Yamins, Daniel

1. On Mutual Information in Contrastive Learning for Visual Representations
   2020/05/27 by Mike Wu, Wu, Mike, Chengxu Zhuang +7 · 15 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)
2. Explanatory models in neuroscience: Part 1 -- taking mechanistic abstraction seriously
   2021/04/03 by Rosa Cao, Daniel Yamins, Cao, Rosa +1 · 6 citations
   Neuroscience · Biochemistry, Genetics and Molecular Biology · #Neural dynamics and brain function #Functional Brain Connectivity Studies #Cell Image Analysis Techniques
3. Unsupervised Learning from Video with Deep Neural Embeddings
   2019/05/28 by Zhuang, Chengxu, She, Tianwei, Andonian, Alex +2 · 4 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Toward Goal-Driven Neural Network Models for the Rodent\n Whisker-Trigeminal System
   2017/06/22 by Chengxu Zhuang, Zhuang, Chengxu, Jonas Kubilius +5 · 3 citations
   Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Biological sciences #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
5. Local Aggregation for Unsupervised Learning of Visual Embeddings
   2019/03/29 by Zhuang, Chengxu, Zhai, Alex Lin, Yamins, Daniel · 3 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
6. Active World Model Learning with Progress Curiosity
   2020/07/15 by Kuno Kim, Megumi Sano, Kim, Kuno +7 · 3 citations
   Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #Evolutionary Game Theory and Cooperation #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
7. Conditional Negative Sampling for Contrastive Learning of Visual Representations
   2020/10/05 by Mike Wu, Milan Mosse, Wu, Mike +7 · 3 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. Flexible and Efficient Long-Range Planning Through Curious Exploration
   2020/04/22 by Aidan Curtis, Curtis, Aidan, Minjian Xin +7 · 1 citation
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotic Path Planning Algorithms #Robotics (cs.RO)
9. Model-brain comparison using inter-animal transforms
   2025/10/02 by Imran Thobani, Javier Sagastuy-Brena, Javier Sagastuy-Breña +10 · 1 voice · 3 citations
   Computer Science · Neuroscience · #Embodied and Extended Cognition #FOS: Computer and information sciences #Face Recognition and Perception #Machine Learning (cs.LG) #Neural dynamics and brain function #cs.LG