Summary of Artificial Intelligence For Science: the Easy and Hard Problems, by Ruairidh M. Battleday and Samuel J. Gershman
Artificial intelligence for science: The easy and hard problemsby Ruairidh M. Battleday, Samuel J. GershmanFirst…
Summary of Unveiling the Statistical Foundations Of Chain-of-thought Prompting Methods, by Xinyang Hu et al.
Unveiling the Statistical Foundations of Chain-of-Thought Prompting Methodsby Xinyang Hu, Fengzhuo Zhang, Siyu Chen, Zhuoran…
Summary of Llms As Zero-shot Graph Learners: Alignment Of Gnn Representations with Llm Token Embeddings, by Duo Wang and Yuan Zuo and Fengzhi Li and Junjie Wu
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddingsby Duo Wang,…
Summary of Variational Autoencoder-based Neural Network Model Compression, by Liang Cheng et al.
Variational autoencoder-based neural network model compressionby Liang Cheng, Peiyuan Guan, Amir Taherkordi, Lei Liu, Dapeng…
Summary of A Multilateral Attention-enhanced Deep Neural Network For Disease Outbreak Forecasting: a Case Study on Covid-19, by Ashutosh Anshul et al.
A Multilateral Attention-enhanced Deep Neural Network for Disease Outbreak Forecasting: A Case Study on COVID-19by…
Summary of Improving Nonlinear Projection Heads Using Pretrained Autoencoder Embeddings, by Andreas Schliebitz et al.
Improving Nonlinear Projection Heads using Pretrained Autoencoder Embeddingsby Andreas Schliebitz, Heiko Tapken, Martin AtzmuellerFirst submitted…
Summary of Estimating Uncertainty with Implicit Quantile Network, by Yi Hung Lim
Estimating Uncertainty with Implicit Quantile Networkby Yi Hung LimFirst submitted to arxiv on: 26 Aug…
Summary of Retrieval Augmented Generation For Dynamic Graph Modeling, by Yuxia Wu et al.
Retrieval Augmented Generation for Dynamic Graph Modelingby Yuxia Wu, Yuan Fang, Lizi LiaoFirst submitted to…
Summary of Towards Graph Prompt Learning: a Survey and Beyond, by Qingqing Long et al.
Towards Graph Prompt Learning: A Survey and Beyondby Qingqing Long, Yuchen Yan, Peiyan Zhang, Chen…
Summary of Adaptive Resolution Inference (ari): Energy-efficient Machine Learning For Internet Of Things, by Ziheng Wang et al.
Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Thingsby Ziheng Wang, Pedro Reviriego,…