Summary of Lmseg: Unleashing the Power Of Large-scale Models For Open-vocabulary Semantic Segmentation, by Huadong Tang et al.
LMSeg: Unleashing the Power of Large-Scale Models for Open-Vocabulary Semantic Segmentationby Huadong Tang, Youpeng Zhao,…
Summary of On the Role Of Noise in Factorizers For Disentangling Distributed Representations, by Geethan Karunaratne et al.
On the Role of Noise in Factorizers for Disentangling Distributed Representationsby Geethan Karunaratne, Michael Hersche,…
Summary of Random Cycle Coding: Lossless Compression Of Cluster Assignments Via Bits-back Coding, by Daniel Severo et al.
Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Codingby Daniel Severo, Ashish Khisti,…
Summary of Predicting Extubation Failure in Intensive Care: the Development Of a Novel, End-to-end Actionable and Interpretable Prediction System, by Akram Yoosoofsah
Predicting Extubation Failure in Intensive Care: The Development of a Novel, End-to-End Actionable and Interpretable…
Summary of Act Now: a Novel Online Forecasting Framework For Large-scale Streaming Data, by Daojun Liang et al.
Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Databy Daojun Liang, Haixia Zhang,…
Summary of Demographic Predictability in 3d Ct Foundation Embeddings, by Guangyao Zheng et al.
Demographic Predictability in 3D CT Foundation Embeddingsby Guangyao Zheng, Michael A. Jacobs, Vishwa S. ParekhFirst…
Summary of Deep Neural Network-based Prediction Of B-cell Epitopes For Sars-cov and Sars-cov-2: Enhancing Vaccine Design Through Machine Learning, by Xinyu Shi et al.
Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through…
Summary of Boundary-decoder Network For Inverse Prediction Of Capacitor Electrostatic Analysis, by Kart-leong Lim et al.
Boundary-Decoder network for inverse prediction of capacitor electrostatic analysisby Kart-Leong Lim, Rahul Dutta, Mihai RotaruFirst…
Summary of Streamlined Federated Unlearning: Unite As One to Be Highly Efficient, by Lei Zhou et al.
Streamlined Federated Unlearning: Unite as One to Be Highly Efficientby Lei Zhou, Youwen Zhu, Qiao…
Summary of Electricity Price Prediction Using Multi-kernel Gaussian Process Regression Combined with Kernel-based Support Vector Regression, by Abhinav Das et al.
Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regressionby Abhinav…