Search for tag: "machine."

148 Media

Reuth Mirsky - The Seeing Eye Robot: Developing a… duration 50 minutes 52 seconds Reuth Mirsky - The Seeing Eye Robot: Developing a… Reuth Mirsky - The Seeing Eye Robot: Developing a Human-Aware Artificial Collaborator	Reuth Mirsky - The Seeing Eye Robot: Developing a Human-Aware Artificial Collaborator Automated care systems are becoming more tangible than ever: recent breakthroughs in robotics and machine learning can be used to address the need for automated care created by the increasing aging… ml@gt seminar series machine learning georgia tech recorded by gtlibrary fall 2021 From Katie Gentilello 6 plays 0 name Reuth Mirsky Date October 27th, 2021
Arthur Gretton – Generalized Energy-Based… duration 1 hour 3 minutes Arthur Gretton – Generalized Energy-Based… Arthur Gretton – Generalized Energy-Based Models	Arthur Gretton – Generalized Energy-Based Models Arthur Gretton will describe Generalized Energy Based Models (GEBM) for generative modeling. These models combine two trained components: a base distribution (generally an implicit model, as in a… ml@gt seminar series machine learning georgia tech recorded by gtlibrary fall 2021 From Katie Gentilello 32 plays 0 name Arthur Gretton Date October 13th, 2021
Francis Bach - Structured Prediction - Beyond… duration 59 minutes 43 seconds Francis Bach - Structured Prediction - Beyond… Francis Bach - Structured Prediction - Beyond Support Vector Machine and Cross Entropy	Francis Bach - Structured Prediction - Beyond Support Vector Machine and Cross Entropy Many classification tasks in machine learning lie beyond the classical binary and multi-class classification settings. In those tasks, the output elements are structured objects made of… ml@gt seminar series machine learning georgia tech recorded by gtlibrary fall 2021 From Katie Gentilello 10 plays 0 name Francis Bach Date September 29th, 2021
Alekh Agarwal - Towards a Theory of… duration 1 hour 1 minute Alekh Agarwal - Towards a Theory of… Alekh Agarwal - Towards a Theory of Representation Learning for Reinforcement Learning	Alekh Agarwal - Towards a Theory of Representation Learning for Reinforcement Learning Provably sample-efficient reinforcement learning from rich observational inputs remains a key open challenge in research. While impressive recent advances have allowed the use of linear modelling… ml@gt seminar series machine learning georgia tech recorded by gtlibrary fall 2021 From Katie Gentilello 25 plays 0 name Alekh Agarwal Date September 15th, 2021
Jie Tan - Learning Locomotion: From Simulation to… duration 51 minutes 55 seconds Jie Tan - Learning Locomotion: From Simulation to… Jie Tan - Learning Locomotion: From Simulation to Real World	Jie Tan - Learning Locomotion: From Simulation to Real World Deep Reinforcement Learning (DRL) holds the promise of designing complex robotic controllers automatically. In this talk, I will discuss two different approaches to apply deep reinforcement learning… ml@gt seminar series machine learning georgia tech recorded by gtlibrary fall 2021 From Katie Gentilello 6 plays 0 name Jie Tan Date September 1st, 2021
Qi Wei - Generative models based on point… duration 1 hour 1 minute Qi Wei - Generative models based on point… Qi Wei - Generative models based on point processes for financial time series simulation	Qi Wei - Generative models based on point processes for financial time series simulation In this seminar, I will talk about generative models based on point processes for financial time series simulation. Specifically, we focus on a recently developed state-dependent Hawkes (sdHawkes)… ml@gt seminar series machine learning georgia tech spring 2021 From Katie Gentilello 4 plays 0 name Qi Wei Date April 7th, 2021
Ellie Pavlick - You can lead a horse to water...:… duration 57 minutes 6 seconds Ellie Pavlick - You can lead a horse to water...:… Ellie Pavlick - You can lead a horse to water...: Representing vs. Using Features in Neural NLP	Ellie Pavlick - You can lead a horse to water...: Representing vs. Using Features in Neural NLP A wave of recent work has sought to understand how pretrained language models work. Such analyses have resulted in two seemingly contradictory sets of results. On one hand, work based on… ml@gt seminar series machine learning georgia tech spring 2021 From Katie Gentilello 13 plays 0 name Ellie Pavlick Date March 24th, 2021
Csaba Szepesvari - Compressed computation of good… duration 1 hour 7 minutes Csaba Szepesvari - Compressed computation of good… Csaba Szepesvari - Compressed computation of good policies in large MDPs	Csaba Szepesvari - Compressed computation of good policies in large MDPs Markov decision processes (MDPs) is a framework that captures keys aspect of many real-world decision making problems with the few assumptions. Unfortunately, as a result MDPs lack structure and as… ml@gt seminar series machine learning georgia tech spring 2021 From Katie Gentilello 22 plays 0 name Csaba Szepesvari Date March 10th, 2021
