Conceptio
›
Archive
›
arXiv (All)
arXiv (All)
open access
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher
Ji, Guangda et al.
arXiv (All) · Papers · License: Open Access
Open Source ↗
Direct PDF ↓
machine learning, artificial intelligence
This document is indexed with metadata only — full text is not available in the archive for this record.
Open the official source ↗
Related documents
Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning
#1037721
ALPCAHUS: Subspace Clustering for Heteroscedastic Data
#1037723
Transfer Learning for Matrix Completion
#1037729
Temporal Conformal Prediction (TCP): Rolling Calibration for Financial Risk Forecasting
#1037730
Record
· ID 974116
Retrieved via
Conceptio
— every document is proof-bundled with source, license, and retrieval metadata.