{"total":22,"rows":[{"id":"2110.04301","title":"Salient ImageNet: How to discover spurious features in Deep Learning?","created":"2021-10-08","cited_by_count":114,"area":null},{"id":"2111.14338","title":"Improving Deep Learning Interpretability by Saliency Guided Training","created":"2021-11-29","cited_by_count":68,"area":null},{"id":"2208.10431","title":"ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition","created":"2022-08-22","cited_by_count":63,"area":null},{"id":"2102.12567","title":"Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks","created":"2021-02-24","cited_by_count":32,"area":null},{"id":"2107.03860","title":"SSSE: Efficiently Erasing Samples from Trained Machine Learning Models","created":"2021-07-08","cited_by_count":28,"area":null},{"id":"2212.04985","title":"Understanding and Combating Robust Overfitting via Input Loss Landscape Analysis and Regularization","created":"2022-12-09","cited_by_count":22,"area":null},{"id":"2203.15566","title":"Core Risk Minimization using Salient ImageNet","created":"2022-03-28","cited_by_count":15,"area":null},{"id":"2103.00676","title":"Token-Modification Adversarial Attacks for Natural Language Processing: A Survey","created":"2021-03-01","cited_by_count":12,"area":null},{"id":"2310.00772","title":"SMOOT: Saliency Guided Mask Optimized Online Training","created":"2023-10-01","cited_by_count":8,"area":null},{"id":"2209.03415","title":"A Survey of Neural Trees","created":"2022-09-07","cited_by_count":7,"area":null},{"id":"2103.03103","title":"Interpretable Artificial Intelligence through the Lens of Feature Interaction","created":"2021-03-01","cited_by_count":5,"area":null},{"id":"2104.09073","title":"Improving Attribution Methods by Learning Submodular Functions","created":"2021-04-19","cited_by_count":5,"area":null},{"id":"2311.00858","title":"SmoothHess: ReLU Network Feature Interactions via Stein's Lemma","created":"2023-11-01","cited_by_count":5,"area":null},{"id":"2211.09859","title":"Data-Centric Debugging: mitigating model failures via targeted data collection","created":"2022-11-17","cited_by_count":3,"area":null},{"id":"2405.19013","title":"On Dissipativity of Cross-Entropy Loss in Training ResNets","created":"2024-05-29","cited_by_count":1,"area":null},{"id":"2409.11995","title":"Unraveling the Hessian: A Key to Smooth Convergence in Loss Function Landscapes","created":"2024-09-18","cited_by_count":1,"area":null},{"id":"2604.22045","title":"H-Sets: Hessian-Guided Discovery of Set-Level Feature Interactions in Image Classifiers","created":"2026-04-23","cited_by_count":1,"area":null},{"id":"2305.02375","title":"MaskSearch: Querying Image Masks at Scale","created":"2023-05-03","cited_by_count":0,"area":null},{"id":"2305.11017","title":"Deep Metric Tensor Regularized Policy Gradient","created":"2023-05-18","cited_by_count":0,"area":null},{"id":"2309.09464","title":"Reducing Adversarial Training Cost with Gradient Approximation","created":"2023-09-18","cited_by_count":0,"area":null},{"id":"2504.17655","title":"Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction","created":"2025-04-24","cited_by_count":0,"area":null},{"id":"2605.29983","title":"Improving Adversarial Robustness of Attribution via Implicit Regularization","created":"2026-05-28","cited_by_count":0,"area":null}],"next_cursor":null}