Right now, we pay attention to only 2 things 1) Scary and - PowerPoint PPT Presentation

Jun 17, 2023 •49 likes •279 views

Right now, we pay attention to only 2 things 1) Scary and uncertain news And anything that uplifts, inspires or gives us hope In search of good news And finding it in Marquette community In search of community In search of faith In

Right now, we pay attention to only 2 things
1) Scary and uncertain news…
… And anything that uplifts, inspires or gives us hope
In search of good news And finding it in Marquette community
In search of community
In search of faith
In search of poetry
In search of celebration
In search of celebration
In search of memories
In search of good memories
In search of understanding
In search of excellence
In search of friendship Tag someone you’re missing right now. Show them you’re thinking of them. 768 comments!
In search of harmony
In search of recognition
In search of a stage
In search of quiet
In search of a Bridge…
To the Future
In search of a brighter future

Download Presentation

Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

A Convolutional Attention Network for Extreme Summarization of Source Code ATTENTION

A Convolutional Attention Network for Extreme Summarization of Source Code ATTENTION MECHANISM Attention: Withdrawal from some things in order to deal e ff ectively with others ~William James LIBGDX Cross-platform game and

913 views • 34 slides

Attention, Transformer and BERT Prof. Kuan-Ting Lai 2020/6/16 Attention is All You Need! A.

Attention, Transformer and BERT Prof. Kuan-Ting Lai 2020/6/16 Attention is All You Need! A. Waswani et al., NIPS , 2017 Google Brain & University of Toronto 2 Attention Visual attention and textual attention

628 views • 21 slides

The Attention Economy What is the attention economy? A business model where you (as the

The Attention Economy What is the attention economy? A business model where you (as the company) want to hold the users attention as much as possible. Attention is treat like a scarce resource What are ethical issues that have emerged

170 views • 3 slides

As always, here are the four charts that will help you in the event of the next scary market.

As always, here are the four charts that will help you in the event of the next scary market. Past is not Prologue Based on research from Mark Hulbert Here are the odds that U.S. stocks will rise this year. There is a two-out-of-three chance

183 views • 3 slides

Attention Eye tracking seminar 2/19/15 Presented by Tatiana Emmanouil Outline What is

Attention Eye tracking seminar 2/19/15 Presented by Tatiana Emmanouil Outline What is attention? How is attention allocated? How are eye movements related to attention? Further questions Attention Attention

331 views • 18 slides

Visual Attention FEF V4 spatial attention: simultaneous neural recordings in V4

10/29/14 Visual Attention FEF V4 spatial attention: simultaneous neural recordings in V4 & Frontal Eye Fields (monkeys) Gregoriou, Gotts, Zhou, Desimone (2010) object attention: MEG & fMRI in FFA (faces),

238 views • 4 slides

What Risks Lurk In The Cloud? Ways Things Can Go Badly And How You Can Prepare Mitchel Forney |

What Risks Lurk In The Cloud? Ways Things Can Go Badly And How You Can Prepare Mitchel Forney | mitchel.forney@alpin.io | 520-477-6952 | Agenda Our theme today: SaaS can be scary and few people know the extent of the problem. So what can you do

305 views • 26 slides

Attention in NLP CS 6956: Deep Learning for NLP Overview What is attention Attention in

Attention in NLP CS 6956: Deep Learning for NLP Overview What is attention Attention in encoder-decoder networks Various kinds of attention 2 Overview What is attention? Attention in encoder-decoder networks 3 Visual

971 views • 73 slides

JUNIOR NAVIANCE PRESENTATION Please Pay Attention! You will be expected to know this

JUNIOR NAVIANCE PRESENTATION Please Pay Attention! You will be expected to know this information. Please try to commit some of this information to memory so that you are not starting at square one. Important Things YOU should know:

409 views • 21 slides

Attention is All You Need (Vaswani et. al. 2017) Slides and figures when not cited are from:

Attention is All You Need (Vaswani et. al. 2017) Slides and figures when not cited are from: Mausam, Jay Alammar The Illustrated Transformer Attention in seq2seq models (Bahdanau 2014) Multi-head attention Self-attention (single-head,

718 views • 48 slides

Attention! 1. Definitions and behavioral effects 2. Effects on neural firing rates: Spatial

4/14/17 Attention! 1. Definitions and behavioral effects 2. Effects on neural firing rates: Spatial attention Attention to features 3. Directing attention: Posterior parietal cortex Frontal eye fields Top-down and bottom-up attention 1

336 views • 17 slides

Fundraising Isnt So Scary After All @fundraiserchad AGENDA: 1. Brief Introductions 2. A

Fundraising Isnt So Scary After All @fundraiserchad AGENDA: 1. Brief Introductions 2. A Board Members Role in Fundraising 3. Telling Our Story: How to Talk About JL 4. Identifying New Prospects 5. What Sponsors Want in 2019 6. How to

1.02k views • 65 slides

Attention and its (mis)interpretation Danish Pruthi 1 Acknowledgements Mansi Gupta Bhuwan

Attention and its (mis)interpretation Danish Pruthi 1 Acknowledgements Mansi Gupta Bhuwan Dhingra Graham Neubig Zachary C. Lipton 2 Outline 1. What is attention mechanism? 2. Attention-as-explanations 3. Manipulating attention weights 4.

