Large-Scale Machine Learning with Stochastic Gradient Descent

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

• Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Large-Scale Machine Learning with Stochastic Gradient DescentLegacy edge — source detail unavailable
• On hyperparameter optimization of machine learning algorithms: Theory and practice→Large-Scale Machine Learning with Stochastic Gradient DescentLegacy edge — source detail unavailable
• Adaptive Federated Learning in Resource Constrained Edge Computing Systems→Large-Scale Machine Learning with Stochastic Gradient DescentLegacy edge — source detail unavailable
• Automatic differentiation in machine learning: a survey→Large-Scale Machine Learning with Stochastic Gradient DescentLegacy edge — source detail unavailable
• Federated Learning with Non-IID Data→Large-Scale Machine Learning with Stochastic Gradient DescentLegacy edge — source detail unavailable
• A Review of Relational Machine Learning for Knowledge Graphs→Large-Scale Machine Learning with Stochastic Gradient DescentLegacy edge — source detail unavailable
• Accessorize to a Crime→Large-Scale Machine Learning with Stochastic Gradient DescentLegacy edge — source detail unavailable
• ADVENT: Adversarial Entropy Minimization for Domain Adaptation in\n Semantic Segmentation→Large-Scale Machine Learning with Stochastic Gradient DescentLegacy edge — source detail unavailable
• Large-Scale Machine Learning with Stochastic Gradient Descent→Support-Vector NetworksLegacy edge — source detail unavailable
• Large-Scale Machine Learning with Stochastic Gradient Descent→Learning Internal Representations by Error PropagationLegacy edge — source detail unavailable
• Large-Scale Machine Learning with Stochastic Gradient Descent→Advances in Neural Information Processing Systems 19Legacy edge — source detail unavailable
• Large-Scale Machine Learning with Stochastic Gradient Descent→Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence DataLegacy edge — source detail unavailable
• Large-Scale Machine Learning with Stochastic Gradient Descent→RCV1: A New Benchmark Collection for Text Categorization ResearchLegacy edge — source detail unavailable
• Large-Scale Machine Learning with Stochastic Gradient Descent→On the Uniform Convergence of Relative Frequencies of Events to Their ProbabilitiesLegacy edge — source detail unavailable
• Large-Scale Machine Learning with Stochastic Gradient Descent→Training linear SVMs in linear timeLegacy edge — source detail unavailable
• Training linear SVMs in linear time→RCV1: A New Benchmark Collection for Text Categorization ResearchLegacy edge — source detail unavailable
• Accessorize to a Crime→Learning Internal Representations by Error PropagationLegacy edge — source detail unavailable
• Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Advances in Neural Information Processing Systems 19Legacy edge — source detail unavailable
• Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→On the Uniform Convergence of Relative Frequencies of Events to Their ProbabilitiesLegacy edge — source detail unavailable
• Adaptive Federated Learning in Resource Constrained Edge Computing Systems→Federated Learning with Non-IID DataLegacy edge — source detail unavailable