{"total":60,"rows":[{"id":"2104.13369","title":"Explaining in Style: Training a GAN to explain a classifier in StyleSpace","created":"2021-04-27","cited_by_count":122,"area":null},{"id":"2112.02902","title":"Interpretable Image Classification with Differentiable Prototypes Assignment","created":"2021-12-06","cited_by_count":97,"area":null},{"id":"2105.14944","title":"The effectiveness of feature attribution methods and its correlation with automatic evaluation scores","created":"2021-05-31","cited_by_count":88,"area":null},{"id":"2207.09615","title":"Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capability","created":"2022-07-20","cited_by_count":46,"area":null},{"id":"2306.09346","title":"Rosetta Neurons: Mining the Common Units in a Model Zoo","created":"2023-06-15","cited_by_count":46,"area":null},{"id":"2111.09094","title":"STEEX: Steering Counterfactual Explanations with Semantics","created":"2021-11-17","cited_by_count":40,"area":null},{"id":"2103.13859","title":"Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks","created":"2021-03-25","cited_by_count":36,"area":null},{"id":"2301.12276","title":"ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts","created":"2023-01-28","cited_by_count":33,"area":null},{"id":"2203.12892","title":"Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals","created":"2022-03-24","cited_by_count":30,"area":null},{"id":"2106.10649","title":"CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency","created":"2021-06-20","cited_by_count":28,"area":null},{"id":"2205.10435","title":"Towards Better Understanding Attribution Methods","created":"2022-05-20","cited_by_count":28,"area":null},{"id":"2211.03064","title":"ViT-CX: Causal Explanation of Vision Transformers","created":"2022-11-06","cited_by_count":28,"area":null},{"id":"2211.12380","title":"OCTET: Object-aware Counterfactual Explanations","created":"2022-11-22","cited_by_count":28,"area":null},{"id":"2308.08162","title":"Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations","created":"2023-08-16","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":"2303.07811","title":"ICICLE: Interpretable Class Incremental Continual Learning","created":"2023-03-14","cited_by_count":24,"area":null},{"id":"2108.10612","title":"ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification","created":"2021-08-24","cited_by_count":22,"area":null},{"id":"2111.04927","title":"Self-Interpretable Model with TransformationEquivariant Interpretation","created":"2021-11-09","cited_by_count":21,"area":null},{"id":"2203.02269","title":"Do Explanations Explain? Model Knows Best","created":"2022-03-04","cited_by_count":20,"area":null},{"id":"2110.11589","title":"Text Counterfactuals via Latent Optimization and Shapley-Guided Search","created":"2021-10-22","cited_by_count":16,"area":null},{"id":"2501.11309","title":"Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation","created":"2025-01-20","cited_by_count":15,"area":null},{"id":"2204.06577","title":"OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data","created":"2022-04-13","cited_by_count":13,"area":null},{"id":"2103.14332","title":"Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation","created":"2021-03-26","cited_by_count":12,"area":null},{"id":"2205.13282","title":"On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition","created":"2022-05-26","cited_by_count":10,"area":null},{"id":"2206.08500","title":"What do navigation agents learn about their environment?","created":"2022-06-17","cited_by_count":8,"area":null},{"id":"2207.11175","title":"Explaining Dynamic Graph Neural Networks via Relevance Back-propagation","created":"2022-07-22","cited_by_count":8,"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":"2202.01107","title":"Keyword localisation in untranscribed speech using visually grounded speech models","created":"2022-02-02","cited_by_count":7,"area":null},{"id":"2406.05090","title":"Provably Better Explanations with Optimized Aggregation of Feature Attributions","created":"2024-06-07","cited_by_count":6,"area":null},{"id":"2302.05294","title":"MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope","created":"2023-01-08","cited_by_count":5,"area":null},{"id":"2402.10039","title":"Feature Accentuation: Revealing 'What' Features Respond