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AWS Researchers Developed A Knowledge Graph Embedding Library Called Deep Graph Knowledge Embedding Library (DGL-KE) Built On The Deep Graph Library (DGL)

AI Paper Summary
Data structures called knowledge graphs (KGs) are used to hold data about various entities (represented as nodes) and their relationships (as edges). Computing knowledge...

Amazon AI Researchers Introduce MEMENTO: Neural Model for Estimating Individual Treatment Effects for Multiple Treatments

AI Paper Summary
Estimating the effect of a binary intervention from historical observational data has been extensively investigated within the causal inference literature. However, the main goal...

Amazon AI Introduces ‘PAVE’: A Novel Reinforcement Learning Model That Uses Lazy-MDP Formalism To Improve Recall of Product Attribute Extraction Models

AI Paper Summary
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...

Amazon’s 20B-Parameter Alexa Model Sets New Marks In Few-Shot Learning Along With Low Carbon Footprint During Training (One-Fifth of GPT-3’s)

AI Paper Summary
Some of the most significant developments in AI have come through supervised learning. It speaks about computer learning models that have been trained using...

Amazon Researchers Designed A New Machine Learning Algorithm Based On Entropy Balancing That Learns Weights To Directly Maximize Causal Inference Accuracy Using End-To-End Optimization

AI Paper Summary
A causal effect means that a certain thing is happening based on something that has already occurred. In business, the causal effect of a...

Amazon AI Research Presents A Formal Method To Locate Root Causes Of Outliers

AI Paper Summary
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...

Amazon AI Releases PyTorch-Based ‘Sockeye 3’: The Latest Version of the Sockeye Toolkit for Neural Machine Translation (NMT)

AI Paper Summary
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...

Amazon AI Researchers Introduces ReFinED: A Novel Entity Linking (EL) System That Improves Entity Linking Between Texts And Knowledge Bases

AI Paper Summary
Artificial Intelligence has shown promising results across numerous areas, revolutionizing our daily lives. Machines can now understand human language thanks to natural language processing...

AI Researchers at Amazon Develop a Novel Technique by Training a Neural Network to Have Better Joint Representations of Image and Text

AI Paper Summary
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...

AWS Researchers Develop ‘TabTransformer’ to Bring the Power of Deep Learning to Data in Tables

AI Paper Summary
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...

Amazon Unveils ‘CodeWhisperer’: A New Service That Uses Machine Learning To Generate Code Suggestions For Software Developers

Amazon
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....

Researchers At Amazon Propose ‘AdaMix’, An Adaptive Differentially Private Algorithm For Training Deep Neural Network Classifiers Using Both Private And Public Image Data

AI Paper Summary
It is crucial to preserve privacy by restricting the amount of data that may be gathered about each training sample when training a deep...
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