Media Summary: Presentation for the Conference on Responsible Machine Learning 2021. In this video, we will present our paper -- This Looks Like That: Deep Learning for nPlan's Machine Learning Paper Club (Mar 4, 2021)

Alina Barnett Interpretable Image Recognition - Detailed Analysis & Overview

Presentation for the Conference on Responsible Machine Learning 2021. In this video, we will present our paper -- This Looks Like That: Deep Learning for nPlan's Machine Learning Paper Club (Mar 4, 2021) This video presents the paper "Deformable ProtoPNet: An This presentation, “Estimating Insulation Efficiency from Satellite Imagery using Super-Resolution,” was created by A presentation about using neural networks for

Authors: Zachariah Carmichael; Suhas Lohit; Anoop Cherian; Michael J. Jones; Walter J. Scheirer Description: Prototypical part ... Verifacta is a conversational, cryptographically-verifiable interface to World Bank data — built so journalists can use AI for data ... The new wave of cameras is changing how you use your phone and tablet; why are batteries so far behind ... ISMRM 2021 presentation - May 2021 Full abstract is available here: ... Dive into the world of Deep Learning and master Let us consider a difficult computer vision challenge. Would you want an algorithm to determine whether you should get a biopsy, ...

Matt Mills and Tamara Roukaerts demonstrate Aurasma, a new augmented reality tool that can seamlessly ...

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Alina Barnett - Interpretable Image Recognition
This Looks Like That: Deep Learning for Interpretable Image Recognition (NeurIPS 2019)
This Looks Like That: Deep Learning for Interpretable Image Recognition (AI Paper Summary)
Concept Whitening for Interpretable Image Recognition
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
FG 2026 (Oral) | TransFIRA: Transfer Learning for Face Image Recognizability Assessment
This Looks Like That ... Does it?
Estimating Insulation Efficiency via Satellite Imagery using Super-Resolution | Alina Barnett (Duke)
This Looks Like That: Interpretable Neural Networks
Pixel-Grounded Prototypical Part Networks
Alina Barnett ECE Spotlight
Verifacta — Cryptographically-verifiable AI for journalists | World Bank DATA 360 Challenge 2026
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Alina Barnett - Interpretable Image Recognition

Alina Barnett - Interpretable Image Recognition

Presentation for the Conference on Responsible Machine Learning 2021.

This Looks Like That: Deep Learning for Interpretable Image Recognition (NeurIPS 2019)

This Looks Like That: Deep Learning for Interpretable Image Recognition (NeurIPS 2019)

In this video, we will present our paper -- This Looks Like That: Deep Learning for

This Looks Like That: Deep Learning for Interpretable Image Recognition (AI Paper Summary)

This Looks Like That: Deep Learning for Interpretable Image Recognition (AI Paper Summary)

This Looks Like That: Deep Learning for

Concept Whitening for Interpretable Image Recognition

Concept Whitening for Interpretable Image Recognition

nPlan's Machine Learning Paper Club (Mar 4, 2021)

Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes

Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes

This video presents the paper "Deformable ProtoPNet: An

FG 2026 (Oral) | TransFIRA: Transfer Learning for Face Image Recognizability Assessment

FG 2026 (Oral) | TransFIRA: Transfer Learning for Face Image Recognizability Assessment

Project Page: https://transfira.github.io/ Face

This Looks Like That ... Does it?

This Looks Like That ... Does it?

This Looks Like That ... Does it?

Estimating Insulation Efficiency via Satellite Imagery using Super-Resolution | Alina Barnett (Duke)

Estimating Insulation Efficiency via Satellite Imagery using Super-Resolution | Alina Barnett (Duke)

This presentation, “Estimating Insulation Efficiency from Satellite Imagery using Super-Resolution,” was created by

This Looks Like That: Interpretable Neural Networks

This Looks Like That: Interpretable Neural Networks

A presentation about using neural networks for

Pixel-Grounded Prototypical Part Networks

Pixel-Grounded Prototypical Part Networks

Authors: Zachariah Carmichael; Suhas Lohit; Anoop Cherian; Michael J. Jones; Walter J. Scheirer Description: Prototypical part ...

Alina Barnett ECE Spotlight

Alina Barnett ECE Spotlight

Alina Barnett

Verifacta — Cryptographically-verifiable AI for journalists | World Bank DATA 360 Challenge 2026

Verifacta — Cryptographically-verifiable AI for journalists | World Bank DATA 360 Challenge 2026

Verifacta is a conversational, cryptographically-verifiable interface to World Bank data — built so journalists can use AI for data ...

JSM Tutorial 2020 - Interpretable Neural Networks

JSM Tutorial 2020 - Interpretable Neural Networks

Neural networks section of 2020

Next Big Thing - Image recognition: Making your gear see the way you do - Episode 9

Next Big Thing - Image recognition: Making your gear see the way you do - Episode 9

http://cnet.co/1ngoPB0 The new wave of cameras is changing how you use your phone and tablet; why are batteries so far behind ...

Interpretability Techniques for Deep Learning based Segmentation Models

Interpretability Techniques for Deep Learning based Segmentation Models

ISMRM 2021 presentation - May 2021 Full abstract is available here: ...

Build Image Recognition Model In Python in 20 min

Build Image Recognition Model In Python in 20 min

Dive into the world of Deep Learning and master

Interpretable Neural Networks for Computer Vision: Clinical Decisions | AI FOR GOOD DISCOVERY

Interpretable Neural Networks for Computer Vision: Clinical Decisions | AI FOR GOOD DISCOVERY

Let us consider a difficult computer vision challenge. Would you want an algorithm to determine whether you should get a biopsy, ...

Matt Mills: Image recognition that triggers augmented reality

Matt Mills: Image recognition that triggers augmented reality

http://www.ted.com Matt Mills and Tamara Roukaerts demonstrate Aurasma, a new augmented reality tool that can seamlessly ...