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AutoADR: Automatic Model Design for Ad Relevance
Large-scale pre-trained models have attracted extensive attention in the...
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Multivariate Time-series Anomaly Detection via Graph Attention Network
Anomaly detection on multivariate time-series is of great importance in ...
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Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering
Knowledge-based Visual Question Answering (KVQA) requires external knowl...
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Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering
Fact-based Visual Question Answering (FVQA) requires external knowledge ...
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Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based VisualQuestion Answering
Fact-based Visual Question Answering (FVQA) requires external knowledge ...
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LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression
BERT is a cutting-edge language representation model pre-trained by a la...
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Improving BERT with Self-Supervised Attention
One of the most popular paradigms of applying large, pre-trained NLP mod...
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Deeper Insights into Weight Sharing in Neural Architecture Search
With the success of deep neural networks, Neural Architecture Search (NA...
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TextNAS: A Neural Architecture Search Space tailored for Text Representation
Learning text representation is crucial for text classification and othe...
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Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application
The graph is a natural representation of data in a variety of real-world...
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A Code injection Method for Rapid Docker Image Building
Docker images are built by layers, yet the current implementation has ma...
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Developing a Process in Architecting Microservice Infrastructure with Docker, Kubernetes, and Istio
As an application usage grows, its owner scales up vertically by replaci...
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Adapting a Container Infrastructure for Autonomous Vehicle Development
In the field of Autonomous Vehicle (AV) development, having a robust yet...
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An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation
Graph Convolutional Network (GCN) has attracted intensive interests rece...
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Time-Series Anomaly Detection Service at Microsoft
Large companies need to monitor various metrics (for example, Page Views...
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A Right-of-Way Based Strategy to Implement Safe and Efficient Driving at Non-Signalized Intersections for Automated Vehicles
Non-signalized intersection is a typical and common scenario for connect...
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