3 papers
cs.LG2025
The Initialization Determines Whether In-Context Learning Is Gradient Descent
Shifeng Xie, Rui Yuan, Simone Rossi +1
In-context learning (ICL) in large language models (LLMs) is a striking phenomenon, yet its underlying mechanisms remain only partially understood. Previous work connects linear se…
cs.LG2025
Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learning
Shifeng Xie, Aref Einizade, Jhony H. Giraldo
Graph Representation Learning (GRL) is a fundamental task in machine learning, aiming to encode high-dimensional graph-structured data into low-dimensional vectors. Self-Supervised…
cs.LG2024
Variational Graph Contrastive Learning
Shifeng Xie, Jhony H. Giraldo
Graph representation learning (GRL) is a fundamental task in machine learning, aiming to encode high-dimensional graph-structured data into low-dimensional vectors. Self-supervised…