Mike Wu

1. Multimodal Generative Models for Scalable Weakly-Supervised Learning
   2018/02/14 by Mike Wu, Wu, Mike, Noah D. Goodman +1 · 26 citations
   Computer Science · #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
2. On Mutual Information in Contrastive Learning for Visual Representations
   2020/05/27 by Mike Wu, Chengxu Zhuang, Wu, Mike +7 · 11 citations
   Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
   2017/11/16 by Mike Wu, Wu, Mike, Michael C. Hughes +9 · 7 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning in Healthcare
4. Gradient Boosting Machine: A Survey
   2019/08/19 by Zhiyuan He, Danchen Lin, He, Zhiyuan +5 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural Networks and Applications
5. Multimodal Generative Models for Compositional Representation Learning
   2019/12/11 by Mike Wu, Noah D. Goodman, Wu, Mike +1 · 2 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Topic Modeling
6. Variational Item Response Theory: Fast, Accurate, and Expressive
   2020/02/01 by Mike Wu, Richard L. Davis, Wu, Mike +7 · 2 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
7. Conditional Negative Sampling for Contrastive Learning of Visual Representations
   2020/10/05 by Mike Wu, Wu, Mike, Milan Mosse +7 · 2 citations
   Computer Science · #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
8. Viewmaker Networks: Learning Views for Unsupervised Representation Learning
   2020/10/14 by Alex Tamkin, Tamkin, Alex, Mike Wu +3 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
9. Temperature as Uncertainty in Contrastive Learning
   2021/10/08 by Oliver Zhang, Mike Wu, Zhang, Oliver +5 · 2 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
10. Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study
    2021/12/10 by A. Vijay Karthik, Karthik, Ananya, Mike Wu +5 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Remote-Sensing Image Classification