Summary of Triaug: Out-of-distribution Detection For Imbalanced Breast Lesion in Ultrasound, by Yinyu Ye et al.
TriAug: Out-of-Distribution Detection for Imbalanced Breast Lesion in Ultrasoundby Yinyu Ye, Shijing Chen, Dong Ni,…
Summary of Bandit-feedback Online Multiclass Classification: Variants and Tradeoffs, by Yuval Filmus et al.
Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffsby Yuval Filmus, Steve Hanneke, Idan Mehalel, Shay MoranFirst…
Summary of One Train For Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning, by Haozhen Zhang et al.
One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learningby Haozhen…
Summary of Self-calibrating Conformal Prediction, by Lars Van Der Laan and Ahmed M. Alaa
Self-Calibrating Conformal Predictionby Lars van der Laan, Ahmed M. AlaaFirst submitted to arxiv on: 11…
Summary of Accuracy Of Textfooler Black Box Adversarial Attacks on 01 Loss Sign Activation Neural Network Ensemble, by Yunzhe Xue and Usman Roshan
Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensembleby…
Summary of Data Distribution-based Curriculum Learning, by Shonal Chaudhry and Anuraganand Sharma
Data Distribution-based Curriculum Learningby Shonal Chaudhry, Anuraganand SharmaFirst submitted to arxiv on: 12 Feb 2024CategoriesMain:…
Summary of A Novel Gaussian Min-max Theorem and Its Applications, by Danil Akhtiamov et al.
A Novel Gaussian Min-Max Theorem and its Applicationsby Danil Akhtiamov, David Bosch, Reza Ghane, K…
Summary of Impact Of Domain Knowledge and Multi-modality on Intelligent Molecular Property Prediction: a Systematic Survey, by Taojie Kuang et al.
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Surveyby Taojie…
Summary of Open-ended Vqa Benchmarking Of Vision-language Models by Exploiting Classification Datasets and Their Semantic Hierarchy, By Simon Ging et al.
Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchyby Simon…
Summary of The Relevance Feature and Vector Machine For Health Applications, by Albert Belenguer-llorens et al.
The Relevance Feature and Vector Machine for health applicationsby Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Emilio Parrado-Hernández,…