Seminar by Nathan Silberman on “TF-Slim: A Lightweight Library for Defining, Training and Evaluating Complex Models in TensorFlow” Thursday Sep 7 2017, 4:30 pm – 5:45 pm in Clough 144

ML@GT Seminar and Guest Speaker for CS 7643 Deep Learning Title: TF-Slim: A Lightweight Library for Defining, Training and Evaluating Complex Models in TensorFlow Speaker: Nathan Silberman Date/Time: Thursday Sep 7 2017, 4:30 pm – 5:45 pm Location: Clough 144 Abstract: TF-Slim is a TensorFlow-based library with various components. These include modules for easily defining neural network models […]

Read More Seminar by Nathan Silberman on “TF-Slim: A Lightweight Library for Defining, Training and Evaluating Complex Models in TensorFlow” Thursday Sep 7 2017, 4:30 pm – 5:45 pm in Clough 144

ML/Statistics Seminar by Xiaodong Li on “Convex Relaxation for Community Detection”

Machine Learning/Statistics Seminar Series Date/Time: Thursday Sep 7 2017, 11:00 pm – 12:00 pm Location: Advisory Boardroom, #402 Groseclose Speaker: Xiaodong Li Title: Convex Relaxation for Community Detection Abstract: Cluster structures are ubiquitous for large data, and community detection has recently attracted much research attention in applied physics, sociology, computer science and statistics due to […]

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ML/Statistics Seminar by Jason Lee on “Matrix Completion, Saddlepoints, and Gradient Descent”

ML/Statistics Seminar Series Date/Time: Wed. Sep 6 2017, 3:00 pm – 4:00 pm Location: Advisory Boardroom, #402 Groseclose Speaker: Jason Lee Title: Matrix Completion, Saddlepoints, and Gradient Descent Abstract: Matrix completion is a fundamental machine learning problem with wide applications in collaborative filtering and recommender systems. Typically, matrix completion are solved by non-convex optimization procedures, […]

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Seminar by Soumith Chintala on “An Overview of Deep Learning Frameworks and an Introduction to PyTorch” 9/6/17, 12:30, Nano 1118

ML@GT Seminar Series Title: An Overview of Deep Learning Frameworks and an Introduction to PyTorch Speaker: Soumith Chintala, Facebook Date/Time: Wednesday Sep 6 2017, 12:30 pm – 1:30 pm Location: Marcus Nanotechnology Building, Room 1118 Abstract: In this talk, you will get an exposure to the various types of deep learning frameworks – declarative and imperative frameworks such […]

Read More Seminar by Soumith Chintala on “An Overview of Deep Learning Frameworks and an Introduction to PyTorch” 9/6/17, 12:30, Nano 1118

Devi Parikh gives a seminar to celebrate her IJCAI 2017 Computers and Thought Award.

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), […]

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ML/Statistics Seminar by Junwei Lu on “Topological Inference on Large Scale Graphon”

Machine Learning/Statistics Seminar Series Date/Time: Thursday Aug 31 2017, 11:00 pm – 12:00 pm Location: Advisory Board Room, #402 Groseclose Speaker: Junwei Lu Title: Topological Inference on Large Scale Graphon Abstract: We propose to test the topological structures of complex networks under the graphon model. Graphon is a nonparametric model for large scale stochastic graphs. […]

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ML@GT Faculty Receive Best Short Paper Award at EMNLP 2017

A recent work from School of Interactive Computing faculty Dhruv Batra and Stefan Lee and collaborators Satwik Kottur and José Moura at Carnegie Mellon University has been recognized as the Best Short Paper at the 2017 Empirical Methods in Natural Language Processing (EMNLP) conference. The work, titled “Natural Language Does Not Emerge ‘Naturally’ in Multi-Agent […]

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