1.72k views • 136 slides

JUNIOR NAVIANCE PRESENTATION 2017 Please Pay Attention! You will be expected to know this

JUNIOR NAVIANCE PRESENTATION 2017 Please Pay Attention! You will be expected to know this information. Please try to commit some of this information to memory so that you are not starting at square one. Important Things YOU should know:

402 views • 21 slides

The scary carrot, a short success story! In advertisement from the mid 1950s we could

The scary carrot, a short success story! In advertisement from the mid 1950s we could read for the first time about the new concept Kri lium. The se water soluble polymer proved actually to be able to answer up to its claim of

338 views • 6 slides

Marketing Fundamentals Why marketing doesnt have to be scary Delivered on behalf of:

BUSINESS FUTURE PROOF SERIES Marketing Fundamentals Why marketing doesnt have to be scary Delivered on behalf of: Presented by GIOVANNA LEVER LETS BREAK IT DOWN Today we will discuss: 1. Why marketing matters 2. Getting clear on

423 views • 20 slides

Conditional Neural Language Models Karl Stratos Rutgers University Karl Stratos CS 533:

CS 533: Natural Language Processing Conditional Neural Language Models Karl Stratos Rutgers University Karl Stratos CS 533: Natural Language Processing 1/53 Language Models Considered So Far p Y | X ( y | x 1:100 ) Classical trigram

646 views • 53 slides

minimize use of terminology Structuring Your Talk A concept is set of all configs. from X

Goals of a Talk Goals: Why Are We Here? keep audiences interest (and attention) convey technical material For your work to have significant impact, it is essential that you can convey results to your community communicate a

357 views • 4 slides

A Simple VQA Model with a Few Tricks and Image Features from Bottom-up Attention Damien Teney 1 ,

A Simple VQA Model with a Few Tricks and Image Features from Bottom-up Attention Damien Teney 1 , Peter Anderson 2* , David Golub 4* , Po-Sen Huang 3 , Lei Zhang 3 , Xiaodong He 3 , Anton van den Hengel 1 2 Australian National University 1

232 views • 19 slides

Attention, Coordination, and Bounded Recall Alessandro Pavan Northwestern University Chicago

Motivation Model Equilibrium Efficiency Bounded Recall Conclusions Attention, Coordination, and Bounded Recall Alessandro Pavan Northwestern University Chicago FED, February 2016 Motivation Model Equilibrium Efficiency Bounded Recall

566 views • 53 slides

Differential Attention to Attributes in Utility-Theoretic Choice Models Trudy Ann Cameron J.R.

Seminar Outline Motivation Model Data Estimation Results Implications Conclusions Differential Attention to Attributes in Utility-Theoretic Choice Models Trudy Ann Cameron J.R. DeShazo University of Oregon School of Public Affairs,

1.82k views • 139 slides

Introducing Precautionary Behavior by Temporal Diversion of Voter Attention from Casting to

Introducing Precautionary Behavior by Temporal Diversion of Voter Attention from Casting to Verifying their Vote Workshop on Usable Security 2/23/2014 Usable Security Lab Jurlind Budurushi, Marcel Woide and Melanie Volkamer Crypto Lab Current

217 views • 19 slides

Tacotron: End-to-End TTS Tacotron [Wang 2017]: Neural Vocoder Convert spectrogram to

! " Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron RJ Skerry-Ryan, Eric Battenberg , Ying Xiao, Yuxuan Wang, Daisy Stanton, Joel Shor, Ron J. Weiss, Rob Clark, Rif A. Saurous Google AI Audio Test

562 views • 18 slides

CS480/680 Lecture 18: July 8, 2019 Recurrent and Recursive Neural Networks [GBC] Chap. 10

CS480/680 Lecture 18: July 8, 2019 Recurrent and Recursive Neural Networks [GBC] Chap. 10 University of Waterloo CS480/680 Spring 2019 Pascal Poupart 1 Variable length data Traditional feed forward neural networks can only handle fixed

609 views • 18 slides