{"list":"other","total":66,"rows":[{"id":"1505.07818","title":"Domain-Adversarial Training of Neural Networks","created":"2015-05-28","cited_by_count":3044},{"id":"1907.02893","title":"Invariant Risk Minimization","created":"2019-07-05","cited_by_count":1854},{"id":"2102.04306","title":"TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation","created":"2021-02-08","cited_by_count":1558},{"id":"1807.10165","title":"UNet++: A Nested U-Net Architecture for Medical Image Segmentation","created":"2018-07-18","cited_by_count":1525},{"id":"1901.07031","title":"CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison","created":"2019-01-21","cited_by_count":1423},{"id":"1911.08731","title":"Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization","created":"2019-11-20","cited_by_count":1247},{"id":"1710.03463","title":"Learning to Generalize: Meta-Learning for Domain Generalization","created":"2017-10-10","cited_by_count":763},{"id":"1801.07593","title":"Mitigating Unwanted Biases with Adversarial Learning","created":"2018-01-22","cited_by_count":663},{"id":"1811.12833","title":"ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation","created":"2018-11-30","cited_by_count":623},{"id":"1901.07042","title":"MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs","created":"2019-01-21","cited_by_count":597},{"id":"1802.10349","title":"Learning to Adapt Structured Output Space for Semantic Segmentation","created":"2018-02-28","cited_by_count":584},{"id":"2004.05498","title":"FDA: Fourier Domain Adaptation for Semantic Segmentation","created":"2020-04-11","cited_by_count":541},{"id":"1702.08423","title":"Age Progression/Regression by Conditional Adversarial Autoencoder","created":"2017-02-27","cited_by_count":429},{"id":"1807.09441","title":"Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net","created":"2018-07-25","cited_by_count":364},{"id":"2102.09508","title":"Domain Adaptation for Medical Image Analysis: A Survey","created":"2021-02-18","cited_by_count":352},{"id":"1709.10190","title":"Unified Deep Supervised Domain Adaptation and Generalization","created":"2017-09-28","cited_by_count":323},{"id":"2111.14887","title":"DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation","created":"2021-11-29","cited_by_count":300},{"id":"2003.13216","title":"Learning to Learn Single Domain Generalization","created":"2020-03-30","cited_by_count":296},{"id":"2105.11120","title":"A Fourier-based Framework for Domain Generalization","created":"2021-05-24","cited_by_count":290},{"id":"1508.07680","title":"Domain Generalization for Object Recognition with Multi-task Autoencoders","created":"2015-08-31","cited_by_count":253},{"id":"1612.02649","title":"FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation","created":"2016-12-08","cited_by_count":243},{"id":"1805.12317","title":"Multiaccuracy: Black-Box Post-Processing for Fairness in Classification","created":"2018-05-31","cited_by_count":222},{"id":"2104.09957","title":"Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset","created":"2021-04-20","cited_by_count":185},{"id":"2008.12197","title":"Instance Adaptive Self-Training for Unsupervised Domain Adaptation","created":"2020-08-27","cited_by_count":177},{"id":"1911.07661","title":"Domain Generalization Using a Mixture of Multiple Latent Domains","created":"2019-11-18","cited_by_count":170},{"id":"1707.00075","title":"Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations","created":"2017-07-01","cited_by_count":165},{"id":"2009.13120","title":"Medical Image Segmentation Using Deep Learning: A Survey","created":"2020-09-28","cited_by_count":164},{"id":"2105.00097","title":"Self-supervised Augmentation Consistency for Adapting Semantic Segmentation","created":"2021-04-30","cited_by_count":149},{"id":"2109.06165","title":"CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation","created":"2021-09-13","cited_by_count":129},{"id":"2012.01469","title":"Fair Attribute Classification through Latent Space De-biasing","created":"2020-12-02","cited_by_count":125},{"id":"2009.12829","title":"Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization","created":"2020-09-27","cited_by_count":123},{"id":"2111.12525","title":"Causality-inspired Single-source Domain Generalization for Medical Image Segmentation","created":"2021-11-24","cited_by_count":119},{"id":"1704.08509","title":"No More Discrimination: Cross City Adaptation of Road Scene Segmenters","created":"2017-04-27","cited_by_count":111},{"id":"1911.00804","title":"Generalizing