Summary of Contrastive Federated Learning with Tabular Data Silos, by Achmad Ginanjar et al.
Contrastive Federated Learning with Tabular Data Silosby Achmad Ginanjar, Xue Li, Wen Hua, Jiaming PeiFirst…
Summary of Scalable Multitask Learning Using Gradient-based Estimation Of Task Affinity, by Dongyue Li et al.
Scalable Multitask Learning Using Gradient-based Estimation of Task Affinityby Dongyue Li, Aneesh Sharma, Hongyang R.…
Summary of Decollage: 3d Detailization by Controllable, Localized, and Learned Geometry Enhancement, By Qimin Chen et al.
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancementby Qimin Chen, Zhiqin Chen, Vladimir…
Summary of Configuration Interaction Guided Sampling with Interpretable Restricted Boltzmann Machine, by Jorge I. Hernandez-martinez et al.
Configuration Interaction Guided Sampling with Interpretable Restricted Boltzmann Machineby Jorge I. Hernandez-Martinez, Gerardo Rodriguez-Hernandez, Andres…
Summary of Variational Search Distributions, by Daniel M. Steinberg et al.
Variational Search Distributionsby Daniel M. Steinberg, Rafael Oliveira, Cheng Soon Ong, Edwin V. BonillaFirst submitted…
Summary of Mcdgln: Masked Connection-based Dynamic Graph Learning Network For Autism Spectrum Disorder, by Peng Wang et al.
MCDGLN: Masked Connection-based Dynamic Graph Learning Network for Autism Spectrum Disorderby Peng Wang, Xin Wen,…
Summary of Ve: Modeling Multivariate Time Series Correlation with Variate Embedding, by Shangjiong Wang et al.
VE: Modeling Multivariate Time Series Correlation with Variate Embeddingby Shangjiong Wang, Zhihong Man, Zhenwei Cao,…
Summary of Loss Distillation Via Gradient Matching For Point Cloud Completion with Weighted Chamfer Distance, by Fangzhou Lin et al.
Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distanceby Fangzhou Lin,…
Summary of Can Large Language Models Unlock Novel Scientific Research Ideas?, by Sandeep Kumar et al.
Can Large Language Models Unlock Novel Scientific Research Ideas?by Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal,…
Summary of Bottleneck-based Encoder-decoder Architecture (bear) For Learning Unbiased Consumer-to-consumer Image Representations, by Pablo Rivas et al.
Bottleneck-based Encoder-decoder ARchitecture (BEAR) for Learning Unbiased Consumer-to-Consumer Image Representationsby Pablo Rivas, Gisela Bichler, Tomas…