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Found 7 papers, 4 papers with code
ADELT: Transpilation Between Deep Learning Frameworks
We propose Adversarial DEep Learning Transpiler (ADELT) for source-to-source transpilation between deep learning frameworks.
Joint Language Semantic and Structure Embedding for Knowledge Graph Completion
Unlike previous approaches that rely on either the structures or semantics of the knowledge graphs, we propose to jointly embed the semantics in the natural language description of the knowledge triplets with their structure information.
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PlotCoder: Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context
Creating effective visualization is an important part of data analytics.
Anytime Sampling for Autoregressive Models via Ordered Autoencoding
Experimentally, we demonstrate in several image and audio generation tasks that sample quality degrades gracefully as we reduce the computational budget for sampling.
MC-BERT: Efficient Language Pre-Training via a Meta Controller
Pre-trained contextual representations (e. g., BERT) have become the foundation to achieve state-of-the-art results on many NLP tasks.
Microsoft Research Asia's Systems for WMT19
We Microsoft Research Asia made submissions to 11 language directions in the WMT19 news translation tasks.
What Does a TextCNN Learn?
TextCNN, the convolutional neural network for text, is a useful deep learning algorithm for sentence classification tasks such as sentiment analysis and question classification.