to unseen domains via distribution matching","created":"2019-11-03","cited_by_count":110},{"id":"2007.09316","title":"Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization","created":"2020-07-18","cited_by_count":108},{"id":"1711.11556","title":"ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes","created":"2017-11-30","cited_by_count":95},{"id":"2105.08128","title":"PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training","created":"2021-05-17","cited_by_count":80},{"id":"2003.05707","title":"Fairness by Learning Orthogonal Disentangled Representations","created":"2020-03-12","cited_by_count":76},{"id":"1812.06135","title":"Bias Mitigation Post-processing for Individual and Group Fairness","created":"2018-12-14","cited_by_count":72},{"id":"2203.16209","title":"Fair Contrastive Learning for Facial Attribute Classification","created":"2022-03-30","cited_by_count":71},{"id":"1912.01230","title":"Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification","created":"2019-12-03","cited_by_count":69},{"id":"2403.19949","title":"FairCLIP: Harnessing Fairness in Vision-Language Learning","created":"2024-03-29","cited_by_count":69},{"id":"2210.01725","title":"MEDFAIR: Benchmarking Fairness for Medical Imaging","created":"2022-10-04","cited_by_count":68},{"id":"2106.04151","title":"Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation","created":"2021-06-08","cited_by_count":67},{"id":"2002.10234","title":"FR-Train: A Mutual Information-Based Approach to Fair and Robust Training","created":"2020-02-24","cited_by_count":52},{"id":"2203.01584","title":"Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models","created":"2022-03-03","cited_by_count":47},{"id":"2103.03423","title":"Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images","created":"2021-03-05","cited_by_count":45},{"id":"2201.01003","title":"Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources","created":"2022-01-04","cited_by_count":42},{"id":"2301.04011","title":"Learning Support and Trivial Prototypes for Interpretable Image Classification","created":"2023-01-08","cited_by_count":38},{"id":"2111.12918","title":"ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification","created":"2021-11-25","cited_by_count":35},{"id":"2007.13632","title":"Towards Accuracy-Fairness Paradox: Adversarial Example-based Data Augmentation for Visual Debiasing","created":"2020-07-27","cited_by_count":32},{"id":"2306.09264","title":"Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization","created":"2023-06-15","cited_by_count":31},{"id":"2304.02135","title":"FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding","created":"2023-04-04","cited_by_count":27},{"id":"2205.06427","title":"Test-time Fourier Style Calibration for Domain Generalization","created":"2022-05-13","cited_by_count":25},{"id":"2301.13323","title":"Fairness and Accuracy under Domain Generalization","created":"2023-01-30","cited_by_count":24},{"id":"2109.01303","title":"Self-supervised Pseudo Multi-class Pre-training for Unsupervised Anomaly Detection and Segmentation in Medical Images","created":"2021-09-03","cited_by_count":23},{"id":"2203.12121","title":"Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection","created":"2022-03-23","cited_by_count":20},{"id":"2207.13249","title":"AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation","created":"2022-07-27","cited_by_count":18},{"id":"2308.13411","title":"Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning","created":"2023-08-25","cited_by_count":17},{"id":"2203.11725","title":"Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder","created":"2022-03-22","cited_by_count":15},{"id":"2203.14523","title":"Translation Consistent Semi-supervised Segmentation for 3D Medical Images","created":"2022-03-28","cited_by_count":13},{"id":"2205.00504","title":"Domain Adaptation meets Individual Fairness. And they get along","created":"2022-05-01","cited_by_count":13},{"id":"2310.02492","title":"FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling","created":"2023-10-03","cited_by_count":13},{"id":"2209.10478","title":"Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation","created":"2022-09-21","cited_by_count":12},{"id":"2103.04053","title":"NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification","created":"2021-03-06","cited_by_count":9},{"id":"2203.01937","title":"BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification","created":"2022-03-03","cited_by_count":9}],"next_cursor":null}