LeVine, Will

1. A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift
   2023/11/21 by LeVine, Will, Pikus, Benjamin, Chen, Anthony +1 · 4 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. Enabling Calibration In The Zero-Shot Inference of Large Vision-Language Models
   2023/03/11 by Will LeVine, LeVine, Will, Benjamin Pikus +5 · 3 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. When are Deep Networks really better than Decision Forests at small sample sizes, and how?
   2021/08/31 by Xu, Haoyin, Kinfu, Kaleab A., LeVine, Will +9 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neurons and Cognition (q-bio.NC)
4. Simple Lifelong Learning Machines
   2020/04/27 by Jayanta Dey, Joshua T. Vogelstein, Dey, Jayanta +27 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)