Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
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Frontiers in Machine Learning: Climate Impact of Machine Learning
Microsoft has made an ambitious commitment to remove its carbon footprint in response to the overwhelming urgency of addressing climate change. Meanwhile, recent advances in machine learning (ML) models, such as transformer-based NLP, have produced…
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Frontiers in Machine Learning: Learning from Limited Labeled Data: Challenges and Opportunities for NLP
Modern machine learning applications have enjoyed a great boost utilizing neural networks models, allowing them to achieve state-of-the-art results on a wide range of tasks. Such models, however, require large amounts of annotated data for…
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Frontiers in Machine Learning: Saving Lives with Interpretable ML
This session is about Saving Lives Using Interpretable Machine Learning in HealthCare. It’s critical to make sure healthcare models are safe to deploy. One challenge is that most patients are receiving treatment and that affects…
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Frontiers in Machine Learning: Machine Learning Reliability and Robustness
As Machine Learning (ML) systems are increasingly becoming part of user-facing applications, their reliability and robustness are key to building and maintaining trust with users and customers, especially for high-stake domains. While advances in learning…
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Frontiers in Machine Learning: Big Ideas in Causality and Machine Learning
Causal relationships are stable across distribution shifts. Models based on causal knowledge have the potential to generalize to unseen domains and offer counterfactual predictions: how do outcomes change if a certain feature is changed in…
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Frontiers in Machine Learning: Beyond Fairness: Pushing ML Frontiers for Social Equity [Panel]
At its core, machine learning is the artful science of statistically divining patterns from stores of data—typically, lots of data. Much of these data are drawn from sources as diverse as tweets and Creative Commons…
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Frontiers in Machine Learning: Security and Machine Learning
Machine learning has enabled many advances in processing visual, language, and other digital data signals and, as a result, is quickly becoming integrated in a variety of real-world systems with important societal and business purposes.…
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Frontiers in Machine Learning: Accelerating Machine Learning with Confidential Computing
In the recent years, Machine Learning (ML) has facilitated key applications, such as medical imaging, video analytics, and financial forecasting. Understanding the massive computing requirements of ML, cloud providers have been investing in accelerated ML…
