Yue Xin

Machine Learning (4) Optimization & Theory · Machine Learning (4) Artificial Intelligence (3) Deep Learning (3) Core AI (3) Learning Types · Deep Learning (2) Learning Types · Machine Learning (2) Core Methods (1) Learning Paradigms (1) Models (1) Optimization & Theory · Deep Learning (1)

neural network optimization (2) few-shot learning (2) learning theory (2) chain-of-thought reasoning (1) adversarial training (1) model interpretability (1) hessian matrix (1) interaction detection (1) deep neural network (1) parameter-efficient fine-tuning (1) gradient norm (1) training dynamics (1) low-rank optimization (1) chain-of-thought prompting (1) shapley value (1) representation fine-tuning (1) information flow analysis (1) interaction learning (1) network parameter (1) critical representation (1)