- Neural Architecture Search for Class-incremental Learning
2019/09/14 by Shenyang Huang, Vincent François-Lavet, Huang, Shenyang +3 · 10 citations
Computer Science · Engineering · Mathematics · #Architecture #Artificial intelligence #Artificial neural network #Class (philosophy) #Competitive learning #Computer science #Context (archaeology) #Domain Adaptation and Few-Shot Learning #Engineering #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning and ELM #Machine learning #Reinforcement learning #Task (project management) #cs.LG #stat.ML
- A critique of pure learning and what artificial neural networks can learn from animal brains
2019/08/21 by Anthony M. Zador · 557 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Neural Networks and Applications #Zebrafish Biomedical Research Applications #Domain Adaptation and Few-Shot Learning #Bottleneck #Artificial intelligence #Artificial neural network #Computer science #Unsupervised learning #Competitive learning #Machine learning #Genome #Deep learning #Supervised learning #Animal behavior #Biology #Genetics
- Local Aggregation for Unsupervised Learning of Visual Embeddings
2019/03/29 by Chengxu Zhuang, Zhuang, Chengxu, Alex Lin Zhai +4 · 78 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Artificial intelligence #Cluster analysis #Competitive learning #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Convolutional neural network #Deep learning #Domain Adaptation and Few-Shot Learning #Embedding #FOS: Computer and information sciences #Machine learning #Metric (unit) #Multimodal Machine Learning Applications #Pascal (unit) #Pattern recognition (psychology) #Transfer of learning #Unsupervised learning #cs.AI #cs.CV