Summary of Semi-supervised Risk Control Via Prediction-powered Inference, by Bat-sheva Einbinder et al.
Semi-Supervised Risk Control via Prediction-Powered Inferenceby Bat-Sheva Einbinder, Liran Ringel, Yaniv RomanoFirst submitted to arxiv…
Semi-Supervised Risk Control via Prediction-Powered Inferenceby Bat-Sheva Einbinder, Liran Ringel, Yaniv RomanoFirst submitted to arxiv…
GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillationby Ziang Zhou, Zhihao Ding, Jieming Shi, Qing…
Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networksby Elad Shoham, Hadar Cohen,…
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,…
TrimLLM: Progressive Layer Dropping for Domain-Specific LLMsby Lanxiang Hu, Tajana Rosing, Hao ZhangFirst submitted to…
Uni-AdaFocus: Spatial-temporal Dynamic Computation for Video Recognitionby Yulin Wang, Haoji Zhang, Yang Yue, Shiji Song,…
PromptV: Leveraging LLM-powered Multi-Agent Prompting for High-quality Verilog Generationby Zhendong Mi, Renming Zheng, Haowen Zhong,…
Entropy-Regularized Process Reward Modelby Hanning Zhang, Pengcheng Wang, Shizhe Diao, Yong Lin, Rui Pan, Hanze…
A Contextualized BERT model for Knowledge Graph Completionby Haji Gul, Abdul Ghani Naim, Ajaz A.…