Summary of Fast Multi-group Gaussian Process Factor Models, by Evren Gokcen et al.
Fast Multi-Group Gaussian Process Factor Modelsby Evren Gokcen, Anna I. Jasper, Adam Kohn, Christian K.…
Summary of Dmesh++: An Efficient Differentiable Mesh For Complex Shapes, by Sanghyun Son et al.
DMesh++: An Efficient Differentiable Mesh for Complex Shapesby Sanghyun Son, Matheus Gadelha, Yang Zhou, Matthew…
Summary of Hyperclip: Adapting Vision-language Models with Hypernetworks, by Victor Akinwande et al.
HyperCLIP: Adapting Vision-Language models with Hypernetworksby Victor Akinwande, Mohammad Sadegh Norouzzadeh, Devin Willmott, Anna Bair,…
Summary of Effective Context Modeling Framework For Emotion Recognition in Conversations, by Cuong Tran Van et al.
Effective Context Modeling Framework for Emotion Recognition in Conversationsby Cuong Tran Van, Thanh V. T.…
Summary of Robust Random Graph Matching in Dense Graphs Via Vector Approximate Message Passing, by Zhangsong Li
Robust random graph matching in dense graphs via vector approximate message passingby Zhangsong LiFirst submitted…
Summary of Cbnn: 3-party Secure Framework For Customized Binary Neural Networks Inference, by Benchang Dong et al.
CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inferenceby Benchang Dong, Zhili Chen, Xin…
Summary of Correcting Large Language Model Behavior Via Influence Function, by Han Zhang et al.
Correcting Large Language Model Behavior via Influence Functionby Han Zhang, Zhuo Zhang, Yi Zhang, Yuanzhao…
Summary of Condensed Stein Variational Gradient Descent For Uncertainty Quantification Of Neural Networks, by Govinda Anantha Padmanabha et al.
Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networksby Govinda Anantha Padmanabha, Cosmin…
Summary of The Road to Artificial Superintelligence: a Comprehensive Survey Of Superalignment, by Hyunjin Kim et al.
The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignmentby HyunJin Kim, Xiaoyuan Yi, Jing…
Summary of When Can Proxies Improve the Sample Complexity Of Preference Learning?, by Yuchen Zhu et al.
When Can Proxies Improve the Sample Complexity of Preference Learning?by Yuchen Zhu, Daniel Augusto de…