count":23,"area":null},{"id":"2410.16618","title":"SoK: Dataset Copyright Auditing in Machine Learning Systems","created":"2024-10-22","cited_by_count":15,"area":null},{"id":"2106.00221","title":"Concurrent Adversarial Learning for Large-Batch Training","created":"2021-06-01","cited_by_count":11,"area":null},{"id":"2210.09465","title":"Understanding CNN Fragility When Learning With Imbalanced Data","created":"2022-10-17","cited_by_count":10,"area":null},{"id":"2207.10495","title":"Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing","created":"2022-07-21","cited_by_count":8,"area":null},{"id":"2405.18979","title":"MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts","created":"2024-05-29","cited_by_count":8,"area":null},{"id":"2206.01515","title":"Understanding Deep Learning via Decision Boundary","created":"2022-06-03","cited_by_count":7,"area":null},{"id":"2210.02419","title":"Boundary-Aware Uncertainty for Feature Attribution Explainers","created":"2022-10-05","cited_by_count":6,"area":null},{"id":"2312.04542","title":"SoK: Unintended Interactions among Machine Learning Defenses and Risks","created":"2023-12-07","cited_by_count":6,"area":null},{"id":"2205.00953","title":"BERTops: Studying BERT Representations under a Topological Lens","created":"2022-05-02","cited_by_count":5,"area":null},{"id":"2310.01684","title":"Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations","created":"2023-10-02","cited_by_count":5,"area":null},{"id":"2106.13093","title":"Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods","created":"2021-06-24","cited_by_count":4,"area":null},{"id":"2108.08976","title":"ASAT: Adaptively Scaled Adversarial Training in Time Series","created":"2021-08-20","cited_by_count":2,"area":null},{"id":"2105.07831","title":"How to Explain Neural Networks: an Approximation Perspective","created":"2021-05-17","cited_by_count":1,"area":null},{"id":"2302.06925","title":"The Missing Margin: How Sample Corruption Affects Distance to the Boundary in ANNs","created":"2023-02-14","cited_by_count":1,"area":null},{"id":"2310.03927","title":"Improving classifier decision boundaries using nearest neighbors","created":"2023-10-05","cited_by_count":1,"area":null},{"id":"2503.19813","title":"Guidelines For The Choice Of The Baseline in XAI Attribution Methods","created":"2025-03-25","cited_by_count":1,"area":null},{"id":"2510.11268","title":"Exploring and Leveraging Class Vectors for Classifier Editing","created":"2025-10-13","cited_by_count":1,"area":null},{"id":"2101.06061","title":"Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds","created":"2021-01-15","cited_by_count":0,"area":null},{"id":"2106.07683","title":"Extracting Global Dynamics of Loss Landscape in Deep Learning Models","created":"2021-06-14","cited_by_count":0,"area":null},{"id":"2111.02901","title":"Certainty Volume Prediction for Unsupervised Domain Adaptation","created":"2021-11-03","cited_by_count":0,"area":null},{"id":"2211.16209","title":"The Vanishing Decision Boundary Complexity and the Strong First Component","created":"2022-11-25","cited_by_count":0,"area":null},{"id":"2409.16865","title":"Linking in Style: Understanding learned features in deep learning models","created":"2024-09-25","cited_by_count":0,"area":null},{"id":"2503.06559","title":"MMARD: Improving the Min-Max Optimization Process in Adversarial Robustness Distillation","created":"2025-03-09","cited_by_count":0,"area":null},{"id":"2504.09733","title":"Epsilon-Neighborhood Decision-Boundary Governed Estimation (EDGE) of 2D Black Box Classifier Functions","created":"2025-04-13","cited_by_count":0,"area":null},{"id":"2510.03271","title":"Decision Potential Surface: A Theoretical and Practical Approximation of Large Language Model Decision Boundary","created":"2025-09-27","cited_by_count":0,"area":null},{"id":"2602.19770","title":"The Confusion is Real: GRAPHIC -- A Network Science Approach to Confusion Matrices in Deep Learning","created":"2026-02-23","cited_by_count":0,"area":null},{"id":"2605.18908","title":"Fast and Lightweight Backdoor Detection via Head Random Probing","created":"2026-05-17","cited_by_count":0,"area":null}],"next_cursor":null}