Search for tag: "ml@gt seminar series"

AI Information Session - Anna Almejo, Mason Bretan

In this talk, we will cover general info about Samsung Research America and more specifically the research and projects happening within the Artificial Intelligence team including personal…

From  Kathryn Gentilello 8 Months ago 22 views 0  

An overview of deep learning frameworks and an introduction to PyTorch - Soumith Chintala

In this talk, you will get an exposure to the various types of deep learning frameworks – declarative and imperative frameworks such as TensorFlow and PyTorch. After a broad overview of…

From  Kathryn Gentilello A year ago 297 views 0  

Asynchronous (Sub)gradient-Push - Mike Rabbat

We consider a multi-agent framework for distributed optimization where each agent in the network has access to a local convex function and the collective goal is to achieve consensus on…

From  Kathryn Gentilello 9 Months ago 10 views 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 A month ago 14 views 0  

Bryan McCann - The Natural Language Decathlon: Multitask Learning as Question Answering

Deep learning has improved performance on many natural language processing (NLP) tasks individually. However, general NLP models cannot emerge within a paradigm that focuses on the particularities of…

From  Kathryn Gentilello 4 Months ago 74 views 0  

Data-Driven Dialogue Systems: Models, Algorithms, Evaluation, and Ethical Challenges - Joelle Pineau

The use of dialogue systems as a medium for human-machine interaction is an increasingly prevalent paradigm. A growing number of dialogue systems use conversation strategies that are learned from…

From  Kathryn Gentilello 10 Months ago 51 views 0  

Deep Learning to Learn - Pieter Abbeel

Reinforcement learning and imitation learning have seen success in many domains, including autonomous helicopter flight, Atari, simulated locomotion, Go, robotic manipulation. However, sample…

From  Kathryn Gentilello 4 Months ago 175 views 0  

Deep Networks for Pixel Level Inference with Applications to Medical Imaging - Sumit Chopra

https://mediaspace.gatech.edu/media/chopra/1_73x1u7b4

From  Kathryn Gentilello A year ago 45 views 0  

Do GANs actually learn the distribution? - Sanjeev Arora

Generative Adversarial Nets (GANs) is a framework for training deep generative models, due to Goodfellow et al'13. It involves a competition between a generator net that tries to produce…

From  Kathryn Gentilello 10 Months ago 120 views 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 2 Months ago 12 views 0  

Extreme scale matrix factorizations in Exploration Seismology - Felix Herrmann

We will present some recent work on matrix factorizations with applications that range from full-azimuth seismic data processing w/ coil acquisition to seismic data compression & recovery w/…

From  Kathryn Gentilello 8 Months ago 17 views 0  

Gregory Diamos - Reaching Beyond Human Accuracy With AI Datacenters

Deep learning has enabled rapid progress in diverse problems in vision, speech, healthcare, and beyond. This progress has been driven by breakthroughs in algorithms that can harness massive datasets…

From  Kathryn Gentilello 3 Months ago 7 views 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 2 Months ago 311 views 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 A month ago 2 views 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 A month ago 1 views 0  

Pruning Deep Neural Networks with Net-Trim: Deep Learning and Compressed Sensing Meet - Alireza Aghasi

We introduce and analyze a new technique for model reduction in deep neural networks. Our algorithm prunes (sparsifies) a trained network layer-wise, removing connections at each layer by addressing…

From  Kathryn Gentilello 10 Months ago 336 views 0