Summary of Gnns-to-mlps by Teacher Injection and Dirichlet Energy Distillation, By Ziang Zhou et al.
GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillationby Ziang Zhou, Zhihao Ding, Jieming Shi, Qing…
GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillationby Ziang Zhou, Zhihao Ding, Jieming Shi, Qing…
Deep Learning-based Approaches for State Space Models: A Selective Reviewby Jiahe Lin, George MichailidisFirst submitted…
Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networksby Cyrus Neary, Nathan Tsao,…
Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networksby Elad Shoham, Hadar Cohen,…
Uni-AdaFocus: Spatial-temporal Dynamic Computation for Video Recognitionby Yulin Wang, Haoji Zhang, Yang Yue, Shiji Song,…
TrimLLM: Progressive Layer Dropping for Domain-Specific LLMsby Lanxiang Hu, Tajana Rosing, Hao ZhangFirst submitted to…
Wasserstein Bounds for generative diffusion models with Gaussian tail targetsby Xixian Wang, Zhongjian WangFirst submitted…
Transformer-Based Bearing Fault Detection using Temporal Decomposition Attention Mechanismby Marzieh Mirzaeibonehkhater, Mohammad Ali Labbaf-Khaniki, Mohammad…
Are Expressive Models Truly Necessary for Offline RL?by Guan Wang, Haoyi Niu, Jianxiong Li, Li…
Prediction-Enhanced Monte Carlo: A Machine Learning View on Control Variateby Fengpei Li, Haoxian Chen, Jiahe…