November 06, 2014 preprint Open access How transferable are features in deep neural networks? arXiv (Cornell University) DOI: 10.48550/arxiv.1411.1792 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 3,400 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Transfer Learning and Curriculum Learning in Sokoban 2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access 1 citations Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling 2021 Crystals article Materials Science Machine Learning in Materials Science Open access cited by 3 patents 40 citations DeepXS: fast approximation of MSSM electroweak cross sections at NLO 2020 ReIn UW (University of Warsaw) article Physics and Astronomy Particle physics theoretical and experimental studies Open access 29 citations 3 results References 0