Search for tag: "ml@gt seminar series"

Daniel Russo - Global Optimality Guarantees for Policy Gradient Methods

Policy gradients methods are perhaps the most widely used class of reinforcement learning algorithms. These methods apply to complex, poorly understood, control problems by performing stochastic…

From  Kathryn Gentilello on March 13th, 2020 3 plays 0  

Ganesh Sundaramoorthi - Solving the Flickering Problem in Modern Convolutional Neural Networks

Deep Learning has revolutionized the AI field. Despite this, there is much progress needed to deploy deep learning in safety critical applications (such as autonomous aircraft). This is because…

From  Kathryn Gentilello on February 18th, 2020 9 plays 0  

Niranjan Balasubramanian - Question Answering, Event Knowledge, and other NLP Stuff: Forays into Reuse, Decomposition, and Control in Neural NLP Models

In this three-part talk, I will present some of our recent efforts that aim to control and adapt neural models to work more effectively in target applications. The first part will focus on how to…

From  Kathryn Gentilello on January 21st, 2020 6 plays 0  

Zhangyang Wang - Learning Augmented Optimization: Faster, Better and Guaranteed

Learning and optimization are closely related: state-of-the-art learning problems hinge on the sophisticated design of optimizers. On the other hand, the optimization cannot be considered as…

From  Kathryn Gentilello on December 4th, 2019 10 plays 0  

David Bamman - The Data-Driven Analysis of Literature

Literary novels push the limits of natural language processing. While much work in NLP has been heavily optimized toward the narrow domains of news and Wikipedia, literary novels are an entirely…

From  Kathryn Gentilello on November 22nd, 2019 8 plays 0  

Rachel Cummings, Swati Gupta, Judy Hoffman, Devan Desai - A Discussion on Fairness in Machine Learning with Georgia Tech Faculty

Fairness in machine learning and artificial intelligence is a hot, and important topic in tech today. Join Georgia Tech faculty members Judy Hoffman, Rachel Cummings, Deven Desai, and Swati Gupta for…

From  Kathryn Gentilello on November 14th, 2019 41 plays 0  

Muhammed Ahmed - NLP Approaches to Campaign Classification

Mailchimp is the world's largest marketing automation platform. Over a billion emails are sent by it every day, which raises the question: what exactly are users sending? We'll do a deep…

From  Kathryn Gentilello on October 30th, 2019 8 plays 0  

Ashwin Swaminathan - Perception at Magic Leap

This talk presents the importance of Computer Vision and Deep learning techniques in making Magic Leap an effective spatial computing platform. The four fundamental modalities are introduced: head…

From  Kathryn Gentilello on May 1st, 2019 42 plays 0  

Sanjeev Srivastava - AI Driven Design Approach

Design Space Exploration (DSE) is an activity that is performed to systematically analyze several design points and then select the design(s) based on parameters of interest and design requirements.…

From  Kathryn Gentilello on April 15th, 2019 6 plays 0  

Dipendra Misra - Situated Natural Language Understanding

From  Kathryn Gentilello on March 18th, 2019 30 plays 0  

Oliver Brdicka - Contextual AI - The Next Frontier Towards Human-Centric Artificial Intelligence

This talk motivates a more human-centric wave of AI, dubbed Contextual AI. Contextual AI does not refer to a specific algorithm or machine learning method - instead, it takes a human-centric view…

From  Kathryn Gentilello on March 7th, 2019 18 plays 0  

Jan Ernst - Automated Perception in the Real World: The Problem of Scarce Data

Machine perception is a key step toward artificial intelligence in domains such as self-driving cars, industrial automation, and robotics. Much progress has been made in the past decade, driven by…

From  Kathryn Gentilello on December 5th, 2018 6 plays 0  

Mohit Bansal - Multimodal, Personable, and Knowledgeable Language Generation

In this talk, I will discuss my group's recent work on state-of-the-art natural language generation (NLG) and dialogue models that are multimodal, personality-based, and knowledge-rich. First,…

From  Kathryn Gentilello on November 26th, 2018 13 plays 0  

Benjamin Recht - The Statistical Foundations of Learning to Control

Given the dramatic successes in machine learning and reinforcement learning over the past half decade, there has been a surge of interest in applying these techniques to continuous control problems…

From  Kathryn Gentilello on November 26th, 2018 51 plays 0  

Ella Atkins - Data-to-Decisions for Safe Autonomous Flight

Traditional sensor data can be augmented with new data sources such as roadmaps and geographical information system (GIS) Lidar/video to offer emerging unmanned aircraft systems (UAS) and urban air…

From  Kathryn Gentilello on November 15th, 2018 25 plays 0  

Hugo Larochelle - Few-shot Learning with Meta-Learning: Progress Made and Challenges Ahead

A lot of the recent progress on many AI tasks enabled in part by the availability of large quantities of labeled data. Yet, humans are able to learn concepts from as little as a handful of examples.…

From  Kathryn Gentilello on October 26th, 2018 1,018 plays 0