Search for tag: "machine learning"

65 Media

01:00:14 Byron Wallace - Using rationales and influential… Byron Wallace - Using rationales and influential training examples to (attempt to) explain neural predictions in NLP	Byron Wallace - Using rationales and influential training examples to (attempt to) explain neural predictions in NLP Modern deep learning models for natural language processing (NLP) achieve state-of-the-art predictive performance but are notoriously opaque. I will discuss recent work looking to address this… ml@gt seminar series machine learning georgia tech fall 2020 From Kathryn Gentilello on September 10th, 2020 0 plays 0 name Byron Wallace Date September 9th, 2020
59:17 Daniel Russo - Global Optimality Guarantees for… Daniel Russo - Global Optimality Guarantees for Policy Gradient Methods	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… machine learning ml@gt seminar series georgia tech recorded by gtlibrary spring 2020 From Kathryn Gentilello on March 13th, 2020 16 plays 0 name Daniel Russo Date March 11th, 2020
49:16 Ganesh Sundaramoorthi - Solving the Flickering… Ganesh Sundaramoorthi - Solving the Flickering Problem in Modern Convolutional Neural Networks	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… machine learning ml@gt seminar series georgia tech recorded by gtlibrary spring 2020 From Kathryn Gentilello on February 18th, 2020 23 plays 0 name Ganesh Sundaramoorthi Date February 12th, 2020
57:29 Niranjan Balasubramanian - Question Answering,… Niranjan Balasubramanian - Question Answering, Event Knowledge, and other NLP Stuff: Forays into Reuse, Decomposition, and Control in Neural NLP Models	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… ml@gt seminar series machine learning georgia tech recorded by gtlibrary spring 2020 From Kathryn Gentilello on January 21st, 2020 0 plays 0 name Niranjan Balasubramanian Date January 15th, 2020
01:07:36 Zhangyang Wang - Learning Augmented Optimization:… Zhangyang Wang - Learning Augmented Optimization: Faster, Better and Guaranteed	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… ml@gt seminar series machine learning georgia tech recorded by gtlibrary fall 2019 From Kathryn Gentilello on December 4th, 2019 12 plays 0 name Zhangyang Wang Date November 20th, 2019
01:01:10 David Bamman - The Data-Driven Analysis of… David Bamman - The Data-Driven Analysis of Literature	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… ml@gt seminar series machine learning georgia tech recorded by gtlibrary fall 2019 From Kathryn Gentilello on November 22nd, 2019 0 plays 0 name David Bamman Date November 15th, 2019
57:00 Rachel Cummings, Swati Gupta, Judy Hoffman, Devan… Rachel Cummings, Swati Gupta, Judy Hoffman, Devan Desai - A Discussion on Fairness in Machine Learning with Georgia Tech Faculty	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… ml@gt seminar series machine learning georgia tech recorded by gtlibrary fall 2019 From Kathryn Gentilello on November 14th, 2019 45 plays 0 name Rachel Cummings, Swati Gupta, Judy Hoffman, Devan Desai Date November 6th, 2019
42:39 Muhammed Ahmed - NLP Approaches to Campaign… Muhammed Ahmed - NLP Approaches to Campaign Classification	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… machine learning ml@gt seminar series georgia tech recorded by gtlibrary fall 2019 From Kathryn Gentilello on October 30th, 2019 10 plays 0 name Muhammed Ahmed Date October 17th, 2019
01:06:02 Jennifer Neville - Towards Relational AI: The… Jennifer Neville - Towards Relational AI: The Good, the Bad, and the Ugly of Learning over Networks	Jennifer Neville - Towards Relational AI: The Good, the Bad, and the Ugly of Learning over Networks machine learning in science and engineering conference georgia tech institute for data engineering and science recorded by gtlibrary spring 2019 From Kathryn Gentilello on June 19th, 2019 36 plays 0 name Jennifer Neville Date June 10th, 2019
43:48 Eliu Antonio Huerta Escudero - Convergence of… Eliu Antonio Huerta Escudero - Convergence of Deep Learning and High Performance Computing: A Paradigm Shift for Multi-Messenger Astrophysics	Eliu Antonio Huerta Escudero - Convergence of Deep Learning and High Performance Computing: A Paradigm Shift for Multi-Messenger Astrophysics machine learning in science and engineering conference institute for data engineering and science georgia tech recorded by gtlibrary spring 2019 From Kathryn Gentilello on June 19th, 2019 14 plays 0 name Eliu Antonio Huerta Escudero Date June 11th, 2019
55:50 Daniel Neill - Machine Learning and Event… Daniel Neill - Machine Learning and Event Detection for Population Health	Daniel Neill - Machine Learning and Event Detection for Population Health machine learning in science and engineering conference institute for data engineering and science georgia tech recorded by gtlibrary spring 2019 From Kathryn Gentilello on June 19th, 2019 0 plays 0 name Daniel Neill Date June 12th, 2019
01:01:49 John McDonald - The Potential of Machine Learning… John McDonald - The Potential of Machine Learning for Improved Diagnostics and Treatment	John McDonald - The Potential of Machine Learning for Improved Diagnostics and Treatment machine learning in science and engineering conference institute for data engineering and science georgia tech recorded by gtlibrary spring 2019 From Kathryn Gentilello on June 19th, 2019 6 plays 0 name John McDonald Date June 12th, 2019
45:22 Ross Thomson - Tools and Methods for Machine… Ross Thomson - Tools and Methods for Machine Learning	Ross Thomson - Tools and Methods for Machine Learning machine learning in science and engineering conference institute for data engineering and science georgia tech recorded by gtlibrary spring 2019 From Kathryn Gentilello on June 19th, 2019 0 plays 0 name Ross Thomson Date June 12th, 2019
51:53 Ashwin Swaminathan - Perception at Magic Leap Ashwin Swaminathan - Perception at Magic Leap	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… machine learning ml@gt seminar series georgia tech recorded by gtlibrary spring 2019 From Kathryn Gentilello on May 1st, 2019 53 plays 0 name Ashwin Swaminathan Date April 19th, 2019
57:51 Sanjeev Srivastava - AI Driven Design Approach Sanjeev Srivastava - AI Driven Design Approach	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.… ml@gt seminar series machine learning georgia tech recorded by gtlibrary spring 2019 From Kathryn Gentilello on April 15th, 2019 0 plays 0 name Sanjeev Srivastava Date April 3rd, 2019
54:04 Oliver Brdicka - Contextual AI - The Next… Oliver Brdicka - Contextual AI - The Next Frontier Towards Human-Centric Artificial Intelligence	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… ml@gt seminar series machine learning georgia tech recorded by gtlibrary spring 2019 From Kathryn Gentilello on March 7th, 2019 18 plays 0 name Oliver Brdicka Date February 28th, 2019