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

ICLR 2018 accepted papers and ML@GT

The list of accepted papers at ICLR 2018 was released last week and Machine Learning at Georgia Tech (ML@GT) had a strong presence. Out of 935 submissions, 23 oral and 314 conference papers were accepted (roughly 36%). We are pleased to announce that Georgia Tech had 10 conference papers this year, with 1 of them … Continue reading ICLR 2018 accepted papers and ML@GT

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

ICML 2017 accepted papers and ML@GT

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

ML@GT Launch Event + Celebration, April 17, 2017 11am – 7 pm, TSRB 132/134

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