{"total":103,"rows":[{"id":"2107.07436","title":"FastSHAP: Real-Time Shapley Value Estimation","created":"2021-07-15","cited_by_count":125,"area":null},{"id":"2111.09259","title":"Acquisition of Chess Knowledge in AlphaZero","created":"2021-11-17","cited_by_count":123,"area":null},{"id":"2103.08907","title":"BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation","created":"2021-03-16","cited_by_count":105,"area":null},{"id":"2110.06530","title":"Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation","created":"2021-10-13","cited_by_count":65,"area":null},{"id":"2303.08446","title":"Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification","created":"2023-03-15","cited_by_count":54,"area":null},{"id":"2304.10131","title":"Learning Bottleneck Concepts in Image Classification","created":"2023-04-20","cited_by_count":49,"area":null},{"id":"2112.09899","title":"Improving Subgraph Recognition with Variational Graph Information Bottleneck","created":"2021-12-18","cited_by_count":45,"area":null},{"id":"2103.16886","title":"Neural Response Interpretation through the Lens of Critical Pathways","created":"2021-03-31","cited_by_count":32,"area":null},{"id":"2204.02735","title":"Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck","created":"2022-04-06","cited_by_count":30,"area":null},{"id":"2205.10435","title":"Towards Better Understanding Attribution Methods","created":"2022-05-20","cited_by_count":28,"area":null},{"id":"2110.04392","title":"The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results","created":"2021-10-08","cited_by_count":27,"area":null},{"id":"2301.07002","title":"Opti-CAM: Optimizing saliency maps for interpretability","created":"2023-01-17","cited_by_count":25,"area":null},{"id":"2409.09951","title":"Optimal ablation for interpretability","created":"2024-09-16","cited_by_count":25,"area":null},{"id":"2202.11479","title":"Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF","created":"2022-02-23","cited_by_count":23,"area":null},{"id":"2108.12197","title":"Translation Error Detection as Rationale Extraction","created":"2021-08-27","cited_by_count":22,"area":null},{"id":"2210.04982","title":"REV: Information-Theoretic Evaluation of Free-Text Rationales","created":"2022-10-10","cited_by_count":22,"area":null},{"id":"2203.02269","title":"Do Explanations Explain? Model Knows Best","created":"2022-03-04","cited_by_count":20,"area":null},{"id":"2501.15638","title":"A Comprehensive Survey on Self-Interpretable Neural Networks","created":"2025-01-26","cited_by_count":18,"area":null},{"id":"2110.01471","title":"Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information","created":"2021-10-04","cited_by_count":17,"area":null},{"id":"2304.01811","title":"HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation","created":"2023-04-04","cited_by_count":17,"area":null},{"id":"2102.07805","title":"Integrated Grad-CAM: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks via Integrated Gradient-Based Scoring","created":"2021-02-15","cited_by_count":16,"area":null},{"id":"2106.10938","title":"A Game-Theoretic Taxonomy of Visual Concepts in DNNs","created":"2021-06-21","cited_by_count":16,"area":null},{"id":"2103.12300","title":"Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration","created":"2021-03-23","cited_by_count":15,"area":null},{"id":"2203.11131","title":"Towards Explainable Evaluation Metrics for Natural Language Generation","created":"2022-03-21","cited_by_count":15,"area":null},{"id":"2104.04488","title":"Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks","created":"2021-04-09","cited_by_count":12,"area":null},{"id":"2112.10161","title":"RELAX: Representation Learning Explainability","created":"2021-12-19","cited_by_count":12,"area":null},{"id":"2212.06872","title":"Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods","created":"2022-12-13","cited_by_count":12,"area":null},{"id":"2102.07799","title":"Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks","created":"2021-02-15","cited_by_count":11,"area":null},{"id":"2303.01506","title":"Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions","created":"2023-03-02","cited_by_count":11,"area":null},{"id":"2211.02912","title":"New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound","created":"2022-11-05","cited_by_count":10,"area":null},{"id":"2303.04731","title":"Towards Trust of Explainable AI in Thyroid Nodule Diagnosis","created":"2023-03-08","cited_by_count":10,"area":null},{"id":"2103.15429","title":"Efficient Explanations from Empirical Explainers","created":"2021-03-29","cited_by_count":9,"area":null},{"id":"2104.00411","title":"Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features","created":"2021-04-01","cited_by_count":9,"area":null},{"id":"2303.08632","title":"Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images","created":"2023-03-15","cited_by_count":9,"area":null},{"id":"2407.11771","title":"XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach","created":"2024-07-16","cited_by_count":8,"area":null},{"id":"2211.17264","title":"Interpretability