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05/10/2022
Privacy Enhancement for Cloud-Based Few-Shot Learning
Requiring less data for accurate models, few-shot learning has shown rob...
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03/07/2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Few-Shot Learning refers to the problem of learning the underlying patte...
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11/17/2021
Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks
Recent advances in neural networks have solved common graph problems suc...
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10/28/2021
Pruning Attention Heads of Transformer Models Using A* Search: A Novel Approach to Compress Big NLP Architectures
Recent years have seen a growing adoption of Transformer models such as ...
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07/25/2020