This spring the Machine Learning Center at Georgia Tech (ML@GT) will honor its first graduating class. The three graduates - Cyrille Combettes, Harsh Shrivistava, and Haoming Jiang – will be the first students awarded a doctorate degree in machine learning from Georgia Tech. “We are thrilled to celebrate our first graduating class from ML@GT. Each… Continue reading The Machine Learning Center Celebrates Its First Class of Graduates
Learning Machines: Polo Chau Explains Data Visualizations
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 Polo Chau, the associate director for corporate relations at ML@GT, an associate professor in the School of Computational Science and Engineering,… Continue reading Learning Machines: Polo Chau Explains Data Visualizations
What is a Ph.D. Defense and How To Nail Yours
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
How Not to Rock the Semantic Boat
By Yuval Pinter Imagine you’re building a boat, starting from a heap of parts. With each new board or screw, you make sure that it fits the adjacent parts, and that the material type is suitable for the section of the boat it’s in. But there are also bigger concerns to consider - is the… Continue reading How Not to Rock the Semantic Boat
What Makes a New Word Stick?
By Ian Stewart The language that people use to communicate online is in constant flux. People may have once written "haha" to indicate laughter but over time have adopted "lol" instead. Entire dictionaries and websites such as UrbanDictionary.com are dedicated to tracking the ebb and flow of the latest slang (i.e. nonstandard) words that propagate… Continue reading What Makes a New Word Stick?
Learning Rigidity and Scene Flow Estimation
By Zhaoyang Lv We live in a three-dimensional (3D), dynamic world every day. Being able to perceive 3D high-resolution motion is a fundamental ability of our perception system, which enables us to perform versatile jobs. At the age when we are building intelligent robots, autonomous vehicles, and augmented reality toolkits, how can we also enable… Continue reading Learning Rigidity and Scene Flow Estimation
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance
By: Prithvijit Chattopadhyay and Ramprasaath R. Selvaraju (Paper authors include Ramprasaath R. Selvaraju, Prithvijit Chattopadhyay, Mohamed Elhoseiny, Tilak Sharma, Dhruv Batra, Devi Parikh, and Stefan Lee) Deep Neural Networks have pushed the boundaries of standard image-classification tasks in the past few years, with performance on many challenging benchmarks reaching near human-level accuracies. One of the… Continue reading Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance
What is Graph R-CNN?
By Jianwei Yang and Jiasen Lu The following post breaks down Graph R-CNN for Scene Graph Generation, which will be presented at the European Conference on Computer Vision 2018 (ECCV). The conference takes place September 8th through 14th in Munich, Germany. Visual scene understanding has traditionally focused on identifying objects in images -- learning to predict their… Continue reading What is Graph R-CNN?
SHIELD: Defending Deep Neural Networks from Adversarial Attacks
by Nilaksh Das, PhD student at Georgia Institute of Technology in the School of Computational Science and Engineering. Das is advised by Polo Chau. “SHIELD is a fast and practical approach to defend deep neural networks from adversarial attacks. This work proposes a multifaceted framework which incorporates compression, randomization, model-retraining, and ensembling to make computer vision models robust to adversarial… Continue reading SHIELD: Defending Deep Neural Networks from Adversarial Attacks
New Ph.D. Program Highlights Growing Importance of Machine Learning
Eight Georgia Tech schools partner to offer advanced degree in emerging field of machine learning. The Georgia Institute of Technology has been approved to offer a new advanced degree program for the emerging field of machine learning.In a unanimous vote, the Board of Regents of the University System of Georgia approved Georgia Tech’s request to… Continue reading New Ph.D. Program Highlights Growing Importance of Machine Learning