Summary of Fairness in Algorithmic Recourse Through the Lens Of Substantive Equality Of Opportunity, by Andrew Bell et al.
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunityby Andrew Bell, Joao…
Summary of Federated Unsupervised Random Forest For Privacy-preserving Patient Stratification, by Bastian Pfeifer et al.
Federated unsupervised random forest for privacy-preserving patient stratificationby Bastian Pfeifer, Christel Sirocchi, Marcus D. Bloice,…
Summary of Multilingual Text-to-image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You, by Felix Friedrich et al.
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help Youby Felix Friedrich,…
Summary of One For All: a Novel Dual-space Co-training Baseline For Large-scale Multi-view Clustering, by Zisen Kong et al.
One for all: A novel Dual-space Co-training baseline for Large-scale Multi-View Clusteringby Zisen Kong, Zhiqiang…
Summary of Contrastive Learning and Mixture Of Experts Enables Precise Vector Embeddings, by Logan Hallee et al.
Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddingsby Logan Hallee, Rohan Kapur, Arjun…
Summary of A Study Of Acquisition Functions For Medical Imaging Deep Active Learning, by Bonaventure F. P. Dossou
A Study of Acquisition Functions for Medical Imaging Deep Active Learningby Bonaventure F. P. DossouFirst…
Summary of An Objective Comparison Of Methods For Augmented Reality in Laparoscopic Liver Resection by Preoperative-to-intraoperative Image Fusion, By Sharib Ali et al.
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image…
Summary of Segmentanytree: a Sensor and Platform Agnostic Deep Learning Model For Tree Segmentation Using Laser Scanning Data, by Maciej Wielgosz et al.
SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning…
Summary of Bayesian Nonparametrics Meets Data-driven Distributionally Robust Optimization, by Nicola Bariletto et al.
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimizationby Nicola Bariletto, Nhat HoFirst submitted to arxiv on:…
Summary of Evaluation Of K-means Time Series Clustering Based on Z-normalization and Np-free, by Ming-chang Lee et al.
Evaluation of k-means time series clustering based on z-normalization and NP-Freeby Ming-Chang Lee, Jia-Chun Lin,…