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Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

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Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

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Semi-supervised Learning with Semantic Knowledge Extraction for Improved Speech Recognition in Air Traffic Control

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Semi-supervised Learning with Semantic Knowledge Extraction for Improved Speech Recognition in Air Traffic Control

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Theory of representation learning in cortical neural networks

Unsupervised Learning of Long-Term Motion Dynamics for Videos

Large Scale Graph Learning from Smooth Signals

Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma

Scalable Metric Learning via Weighted Approximate Rank Component Analysis

Optimized Distributed Hyperparameter Search and Simulation for Lung Texture Classification in CT Using Hadoop

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Scalable Unsupervised Domain Adaptation for Electron Microscopy