Search for tag: "mining"

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 5 Days ago 3 views 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 A month ago 5 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 4 Months ago 3 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 4 Months ago 6 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 4 Months ago 39 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 5 Months ago 18 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 5 Months ago 671 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 6 Months ago 19 views 0  

Timnit Gebru - Understanding the limitations of AI: When Algorithms Fail

Automated decision-making tools are currently used in high stakes scenarios. From natural language processing tools used to automatically determine one’s suitability for a job, to health…

From  Kathryn Gentilello 7 Months ago 40 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 7 Months ago 91 views 0  

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 11 Months ago 26 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 11 Months ago 17 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 A year ago 11 views 0  

The Science of Autonomy: A "Happy" Symbiosis Among Control, Learning and Physics - Evangelos Theodorou

In this talk I will present an information theoretic approach to stochastic optimal control and inference that has advantages over classical methodologies and theories for decision making under…

From  Kathryn Gentilello A year ago 146 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 A year ago 371 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 A year ago 58 views 0