with full complexity by constraining feature information","created":"2022-11-30","cited_by_count":7,"area":null},{"id":"2108.03418","title":"Information Bottleneck Approach to Spatial Attention Learning","created":"2021-08-07","cited_by_count":6,"area":null},{"id":"2112.02747","title":"Making a Bird AI Expert Work for You and Me","created":"2021-12-06","cited_by_count":6,"area":null},{"id":"2302.02016","title":"Improving Interpretability via Explicit Word Interaction Graph Layer","created":"2023-02-03","cited_by_count":6,"area":null},{"id":"2312.07822","title":"Prototypical Self-Explainable Models Without Re-training","created":"2023-12-13","cited_by_count":6,"area":null},{"id":"2507.04388","title":"Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers","created":"2025-07-06","cited_by_count":6,"area":null},{"id":"2211.09878","title":"Reducing Hallucinations in Neural Machine Translation with Feature Attribution","created":"2022-11-17","cited_by_count":5,"area":null},{"id":"2305.07132","title":"Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization","created":"2023-05-11","cited_by_count":5,"area":null},{"id":"2502.17022","title":"Class-Dependent Perturbation Effects in Evaluating Time Series Attributions","created":"2025-02-24","cited_by_count":5,"area":null},{"id":"2505.07496","title":"DocVXQA: Context-Aware Visual Explanations for Document Question Answering","created":"2025-05-12","cited_by_count":5,"area":null},{"id":"2101.07312","title":"Benchmarking Perturbation-based Saliency Maps for Explaining Atari Agents","created":"2021-01-18","cited_by_count":4,"area":null},{"id":"2104.02869","title":"Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis","created":"2021-04-07","cited_by_count":4,"area":null},{"id":"2110.02395","title":"Causal Explanations of Structural Causal Models","created":"2021-10-05","cited_by_count":4,"area":null},{"id":"2111.09635","title":"Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy","created":"2021-11-18","cited_by_count":4,"area":null},{"id":"2203.16273","title":"Interpretable Vertebral Fracture Diagnosis","created":"2022-03-30","cited_by_count":4,"area":null},{"id":"2207.04812","title":"A clinically motivated self-supervised approach for content-based image retrieval of CT liver images","created":"2022-07-11","cited_by_count":4,"area":null},{"id":"2210.05883","title":"AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning","created":"2022-10-12","cited_by_count":4,"area":null},{"id":"2303.11884","title":"Better Understanding Differences in Attribution Methods via Systematic Evaluations","created":"2023-03-21","cited_by_count":4,"area":null},{"id":"2307.16227","title":"InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer","created":"2023-07-30","cited_by_count":4,"area":null},{"id":"2104.06629","title":"Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution","created":"2021-04-14","cited_by_count":3,"area":null},{"id":"2204.03528","title":"Visualizing Deep Neural Networks with Topographic Activation Maps","created":"2022-04-07","cited_by_count":3,"area":null},{"id":"2206.09548","title":"Variational Distillation for Multi-View Learning","created":"2022-06-20","cited_by_count":3,"area":null},{"id":"2211.08425","title":"A Rigorous Study Of The Deep Taylor Decomposition","created":"2022-11-14","cited_by_count":3,"area":null},{"id":"2212.03747","title":"Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review","created":"2022-12-07","cited_by_count":3,"area":null},{"id":"2310.06514","title":"AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments","created":"2023-10-10","cited_by_count":3,"area":null},{"id":"2502.14889","title":"Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability","created":"2025-02-16","cited_by_count":3,"area":null},{"id":"2511.10439","title":"Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration","created":"2025-11-13","cited_by_count":3,"area":null},{"id":"2109.06181","title":"When Stability meets Sufficiency: Informative Explanations that do not Overwhelm","created":"2021-09-13","cited_by_count":2,"area":null},{"id":"2110.01571","title":"Causal Representation Learning for Context-Aware Face Transfer","created":"2021-10-04","cited_by_count":2,"area":null},{"id":"2303.14608","title":"Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability","created":"2023-03-26","cited_by_count":2,"area":null},{"id":"2305.19689","title":"Assessing Word Importance Using Models Trained for Semantic Tasks","created":"2023-05-31","cited_by_count":2,"area":null},{"id":"2403.00869","title":"Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling","created":"2024-03-01","cited_by_count":2,"area":null},{"id":"2404.14996","title":"CA-Stream: Attention-based pooling for interpretable image recognition","created":"2024-04-23","cited_by_count":2,"area":null},{"id":"2407.05616","title":"Explainable Image Recognition