{"total":74,"rows":[{"id":"2102.02766","title":"Designing an Encoder for StyleGAN Image Manipulation","created":"2021-02-04","cited_by_count":544,"area":null},{"id":"2106.05744","title":"Pivotal Tuning for Latent-based Editing of Real Images","created":"2021-06-10","cited_by_count":427,"area":null},{"id":"2104.02699","title":"ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement","created":"2021-04-06","cited_by_count":248,"area":null},{"id":"2111.15666","title":"HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing","created":"2021-11-30","cited_by_count":208,"area":null},{"id":"2103.10951","title":"Paint by Word","created":"2021-03-19","cited_by_count":107,"area":null},{"id":"2102.02754","title":"Only a Matter of Style: Age Transformation Using a Style-Based Regression Model","created":"2021-02-04","cited_by_count":92,"area":null},{"id":"2202.10166","title":"Diffusion Causal Models for Counterfactual Estimation","created":"2022-02-21","cited_by_count":87,"area":null},{"id":"2201.08361","title":"Stitch it in Time: GAN-Based Facial Editing of Real Videos","created":"2022-01-20","cited_by_count":68,"area":null},{"id":"2106.12543","title":"Synthetic Benchmarks for Scientific Research in Explainable Machine Learning","created":"2021-06-23","cited_by_count":59,"area":null},{"id":"2103.10226","title":"Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations","created":"2021-03-18","cited_by_count":56,"area":null},{"id":"2312.01261","title":"TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models","created":"2023-12-03","cited_by_count":52,"area":null},{"id":"2108.08504","title":"Understanding and Mitigating Annotation Bias in Facial Expression Recognition","created":"2021-08-19","cited_by_count":50,"area":null},{"id":"2109.13357","title":"WarpedGANSpace: Finding non-linear RBF paths in GAN latent space","created":"2021-09-27","cited_by_count":48,"area":null},{"id":"2104.14556","title":"Discover the Unknown Biased Attribute of an Image Classifier","created":"2021-04-29","cited_by_count":46,"area":null},{"id":"2305.19164","title":"LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images","created":"2023-05-30","cited_by_count":46,"area":null},{"id":"2212.02774","title":"Adaptive Testing of Computer Vision Models","created":"2022-12-06","cited_by_count":39,"area":null},{"id":"2206.09191","title":"Gender Artifacts in Visual Datasets","created":"2022-06-18","cited_by_count":38,"area":null},{"id":"2105.15164","title":"DISSECT: Disentangled Simultaneous Explanations via Concept Traversals","created":"2021-05-31","cited_by_count":37,"area":null},{"id":"2202.12211","title":"Self-Distilled StyleGAN: Towards Generation from Internet Photos","created":"2022-02-24","cited_by_count":37,"area":null},{"id":"2106.02705","title":"Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning","created":"2021-06-04","cited_by_count":34,"area":null},{"id":"2205.10764","title":"Evidence for Hypodescent in Visual Semantic AI","created":"2022-05-22","cited_by_count":30,"area":null},{"id":"2305.15407","title":"Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets","created":"2023-05-24","cited_by_count":27,"area":"mllm"},{"id":"2203.17272","title":"MyStyle: A Personalized Generative Prior","created":"2022-03-31","cited_by_count":26,"area":null},{"id":"2309.14381","title":"Survey of Social Bias in Vision-Language Models","created":"2023-09-24","cited_by_count":26,"area":"mllm"},{"id":"2303.15441","title":"Zero-shot Model Diagnosis","created":"2023-03-27","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":"2103.11436","title":"Responsible AI: Gender bias assessment in emotion recognition","created":"2021-03-21","cited_by_count":22,"area":null},{"id":"2211.12347","title":"The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation","created":"2022-11-22","cited_by_count":22,"area":null},{"id":"2111.13650","title":"Latent Space Smoothing for Individually Fair Representations","created":"2021-11-26","cited_by_count":18,"area":null},{"id":"2112.06522","title":"Anatomizing Bias in Facial Analysis","created":"2021-12-13","cited_by_count":18,"area":null},{"id":"2211.11448","title":"Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space Viewpoint","created":"2022-11-21","cited_by_count":18,"area":null},{"id":"2110.04292","title":"Toward a Visual Concept Vocabulary for GAN Latent Space","created":"2021-10-08","cited_by_count":15,"area":null},{"id":"2210.00957","title":"UnGANable: Defending Against GAN-based Face Manipulation","created":"2022-10-03","cited_by_count":15,"area":null},{"id":"2302.01448","title":"Out of Context: Investigating the Bias and Fairness Concerns of \"Artificial Intelligence as a Service\"","created":"2023-02-02","cited_by_count":15,"area":null},{"id":"2202.00965","title":"GANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Information","created":"2022-02-02","cited_by_count":13,"area":null},{"id":"2107.12096","title":"Towards Unbiased Visual Emotion Recognition via Causal Intervention","created":"2021-07-26","cited_by_count":11,"area":null},{"id":"2204.04440","title":"Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks","created":"2022-04-09","cited_by_count":10,"area":null},{"id":"2207.03444","title":"Fairness and Bias in Robot Learning","created":"2022-07-07","cited_by_count":10,"area":null},{"id":"2210.10090","title":"How