Erin Grant
- Getting aligned on representational alignment
2023/10/18 by Ilia Sucholutsky, Sucholutsky, Ilia, Lukas Muttenthaler +66 · 10 voices · 35 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · Neuroscience · #Bioinformatics and Genomic Networks #Machine Learning in Materials Science #Neural dynamics and brain function #cs.AI #cs.LG #cs.NE #q-bio.NC
- Are Convolutional Neural Networks or Transformers more like human vision?
2021/05/15 by Shikhar Tuli, Ishita Dasgupta, Tuli, Shikhar +5 · 2 voices · 8 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Visual Attention and Saliency Detection #cs.CV
- Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
2018/01/26 by Erin Grant, Chelsea Finn, Grant, Erin +7 · 27 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 and Data Classification
- The Transient Nature of Emergent In-Context Learning in Transformers
2023/11/14 by Aaditya K. Singh, Singh, Aaditya K., Stephanie C. Y. Chan +10 · 1 voice · 12 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Gaussian Processes and Bayesian Inference #Neural Networks and Applications #cs.AI #cs.CL #cs.LG
- Bayes in the age of intelligent machines
2023/11/16 by Thomas L. Griffiths, Jian-Qiao Zhu, Griffiths, Thomas L. +5 · 2 voices · 2 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Bayesian Modeling and Causal Inference #Neural Networks and Applications
- Gaussian Process Surrogate Models for Neural Networks
2022/08/11 by Michael Y. Li, Erin Grant, Li, Michael Y. +3 · 1 citation
Computer Science · Engineering · #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification #Fault Detection and Control Systems