Summary of Large Language Models Can Automatically Engineer Features For Few-shot Tabular Learning, by Sungwon Han et al.
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learningby Sungwon Han, Jinsung Yoon,…
Summary of State Space Model For New-generation Network Alternative to Transformers: a Survey, by Xiao Wang et al.
State Space Model for New-Generation Network Alternative to Transformers: A Surveyby Xiao Wang, Shiao Wang,…
Summary of Nonlinear Sparse Variational Bayesian Learning Based Model Predictive Control with Application to Pemfc Temperature Control, by Qi Zhang et al.
Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature controlby…
Summary of Inferring Behavior-specific Context Improves Zero-shot Generalization in Reinforcement Learning, by Tidiane Camaret Ndir et al.
Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learningby Tidiane Camaret Ndir, André Biedenkapp, Noor…
Summary of Prepacking: a Simple Method For Fast Prefilling and Increased Throughput in Large Language Models, by Siyan Zhao et al.
Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Modelsby Siyan…
Summary of Tmpq-dm: Joint Timestep Reduction and Quantization Precision Selection For Efficient Diffusion Models, by Haojun Sun et al.
TMPQ-DM: Joint Timestep Reduction and Quantization Precision Selection for Efficient Diffusion Modelsby Haojun Sun, Chen…
Summary of Dynamic Fault Detection and Diagnosis Of Industrial Alkaline Water Electrolyzer Process with Variational Bayesian Dictionary Learning, by Qi Zhang et al.
Dynamic fault detection and diagnosis of industrial alkaline water electrolyzer process with variational Bayesian dictionary…
Summary of Witunet: a U-shaped Architecture Integrating Cnn and Transformer For Improved Feature Alignment and Local Information Fusion, by Bin Wang et al.
WiTUnet: A U-Shaped Architecture Integrating CNN and Transformer for Improved Feature Alignment and Local Information…
Summary of Application Of the Representative Measure Approach to Assess the Reliability Of Decision Trees in Dealing with Unseen Vehicle Collision Data, by Javier Perera-lago et al.
Application of the representative measure approach to assess the reliability of decision trees in dealing…
Summary of Gnnavigator: Towards Adaptive Training Of Graph Neural Networks Via Automatic Guideline Exploration, by Tong Qiao and Jianlei Yang and Yingjie Qi and Ao Zhou and Chen Bai and Bei Yu and Weisheng Zhao and Chunming Hu
GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Explorationby Tong Qiao, Jianlei…