Multi-Resolution Weak Supervision for Sequential Data

Authors Frederic Sala, Paroma Varma, Jason Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James R. Priest, Christopher Ré Abstract Since manually labeling training data is slow and expensive, recent industrial and scientific research efforts have turned to weaker or noisier forms of supervision sources. However, existing weak supervision

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Becoming more mindful about visual information:  A Q&A with Alberto Cairo, author of ‘How Charts Lie’

Alberto Cairo is an associate professor and Knight Chair of Visual Journalism at the University of Miami. He recorded this interview with Alex Calderwood before delivering a lecture about his recently released book How Charts Lie: Getting Smarter about Visual Information. What spurred you to write this book? Have you been thinking about it for

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