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Researchers at USC Propose Self-Attentive Pooling Method for Efficient Deep Learning
In recent years, CNN architectures have made remarkable progress in various challenging vision tasks, including semantic segmentation and object classification. Large activation maps in...
AI Researchers Propose An Easy-To-Use Federated Learning Framework Called ‘FedCV’ For...
Federated Learning (FL) is a distributed learning paradigm that can learn a global or a personalized model for each user relying on decentralized data...
USC Researchers Propose a Novel Learning Framework, ‘Group-Supervised Learning (GSL)’, To...
Artificial intelligence has proven itself to be adept at many tasks, from inventing human faces that don't exist to winning games of poker. However,...