via Enhanced Slot-attention Based Classifier","created":"2024-07-08","cited_by_count":2,"area":null},{"id":"2503.13429","title":"Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning","created":"2025-03-17","cited_by_count":2,"area":null},{"id":"2505.19820","title":"InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory","created":"2025-05-26","cited_by_count":2,"area":null},{"id":"2506.11790","title":"Why Do Class-Dependent Evaluation Effects Occur with Time Series Feature Attributions? A Synthetic Data Investigation","created":"2025-06-13","cited_by_count":2,"area":null},{"id":"2508.07636","title":"Attribution Explanations for Deep Neural Networks: A Theoretical Perspective","created":"2025-08-11","cited_by_count":2,"area":null},{"id":"2512.22102","title":"Explainable Multimodal Regression via Information Decomposition","created":"2025-12-26","cited_by_count":2,"area":null},{"id":"2109.04320","title":"Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption","created":"2021-09-09","cited_by_count":1,"area":null},{"id":"2308.08949","title":"A Dual-Perspective Approach to Evaluating Feature Attribution Methods","created":"2023-08-17","cited_by_count":1,"area":null},{"id":"2401.09900","title":"XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection","created":"2024-01-18","cited_by_count":1,"area":null},{"id":"2402.18145","title":"Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis","created":"2024-02-28","cited_by_count":1,"area":null},{"id":"2402.19142","title":"ProtoP-OD: Explainable Object Detection with Prototypical Parts","created":"2024-02-29","cited_by_count":1,"area":null},{"id":"2403.06961","title":"Explainable Transformer Prototypes for Medical Diagnoses","created":"2024-03-11","cited_by_count":1,"area":null},{"id":"2403.10098","title":"DiffMAC: Diffusion Manifold Hallucination Correction for High Generalization Blind Face Restoration","created":"2024-03-15","cited_by_count":1,"area":null},{"id":"2410.03964","title":"Variational Language Concepts for Interpreting Foundation Language Models","created":"2024-10-04","cited_by_count":1,"area":null},{"id":"2501.16889","title":"Extending Information Bottleneck Attribution to Video Sequences","created":"2025-01-28","cited_by_count":1,"area":null},{"id":"2507.14604","title":"Understanding Matching Mechanisms in Cross-Encoders","created":"2025-07-19","cited_by_count":1,"area":null},{"id":"2507.22017","title":"Cyst-X: A Multi-Center MRI Benchmark and Federated Learning Framework for Malignancy-Risk Stratification of Pancreatic Cystic Neoplasm","created":"2025-07-29","cited_by_count":1,"area":null},{"id":"2602.04784","title":"From independent patches to coordinated attention: Controlling information flow in vision transformers","created":"2026-02-04","cited_by_count":1,"area":null},{"id":"2103.15114","title":"Explaining Representation by Mutual Information","created":"2021-03-28","cited_by_count":0,"area":null},{"id":"2207.04969","title":"From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process","created":"2022-07-11","cited_by_count":0,"area":null},{"id":"2211.12702","title":"Evaluating Feature Attribution Methods for Electrocardiogram","created":"2022-11-23","cited_by_count":0,"area":null},{"id":"2308.15063","title":"Learning Cross-modality Information Bottleneck Representation for Heterogeneous Person Re-Identification","created":"2023-08-29","cited_by_count":0,"area":null},{"id":"2401.09518","title":"On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations","created":"2024-01-17","cited_by_count":0,"area":null},{"id":"2406.00532","title":"Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniques","created":"2024-06-01","cited_by_count":0,"area":null},{"id":"2406.02980","title":"Tensor Polynomial Additive Model","created":"2024-06-05","cited_by_count":0,"area":null},{"id":"2410.23072","title":"CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models","created":"2024-10-30","cited_by_count":0,"area":null},{"id":"2506.19630","title":"Why Uncertainty Calibration Matters for Reliable Perturbation-based Explanations","created":"2025-06-24","cited_by_count":0,"area":null},{"id":"2509.19340","title":"Joint Channel Estimation and Computation Offloading in Fluid Antenna-assisted MEC Networks","created":"2025-09-16","cited_by_count":0,"area":null},{"id":"2511.01411","title":"Extremal Contours: Gradient-driven contours for compact visual attribution","created":"2025-11-03","cited_by_count":0,"area":null},{"id":"2512.07010","title":"Always Keep Your Promises: A Model-Agnostic Attribution Algorithm for Neural Networks","created":"2025-12-07","cited_by_count":0,"area":null},{"id":"2602.17107","title":"Owen-based Semantics and Hierarchy-Aware Explanation (O-Shap)","created":"2026-02-19","cited_by_count":0,"area":null},{"id":"2603.25251","title":"Does Explanation Correctness Matter? Linking Computational XAI Evaluation to Human Understanding","created":"2026-03-26","cited_by_count":0,"area":null}],"next_cursor":"100"}