Summary of Data Measurements For Decentralized Data Markets, by Charles Lu et al.
Data Measurements for Decentralized Data Marketsby Charles Lu, Mohammad Mohammadi Amiri, Ramesh RaskarFirst submitted to…
Summary of Generative Ai-in-the-loop: Integrating Llms and Gpts Into the Next Generation Networks, by Han Zhang et al.
Generative AI-in-the-loop: Integrating LLMs and GPTs into the Next Generation Networksby Han Zhang, Akram Bin…
Summary of Xmil: Insightful Explanations For Multiple Instance Learning in Histopathology, by Julius Hense et al.
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathologyby Julius Hense, Mina Jamshidi Idaji, Oliver…
Summary of Representational Alignment Supports Effective Machine Teaching, by Ilia Sucholutsky and Katherine M. Collins and Maya Malaviya and Nori Jacoby and Weiyang Liu and Theodore R. Sumers and Michalis Korakakis and Umang Bhatt and Mark Ho and Joshua B. Tenenbaum and Brad Love and Zachary A. Pardos and Adrian Weller and Thomas L. Griffiths
Representational Alignment Supports Effective Machine Teachingby Ilia Sucholutsky, Katherine M. Collins, Maya Malaviya, Nori Jacoby,…
Summary of From Tissue Plane to Organ World: a Benchmark Dataset For Multimodal Biomedical Image Registration Using Deep Co-attention Networks, by Yifeng Wang et al.
From Tissue Plane to Organ World: A Benchmark Dataset for Multimodal Biomedical Image Registration using…
Summary of A Large-scale Neutral Comparison Study Of Survival Models on Low-dimensional Data, by Lukas Burk et al.
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Databy Lukas Burk, John Zobolas,…
Summary of Compressible Dynamics in Deep Overparameterized Low-rank Learning & Adaptation, by Can Yaras et al.
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptationby Can Yaras, Peng Wang, Laura Balzano,…
Summary of Optimal Batched Linear Bandits, by Xuanfei Ren et al.
Optimal Batched Linear Banditsby Xuanfei Ren, Tianyuan Jin, Pan XuFirst submitted to arxiv on: 6…
Summary of Learned Feature Importance Scores For Automated Feature Engineering, by Yihe Dong et al.
Learned Feature Importance Scores for Automated Feature Engineeringby Yihe Dong, Sercan Arik, Nathanael Yoder, Tomas…
Summary of Improving Physics-augmented Continuum Neural Radiance Field-based Geometry-agnostic System Identification with Lagrangian Particle Optimization, by Takuhiro Kaneko
Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimizationby Takuhiro KanekoFirst…