Summary of Linscan — a Linearity Based Clustering Algorithm, by Andrew Dennehy et al.
LINSCAN – A Linearity Based Clustering Algorithmby Andrew Dennehy, Xiaoyu Zou, Shabnam J. Semnani, Yuri…
LINSCAN – A Linearity Based Clustering Algorithmby Andrew Dennehy, Xiaoyu Zou, Shabnam J. Semnani, Yuri…
Why Line Search when you can Plane Search? SO-Friendly Neural Networks allow Per-Iteration Optimization of…
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectoriesby Yiqiao Jin, Andrew Zhao, Yeon-Chang Lee, Meng…
LABOR-LLM: Language-Based Occupational Representations with Large Language Modelsby Susan Athey, Herman Brunborg, Tianyu Du, Ayush…
Learning Neural Networks with Sparse Activationsby Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath, Raghu MekaFirst submitted…
SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It)by Matthieu…
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Modelsby Vikas Yadav, Hyuk…
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Viewsby Muzhen Cai, Sendong Zhao, Haochun…
Boosting Soft Q-Learning by Boundingby Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. KulkarniFirst submitted…
Local Linear Recovery Guarantee of Deep Neural Networks at Overparameterizationby Yaoyu Zhang, Leyang Zhang, Zhongwang…