Vincent Tan - Learning Tree Models in Noise:… duration 54 minutes 23 seconds Vincent Tan - Learning Tree Models in Noise:… Vincent Tan - Learning Tree Models in Noise: Exact Asymptotics and Robust Algorithms	Vincent Tan - Learning Tree Models in Noise: Exact Asymptotics and Robust Algorithms We consider the classical problem of learning tree-structured graphical models but with the twist that the observations are corrupted in independent noise. For the case in which the noise is… georgia tech spring 2021 machine leaarning ml@gt seminar series From Katie Gentilello 22 plays 0 name Vincent Tan Date February 10th, 2021
Bolei Zhou - Interpretable latent space and… duration 52 minutes 11 seconds Bolei Zhou - Interpretable latent space and… Bolei Zhou - Interpretable latent space and inverse problem in deep generative models	Bolei Zhou - Interpretable latent space and inverse problem in deep generative models Recent progress in deep generative models such as Generative Adversarial Networks (GANs) has enabled synthesizing photo-realistic images, such as faces and scenes. However, it remains much less… ml@gt seminar series machine learning georgia tech spring 2021 From Katie Gentilello 37 plays 0 name Bolei Zhou Date January 27th, 2021
Jia-Bin Huang - Bringing Visual Memories to Life duration 57 minutes 5 seconds Jia-Bin Huang - Bringing Visual Memories to Life Jia-Bin Huang - Bringing Visual Memories to Life	Jia-Bin Huang - Bringing Visual Memories to Life Photography allows us to capture and share memorable moments of our lives. However, 2D images appear flat due to the lack of depth perception and may suffer from poor imaging conditions such as… ml@gt seminar series machine learning georgia tech fall 2020 From Katie Gentilello 24 plays 0 name Jia-Bin Huang Date December 2nd, 2020
ML@GT Lab presents LAB LIGHTNING TALKS 2020 duration 1 hour 14 minutes ML@GT Lab presents LAB LIGHTNING TALKS 2020 ML@GT Lab presents LAB LIGHTNING TALKS 2020	ML@GT Lab presents LAB LIGHTNING TALKS 2020 Labs affiliated with the Machine Learning Center at Georgia Tech (ML@GT) will have the opportunity to share their research interests, work, and unique aspects of their lab in three minutes or less to… ml@gt seminar series machine learning georgia tech fall 2020 From Katie Gentilello 26 plays 0 Date December 4th, 2020
Let's Talk About Bias and Diversity in Data,… duration 54 minutes 0 seconds Let's Talk About Bias and Diversity in Data,… Let's Talk About Bias and Diversity in Data, Software, and Institutions	Let's Talk About Bias and Diversity in Data, Software, and Institutions Bias and lack of diversity have long been deep-rooted problems across industries. We discuss how these issues impact data, software, and institutions, and how we can improve moving forward.The panel… ml@gt seminar series georgia tech fall 2020 machine learning From Katie Gentilello 18 plays 0 name Tiffany Deng, Deven Desai, Charles Isbell, Rapha Gontijo Lopes Date November 20th, 2020
Ankur Parikh - Towards High Precision Text… duration 53 minutes 26 seconds Ankur Parikh - Towards High Precision Text… Ankur Parikh - Towards High Precision Text Generation	Ankur Parikh - Towards High Precision Text Generation Despite large advances in neural text generation in terms of fluency, existing generation techniques are prone to hallucination and often produce output that is unfaithful or irrelevant to the source… ml@gt seminar series machine learning georgia tech fall 2020 From Katie Gentilello 16 plays 0 name Ankur Parikh Date November 11th, 2020
Applying Emerging Technologies In Service of… duration 1 hour 22 minutes Applying Emerging Technologies In Service of… Applying Emerging Technologies In Service of Journalism at The New York Times	Applying Emerging Technologies In Service of Journalism at The New York Times Emerging technologies, particularly within computer vision, photogrammetry, and spatial computing, are unlocking new forms of storytelling for journalists to help people understand the world around… ml@gt seminar series machine learning georgia tech fall 2020 From Katie Gentilello 15 plays 0 name Marc Lavallee, Or Fleisher, Mint Boonyapanachoti, Lana Porter, Mark McKeague Date October 30th, 2020
Adriana Kovashka - Reasoning about Complex Media… duration 1 hour 0 minutes Adriana Kovashka - Reasoning about Complex Media… Adriana Kovashka - Reasoning about Complex Media from Weak Multi-modal Supervision	Adriana Kovashka - Reasoning about Complex Media from Weak Multi-modal Supervision In a world of abundant information targeting multiple senses, and increasingly powerful media, we need new mechanisms to model content. Techniques for representing individual channels, such as visual… ml@gt seminar series machine learning georgia tech fall 2020 From Katie Gentilello 8 plays 0 name Adriana Kovashka Date October 28th, 2020