{"id":18674,"date":"2019-11-12T13:43:08","date_gmt":"2019-11-12T18:43:08","guid":{"rendered":"https:\/\/www.bu.edu\/hic\/?p=18674"},"modified":"2019-11-19T15:03:05","modified_gmt":"2019-11-19T20:03:05","slug":"learning-to-learn-more-with-less","status":"publish","type":"post","link":"https:\/\/www.bu.edu\/hic\/2019\/11\/12\/learning-to-learn-more-with-less\/","title":{"rendered":"Learning to Learn More with Less"},"content":{"rendered":"

\"\"<\/a><\/a><\/strong>AIR Speaker Series<\/strong><\/h3>\n
Yuxiong Wang<\/a>,\u00a0Postdoctoral Fellow, Robotics Institute, Carnegie Mellon University<\/a><\/h5>\n

When:<\/strong>
\nMonday, November 18, 2019
\n12:00pm-1:00pm<\/p>\n

Where: <\/strong>
\nHariri Institute for Computing, Seminar Room MCS 157, 111 Cummington Mall, Boston, MA<\/p>\n

\n

Abstract:
\n<\/strong>Understanding how humans and machines learn from a few examples remains a fundamental challenge. Humans are remarkably capable of grasping new concepts from just a few examples or learn a new skill from just a few trials. By contrast, state-of-the-art machine learning techniques typically require thousands of training examples and often break down if the training sample set is too small.<\/p>\n

In this talk, I will discuss our efforts towards endowing visual learning systems with few-shot learning ability. Our key insight is that the visual world is well structured and highly predictable not only in feature spaces but also in the under-explored model and data spaces. Such structures and regularities enable the systems to learn how to learn new tasks rapidly by re-using previous experiences. I will focus on a few topics to demonstrate how to leverage this idea of learning to learn, or meta-learning, to address a broad range of few-shot learning tasks: meta-learning in model space and task-oriented generative modeling. I will also discuss some ongoing work towards building machines that can operate in highly dynamic and open environments, making intelligent and independent decisions based on insufficient information.<\/p>\n

\n

\"\"Bio:
\n<\/strong><\/span>Yuxiong Wang is a postdoctoral fellow in the Robotics Institute at Carnegie Mellon University. He received a Ph.D. in robotics in 2018 from Carnegie Mellon University. His research interests lie in the intersection of computer vision, machine learning, and robotics, with a particular focus on few-shot learning and meta-learning. He has spent time at Facebook AI Research (FAIR).<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

AIR Speaker Series Yuxiong Wang,\u00a0Postdoctoral Fellow, Robotics Institute, Carnegie Mellon University When: Monday, November 18, 2019 12:00pm-1:00pm Where: Hariri Institute for Computing, Seminar Room MCS 157, 111 Cummington Mall, Boston, MA Abstract: Understanding how humans and machines learn from a few examples remains a fundamental challenge. Humans are remarkably capable of grasping new concepts from […]<\/p>\n","protected":false},"author":8550,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[11771,11748],"tags":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/hic\/wp-json\/wp\/v2\/posts\/18674"}],"collection":[{"href":"https:\/\/www.bu.edu\/hic\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bu.edu\/hic\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/hic\/wp-json\/wp\/v2\/users\/8550"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/hic\/wp-json\/wp\/v2\/comments?post=18674"}],"version-history":[{"count":7,"href":"https:\/\/www.bu.edu\/hic\/wp-json\/wp\/v2\/posts\/18674\/revisions"}],"predecessor-version":[{"id":18683,"href":"https:\/\/www.bu.edu\/hic\/wp-json\/wp\/v2\/posts\/18674\/revisions\/18683"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/hic\/wp-json\/wp\/v2\/media?parent=18674"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bu.edu\/hic\/wp-json\/wp\/v2\/categories?post=18674"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bu.edu\/hic\/wp-json\/wp\/v2\/tags?post=18674"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}