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  • title: Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks
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            Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks
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            Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks

            May 6, 2019

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            Victor Schmidt

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            About

            Our workshop "AI for Social Good" will focus on applying artificial intelligence to solve problems important for society. The focus is on machine learning for the following areas: education, protecting democracy, urban planning, assistive technology for people with disabilities, health, agriculture, environmental sustainability, social welfare and justice and, sustainable development We believe that these fields are those where AI can have its strongest impact on society by reducing human suffer…

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            ICLR 2019

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            AI & Data Science

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            Geography & Earth Sciences

            Category · 109 presentations

            About ICLR 2019

            The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning. ICLR is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics.

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