June 14, 2016 preprint Open access Learning to learn by gradient descent by gradient descent arXiv (Cornell University) DOI: 10.48550/arxiv.1606.04474 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 6 stored of 338 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 Learning to select the recombination operator for derivative-free optimization 2024 Science China Mathematics article Computer Science Metaheuristic Optimization Algorithms Research Open access 6 citations Subspace Adaptation Prior for Few-Shot Learning 2023 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access 4 citations Are LSTMs good few-shot learners? 2023 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access 12 citations Stateless neural meta-learning using second-order gradients 2022 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access 9 citations Metalearning for Deep Neural Networks 2022 Cognitive technologies book-chapter Computer Science Domain Adaptation and Few-Shot Learning Open access 4 citations Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise 2020 Lecture notes in computer science conference-paper Computer Science Adversarial Robustness in Machine Learning Open access 1 citations 6 results References 0