Yingcong Li
- Transformers as Support Vector Machines
2023/08/31 by Davoud Ataee Tarzanagh, Yingcong Li, Tarzanagh, Davoud Ataee +5 · 5 voices · 5 citations
Computer Science · #Topic Modeling #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification
- Mechanics of Next Token Prediction with Self-Attention
2024/03/12 by Yingcong Li, Yixiao Huang, Li, Yingcong +7 · 2 voices · 5 citations
Engineering · #Metallurgy and Material Forming #Robotic Mechanisms and Dynamics
- Transformers as Algorithms: Generalization and Stability in In-context Learning
2023/01/17 by Yingcong Li, Li, Yingcong, M. Emrullah Ildiz +5 · 28 citations
Computer Science · #Machine Learning and Algorithms #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification
- From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers
2024/02/21 by M. Emrullah Ildiz, Yixiao Huang, Ildiz, M. Emrullah +7 · 9 citations
Computer Science · #Reinforcement Learning in Robotics
- Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond
2024/07/13 by Yingcong Li, Ankit Singh Rawat, Li, Yingcong +3 · 7 citations
Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Max-Margin Token Selection in Attention Mechanism
2023/06/23 by Davoud Ataee Tarzanagh, Tarzanagh, Davoud Ataee, Yingcong Li +5 · 4 citations
Computer Science · #Topic Modeling #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications
- When and How Unlabeled Data Provably Improve In-Context Learning
2025/06/18 by Yingcong Li, Xiangyu Chang, Li, Yingcong +8 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Optimization and Control (math.OC)