Category: Research

Machine Learning to Present Seven Papers at Prestigious Deep Learning Conference

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Researchers from the Machine Learning Center at Georgia Tech (ML@GT) will present seven papers at the Ninth Annual International Conference on Learning Representations (ICLR). Accepted research will present new findings on topics such as increasing multi-platform deployment and semi-supervised object detection. [RELATED STORY: New Model Defense Strategy Prevents Cloning] ML@GT Associate Director and School of… Continue reading Machine Learning to Present Seven Papers at Prestigious Deep Learning Conference

Researchers Present Eight Papers at Top Machine Learning and Statistics Conference

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Researchers from the Machine Learning Center at Georgia Tech (ML@GT) will present eight papers at the 24th International Conference on Artificial Intelligence and Statistics (AISTATS.) One paper by four Georgia Tech researchers, including ML@GT Associate Director Yao Xie, was accepted as an oral presentation, an accomplishment that only 3.1% of more than 1,500 accepted papers… Continue reading Researchers Present Eight Papers at Top Machine Learning and Statistics Conference

Isbell to Present Keynote at Premier Neural Processing Conference

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With 28 papers to present, the Machine Learning Center at Georgia Tech (ML@GT) is poised to make a big splash at the 2020 Neural Processing and Information Systems (NeurIPS) conference. Adding to the excitement is ML@GT faculty member and Dean of Georgia Tech’s College of Computing, Charles Isbell, will give an invited talk. Isbell’s talk,… Continue reading Isbell to Present Keynote at Premier Neural Processing Conference

ML@GT Further Establishes Itself in Natural Language Processing Community

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Over the years, the Machine Learning Center at Georgia Tech (ML@GT) has steadily been increasing its presence in the natural language processing (NLP) community. With a few new hires this fall and a big performance at this year’s Conference on Empirical Methods in Natural Language Processing (EMNLP), ML@GT is becoming a major player in the field. With 10 papers accepted… Continue reading ML@GT Further Establishes Itself in Natural Language Processing Community

Being Polite Can Be Essential to Getting a Loan

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How can someone be persuaded to loan money to a random stranger on the internet? Does the requestor need to be polite or explain the impact the loan would have? Or perhaps they should demonstrate their credibility or use facts to help others understand their need. Does one of these strategies lead to success more… Continue reading Being Polite Can Be Essential to Getting a Loan

ML@GT Introduces Machine Learning and AI Cluster at INFORMS Conference

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Researchers at Georgia Tech are organizing the first ever machine learning and artificial intelligence (AI) cluster at this year’s INFORMS conference. The cluster is being created as INFORMS, one of the major conferences for operations research and analytics, is integrating machine learning more fully into its agenda. Yao Xie and George Lan, associate directors at… Continue reading ML@GT Introduces Machine Learning and AI Cluster at INFORMS Conference

Learning Machines: Neurocomputing Explained by Chris Rozell

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Welcome to Learning Machines, where we chat with faculty members from the Machine Learning Center at Georgia Tech (ML@GT) about their main research area and what the future holds for their field. Today we talked with Chris Rozell, a professor in the School of Electrical and Computer Engineering and ML@GT faculty member, where he explained what exactly neurocomputing… Continue reading Learning Machines: Neurocomputing Explained by Chris Rozell

Learning Machines: Natural Language Processing Explained with Diyi Yang

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Welcome to Learning Machines, where we’ll talk with faculty members from the Machine Learning Center at Georgia Tech (ML@GT) about their main research area and the future of their work. Today we talked with Diyi Yang, an assistant professor in ML@GT and the School of Interactive Computing. Yang’s lab, Social and Language Technologies (SALT), combines… Continue reading Learning Machines: Natural Language Processing Explained with Diyi Yang

New Algorithm Follows Human Intuition to Make Visual Captioning More Grounded

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Annotating and labeling datasets for machine learning problems is an expensive and time-consuming process for computer vision and natural language scientists. However, a new deep learning approach is being used to decode, localize, and reconstruct image and video captions in seconds, making the machine-generated captions more reliable and trustworthy. To solve this problem, researchers at… Continue reading New Algorithm Follows Human Intuition to Make Visual Captioning More Grounded

ML@GT to Present Nine Papers at Competitive Machine Learning Conference

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The International Conference on Machine Learning (ICML) received nearly 5,000 submissions for its 2020 conference and accepted 1,088 papers. Machine Learning Center at Georgia Tech (ML@GT) researchers authored nine accepted papers. The papers explore topics like privacy, semantics in predictive agents, data science, and artificial intelligence. One paper, Boosting Frank-Wolfe by Chasing Gradients, proposes a new state-of-the-art algorithm for constrained… Continue reading ML@GT to Present Nine Papers at Competitive Machine Learning Conference