to Boost Face Recognition with StyleGAN?","created":"2022-10-18","cited_by_count":10,"area":null},{"id":"2110.09843","title":"AequeVox: Automated Fairness Testing of Speech Recognition Systems","created":"2021-10-19","cited_by_count":9,"area":null},{"id":"2403.06606","title":"Distributionally Generative Augmentation for Fair Facial Attribute Classification","created":"2024-03-11","cited_by_count":8,"area":null},{"id":"2104.04191","title":"SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size","created":"2021-04-09","cited_by_count":7,"area":null},{"id":"2205.01668","title":"End-to-End Visual Editing with a Generatively Pre-Trained Artist","created":"2022-05-03","cited_by_count":7,"area":null},{"id":"2208.08382","title":"Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups","created":"2022-08-17","cited_by_count":7,"area":null},{"id":"2209.08648","title":"Through a fair looking-glass: mitigating bias in image datasets","created":"2022-09-18","cited_by_count":6,"area":null},{"id":"2211.16499","title":"Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing","created":"2022-11-29","cited_by_count":6,"area":null},{"id":"2111.00909","title":"Multi-Attribute Balanced Sampling for Disentangled GAN Controls","created":"2021-10-28","cited_by_count":4,"area":null},{"id":"2201.03342","title":"COIN: Counterfactual Image Generation for VQA Interpretation","created":"2022-01-10","cited_by_count":4,"area":null},{"id":"2207.01917","title":"GLANCE: Global to Local Architecture-Neutral Concept-based Explanations","created":"2022-07-05","cited_by_count":4,"area":null},{"id":"2302.04358","title":"Mitigating Bias in Visual Transformers via Targeted Alignment","created":"2023-02-08","cited_by_count":4,"area":null},{"id":"2409.04188","title":"Reassessing the Validity of Spurious Correlations Benchmarks","created":"2024-09-06","cited_by_count":4,"area":null},{"id":"2201.11197","title":"Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images","created":"2022-01-26","cited_by_count":3,"area":null},{"id":"2207.05727","title":"Enhancing Fairness of Visual Attribute Predictors","created":"2022-07-07","cited_by_count":3,"area":null},{"id":"2210.04491","title":"A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis","created":"2022-10-10","cited_by_count":3,"area":null},{"id":"2405.05031","title":"Mitigating Bias Using Model-Agnostic Data Attribution","created":"2024-05-08","cited_by_count":3,"area":null},{"id":"2406.11331","title":"They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias","created":"2024-06-17","cited_by_count":3,"area":"mllm"},{"id":"2503.19846","title":"Attention IoU: Examining Biases in CelebA using Attention Maps","created":"2025-03-25","cited_by_count":3,"area":null},{"id":"2202.04504","title":"Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers","created":"2022-02-09","cited_by_count":2,"area":null},{"id":"2204.06364","title":"Mitigating Bias in Facial Analysis Systems by Incorporating Label Diversity","created":"2022-04-13","cited_by_count":2,"area":null},{"id":"2208.02192","title":"RealPatch: A Statistical Matching Framework for Model Patching with Real Samples","created":"2022-08-03","cited_by_count":2,"area":null},{"id":"2210.12368","title":"Counterfactual Generation Under Confounding","created":"2022-10-22","cited_by_count":2,"area":null},{"id":"2308.03495","title":"Balanced Face Dataset: Guiding StyleGAN to Generate Labeled Synthetic Face Image Dataset for Underrepresented Group","created":"2023-08-07","cited_by_count":2,"area":null},{"id":"2407.13922","title":"CounterFace: A Synthetic Face Dataset for Fine-Grained Counterfactual Evaluation of Face Recognition Systems","created":"2024-07-18","cited_by_count":2,"area":null},{"id":"2408.03819","title":"Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning","created":"2024-08-07","cited_by_count":2,"area":null},{"id":"2504.19621","title":"AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis","created":"2025-04-28","cited_by_count":2,"area":null},{"id":"2505.12114","title":"Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals","created":"2025-05-17","cited_by_count":2,"area":null},{"id":"2107.13625","title":"Adaptation and Generalization for Unknown Sensitive Factors of Variations","created":"2021-07-28","cited_by_count":1,"area":null},{"id":"2109.07869","title":"Explainability Requires Interactivity","created":"2021-09-16","cited_by_count":1,"area":null},{"id":"2201.11196","title":"IMACS: Image Model Attribution Comparison Summaries","created":"2022-01-26","cited_by_count":1,"area":null},{"id":"2303.13010","title":"Semantic Image Attack for Visual Model Diagnosis","created":"2023-03-23","cited_by_count":1,"area":null},{"id":"2305.18183","title":"On Counterfactual Data Augmentation Under Confounding","created":"2023-05-29","cited_by_count":1,"area":null},{"id":"2412.17523","title":"Constructing Fair Latent Space for Intersection of Fairness and Explainability","created":"2024-12-23","cited_by_count":1,"area":null},{"id":"2206.13078","title":"Video2StyleGAN: Encoding Video in Latent Space for Manipulation","created":"2022-06-27","cited_by_count":0,"area":null},{"id":"2404.11819","title":"Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement","created":"2024-04-18","cited_by_count":0,"area":null}],"next_cursor":null}