Data structures called knowledge graphs (KGs) are used to hold data about various entities (represented as nodes) and their relationships (as edges). Computing knowledge...
Estimating the effect of a binary intervention from historical observational data has been extensively investigated within the causal inference literature. However, the main goal...
Millions of products are available in e-commerce stores' catalogs. A significant portion of these products is listed by independent vendors. There are often errors...
Some of the most significant developments in AI have come through supervised learning. It speaks about computer learning models that have been trained using...
Rare observations where a system deviates from its typical behavior are known as outliers. They appear in numerous real-world applications (such as medicine and...
The performance of machine translation systems, which previously relied on phrase-based systems, has suddenly improved with the advent of neural network-based models. An open-source...
Artificial Intelligence has shown promising results across numerous areas, revolutionizing our daily lives. Machines can now understand human language thanks to natural language processing...
Joint image-text embedding is the foundation of most Vision-and-Language (V+L) tasks, where multimodality inputs are simultaneously processed for combined visual and textual understanding. It...
The top-performing AI systems have deep neural networks at their core. For instance, Transformer-based language models like BERT are typically the foundation for natural...
With the launch of Amazon CodeWhisperer, an AI-powered coding aid service, Amazon Web Services Inc. has made its first addition to its cloud offering....
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