This year’s European Conference on Computer Vision (ECCV) showcases 1,360 papers – 15 of them from the Machine Learning Center at Georgia Tech (ML@GT.) The papers cover a vast array of topics including an idea on how to improve vision and language navigation and a new model that is learning to generate grounded visual captions… Continue reading ML@GT Makes a Strong Showing at Premier European Computer Vision Conference
We are pleased to have these new faculty join us starting this year. Siva Maguluri CoE / ISyE Devi Parikh CoC / IC Jacob Abernathy CoC / SCS Dhruv Batra CoC / IC Rachel Cummings CoE / ISyE Eva Dyer CoE / BME Wenjing Liao CoS / Math Thomas Ploetz CoC / IC Tuo Zhao… Continue reading Welcome to all the new Machine Learning Faculty to Georgia Tech
ML@GT hosted a special a seminar & a reception to celebrate Devi’ Parikh’s IJCAI's 2017 Computers and Thought Award. She will give a talk about her work and there will be a reception to celebrate her award. Date/Time: 9/5/2017 @ 3-4pm with a reception following to celebrate this award. Location: The Engineered Biosystems Building (EBB),… Continue reading Devi Parikh gives a seminar to celebrate her IJCAI 2017 Computers and Thought Award.
The list of accepted papers at ICML2017 was released yesterday and Andrej Karpathy has published a very nice post breaking down the acceptance by institution. Out of 1701 submissions 433 papers were accepted (or roughly 25.46%) from 420 different institutions. I am excited to see a very strong representation of Machine Learning @ Georgia Tech… Continue reading ICML 2017 accepted papers and ML@GT
Title: "Sum-Product Networks: The Next Generation of Deep Models" Speaker: Pedro Domingo (University of Washington) Date/Time: April 19, 2017, @ 12n (lunch served at 11:30am) Location: Engineered Biosystems Building (EBB), CHOA Room Abstract: The two main types of deep learning are function approximation and probability estimation. Function approximators like convolutional neural networks are robust and allow for real-time inference,… Continue reading ML@GT Distinguished Seminar by Pedro Domingo (UW) on “Sum-Product Networks: The Next Generation of Deep Models” 4/19/2017 @ 12n EBB
The InterdisciplinaryResearch Center for Machine Learning at Georgia Tech (ML@GT) is hosting its inaugural event on Monday, April 17, 2017, from 11 am - 7 pm. Details below. Time: Monday, April 17, 2017, from 11am - 7pm. Location: Technology Square Research Building, First Floor (Banquet Rooms TSRB 132/134) on Georgia Tech Campus (Map | Parking). Schedule Summary (Detailed… Continue reading ML@GT Launch Event + Celebration, April 17, 2017 11am – 7 pm, TSRB 132/134
NVIDIA and GT GPU Deep Learning Symposium, April 18Thanks to support from NVIDIA, we are hosting a deep learning symposium focused on the use of GPUs on April 18th, 10-3 in the Bill Moore Student Success Center. NVIDIA will be presenting some of its recent work with respect to deep learning as well as resources… Continue reading NVIDIA and GT GPU Deep Learning Symposium, April 18
The Machine Learning Center at Georgia Tech (ML@GT) invites you to the ML@GT Welcoming Celebration for faculty and students from across campus who are engaged in the field of Machine Learning. Come listen to those in the ML community speak about new research and how ML is changing our world. The day will feature talks from… Continue reading ML@GT Launch and Welcome Celebration, April 17, 2017 11am-5pm, TSRB Auditorium
Professor Ghassan Alregib's team was been selected to be the team hosting and running the IEEE VIP Cup in 2017 on "Traffic Sign Detection under Challenging Conditions." The topic is at the intersection of autonomous vehicles and machine learning. Not only it is attractive to the industry and the research communities but also the undergraduate students; the… Continue reading Ghassan Alregib’s Team (ECE) is hosting and running the IEEE VIP Cup in 2017 on the topic of “Traffic Sign Detection under Challenging Conditions”
The Center for Energy and Geo Processing (CeGP) hosted its 6th Annual workshop in Centergy (room 1010) on Monday and Tuesday, March 20-21, 2017. The workshop highlighted a number of talks from current and proposed CeGP projects that relate to advanced DSP and Machine Learning in Energy Applications. A few education presentations are also planned. CeGP is… Continue reading Sixth Annual Workshop hosted by the Center for Energy and Geo Processing (CeGP)
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