to in Natural Images","created":"2024-02-15","cited_by_count":5,"area":null},{"id":"2203.07861","title":"Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series","created":"2022-03-14","cited_by_count":4,"area":null},{"id":"2208.06175","title":"The Weighting Game: Evaluating Quality of Explainability Methods","created":"2022-08-12","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":"2408.05411","title":"How Does Audio Influence Visual Attention in Omnidirectional Videos? Database and Model","created":"2024-08-10","cited_by_count":4,"area":null},{"id":"2602.06613","title":"DAVE: Distribution-aware Attribution via ViT Gradient Decomposition","created":"2026-02-06","cited_by_count":4,"area":null},{"id":"2109.00222","title":"Spatio-Temporal Perturbations for Video Attribution","created":"2021-09-01","cited_by_count":3,"area":null},{"id":"2102.04247","title":"Convolutional Neural Network Interpretability with General Pattern Theory","created":"2021-02-05","cited_by_count":2,"area":null},{"id":"2106.13933","title":"Inverting and Understanding Object Detectors","created":"2021-06-26","cited_by_count":2,"area":null},{"id":"2207.12859","title":"Adaptive occlusion sensitivity analysis for visually explaining video recognition networks","created":"2022-07-26","cited_by_count":2,"area":null},{"id":"2303.17836","title":"Rethinking interpretation: Input-agnostic saliency mapping of deep visual classifiers","created":"2023-03-31","cited_by_count":2,"area":null},{"id":"2310.04519","title":"SPADE: Sparsity-Guided Debugging for Deep Neural Networks","created":"2023-10-06","cited_by_count":2,"area":null},{"id":"2403.15603","title":"Forward Learning for Gradient-based Black-box Saliency Map Generation","created":"2024-03-22","cited_by_count":2,"area":null},{"id":"2101.06773","title":"Generating Attribution Maps with Disentangled Masked Backpropagation","created":"2021-01-17","cited_by_count":1,"area":null},{"id":"2303.14479","title":"Explainable Image Quality Assessment for Medical Imaging","created":"2023-03-25","cited_by_count":1,"area":null},{"id":"2312.14201","title":"Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance","created":"2023-12-21","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":"2609.12793","title":"VertiFuseX: Generalizable Financial Forecasting via Multi-Stream Temporal Fusion","created":"2026-09-11","cited_by_count":1,"area":null},{"id":"2101.01178","title":"Advances in Electron Microscopy with Deep Learning","created":"2021-01-04","cited_by_count":0,"area":null},{"id":"2201.00009","title":"Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI","created":"2021-12-30","cited_by_count":0,"area":null},{"id":"2201.07798","title":"A Cognitive Explainer for Fetal ultrasound images classifier Based on Medical Concepts","created":"2022-01-19","cited_by_count":0,"area":null},{"id":"2205.10724","title":"Learnable Visual Words for Interpretable Image Recognition","created":"2022-05-22","cited_by_count":0,"area":null},{"id":"2207.05374","title":"Rethinking gradient weights' influence over saliency map estimation","created":"2022-07-12","cited_by_count":0,"area":null},{"id":"2211.15060","title":"Interactive Visual Feature Search","created":"2022-11-28","cited_by_count":0,"area":null},{"id":"2306.04644","title":"Decom--CAM: Tell Me What You See, In Details! Feature-Level Interpretation via Decomposition Class Activation Map","created":"2023-05-27","cited_by_count":0,"area":null},{"id":"2503.11160","title":"Unifying Perplexing Behaviors in Modified BP Attributions through Alignment Perspective","created":"2025-03-14","cited_by_count":0,"area":null},{"id":"2507.18550","title":"On the Performance of Concept Probing: The Influence of the Data (Extended Version)","created":"2025-07-24","cited_by_count":0,"area":null},{"id":"2507.18681","title":"Concept Probing: Where to Find Human-Defined Concepts (Extended Version)","created":"2025-07-24","cited_by_count":0,"area":null},{"id":"2510.01004","title":"TextCAM: Explaining Class Activation Map with Text","created":"2025-10-01","cited_by_count":0,"area":null},{"id":"2510.25134","title":"Region-CAM: Towards Accurate Object Regions in Class Activation Maps for Weakly Supervised Learning Tasks","created":"2025-10-29","cited_by_count":0,"area":null}],"next_cursor":null}