The 36th International Conference on Machine Learning (ICML) is by all accounts a premier conference in the machine learning world. Thousands of papers are submitted and thousands of people from around the world travel to attend the weeklong conference. This year was no different with over 6,000 attendees and 2,473 submitted papers. Only 621 papers… Continue reading Snapshots of ICML 2019
By Prithviraj Ammanabrolu People affect change in the world all the time using natural language communication. Grounding such communication in real world actions is a well-studied and notoriously complex task, even the data gathering step is difficult. So does there exist a platform on which we could more easily simulate such communication? And the answer… Continue reading Playing Text-adventure Games with an AI
By Samarth Brahmbhatt and Charlie Kemp Paper (CVPR 2019 oral) | bib | Explore ContactdB Paper by Samarth Brahmbhatt, Cusuh Ham, Charlie Kemp, and James Hays Georgia Institute of Technology Many times a day, people effortlessly grasp objects, yet human grasping is a complex phenomenon that has proven challenging to emulate and analyze. If robots… Continue reading ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging
By Sebastian Pokutta, associate director of ML@GT TL;DR: This is an informal summary of our recent paper Blended Conditional Gradients with Gábor Braun, Dan Tu, and Stephen Wright, showing how mixing Frank-Wolfe and Gradient Descent gives a new, very fast, projection-free algorithm for constrained smooth convex minimization. What is the paper about and why you might care Frank-Wolfe methods [FW]… Continue reading Mixing Frank-Wolfe and Gradient Descent
The Machine Learning Center at Georgia Tech (ML@GT) Speaker Series draws leading researchers from across academia and industry each semester to present on current topics in machine learning and artificial intelligence, applications for the technologies, and related insights and experiences. The popular series averages more than 100 attendees for each talk. This spring, ML@GT invited… Continue reading 9 Questions with Google AI’s Maya Gupta; Teaching computers to gamble well, knowing how to play the ‘career game,’ and a solution to boring plane rides
The Machine Learning Center at Georgia Tech (ML@GT) Speaker Series draws leading researchers from across academia and industry each semester to present on current topics in the field, applications for machine learning and artificial intelligence, and related experiences. The series is wildly popular, with attendance averaging over 100 guests for each event. This spring, ML@GT… Continue reading 13 Questions with Manuela Veloso
By Upol Ehsan, Ph.D. Student, School of Interactive Computing, Georgia Tech (contributing writer; Joshua Preston, GVU Center) If the power of AI is to be democratized, it needs to be accessible to anyone regardless of their technical abilities. As AI pervades all aspects of our lives, there is a distinct need for human-centered AI design… Continue reading Georgia Tech’s Newest AI System Can Mimic Thinking Out Loud and Explain Its Decision to Non-Experts in Real-time
In a few short months, as some students graduate and others prepare for summer break, the Machine Learning Center at Georgia Tech will be getting a new home. Faculty and graduate students will move to Coda, the newest addition to Georgia Tech’s growing presence in Tech Square and a mile east from the center’s current… Continue reading Home Sweet Coda
Earning a Ph.D. is no easy task. It involves a lot of time, reading, writing, revising, research, and money. When an advisor and student feel that a student’s thesis has finally reached strong conclusions, it is time to defend it. A successful defense is the key to earning the sacred diploma and is likely something… Continue reading What is a Ph.D. Defense and How To Nail Yours
Every semester the Machine Learning Center at Georgia Tech is thrilled to bring renowned researchers and industry experts to campus as a part of our seminar series. The series allows our students to hear talks from some of the leading minds in machine learning and artificial intelligence. Seminars are typically held every other Wednesday at… Continue reading ML@GT Spring Seminar Series
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