Hackernoon

A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Conclusion and Limitation

by

:::info Authors: (1) Athanasios Angelakis, Amsterdam University Medical Center, University of Amsterdam – Data Science Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands (2) Andrey Rass, Den Haag, Netherlands. ::: Table of Links Abstract and 1 Introduction 2 The Effect Of Data Augmentation-Induced Class-Specific Bias Is Influenced By Data, Regularization and Architecture 2.1 Data Augmentation … Read more

A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Appendices A-L

by

:::info Authors: (1) Athanasios Angelakis, Amsterdam University Medical Center, University of Amsterdam – Data Science Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands (2) Andrey Rass, Den Haag, Netherlands. ::: Table of Links Abstract and 1 Introduction 2 The Effect Of Data Augmentation-Induced Class-Specific Bias Is Influenced By Data, Regularization and Architecture 2.1 Data Augmentation … Read more

Alternative Architectures Have Variable Effect On Augmentation-Induced Bias

by

:::info Authors: (1) Athanasios Angelakis, Amsterdam University Medical Center, University of Amsterdam – Data Science Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands (2) Andrey Rass, Den Haag, Netherlands. ::: Table of Links Abstract and 1 Introduction 2 The Effect Of Data Augmentation-Induced Class-Specific Bias Is Influenced By Data, Regularization and Architecture 2.1 Data Augmentation … Read more

The Effect Of Data Augmentation-Induced Class-Specific Bias Is Influenced By Data, Regularization

by

:::info Authors: (1) Athanasios Angelakis, Amsterdam University Medical Center, University of Amsterdam – Data Science Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands (2) Andrey Rass, Den Haag, Netherlands. ::: Table of Links Abstract and 1 Introduction 2 The Effect Of Data Augmentation-Induced Class-Specific Bias Is Influenced By Data, Regularization and Architecture 2.1 Data Augmentation … Read more

A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Abstract and Intro

by

:::info Authors: (1) Athanasios Angelakis, Amsterdam University Medical Center, University of Amsterdam – Data Science Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands (2) Andrey Rass, Den Haag, Netherlands. ::: Table of Links Abstract and 1 Introduction 2 The Effect Of Data Augmentation-Induced Class-Specific Bias Is Influenced By Data, Regularization and Architecture 2.1 Data Augmentation … Read more

Adding Random Horizontal Flipping Contributes To Augmentation-Induced Bias

by

:::info Authors: (1) Athanasios Angelakis, Amsterdam University Medical Center, University of Amsterdam – Data Science Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands (2) Andrey Rass, Den Haag, Netherlands. ::: Table of Links Abstract and 1 Introduction 2 The Effect Of Data Augmentation-Induced Class-Specific Bias Is Influenced By Data, Regularization and Architecture 2.1 Data Augmentation … Read more

Good Managers Know to Not Make These Mistakes

by

All managers make mistakes. However, some mistakes are not only avoidable, they’re costly to business and hinder the team’s development and growth. Most managers are too busy playing a catch-up game—handling unexpected issues, calendars filled with meetings, and pacifying unhappy stakeholders—that they fail to pay attention to harmful practices that hurt their team’s productivity and … Read more

How to Build an AI-Powered Web Application With Next.js and TensorFlow.js: A Guide

by

This tutorial is designed to guide you through building an AI-powered web application and showcase the potential of AI in everyday web development. Artificial Intelligence (AI) is revolutionizing modern web technology, making it more innovative and responsive. By incorporating AI, developers can enhance user experiences through features like real-time data analysis, personalized content recommendations, and … Read more

Trends and Predictions: How Social Media Influencers Shape Consumer Buying Decisions

by

Influencers on social media have grown to be significant in determining how customers behave and how firms interact with their audiences. Brands hoping to stay ahead of the curve must understand the most recent trends and projections as influencer marketing builds traction. This article examines how influencers change how people make purchases and what the … Read more

INE Security Named 2024 SC Awards Finalist

by

CARY, North Carolina, August 30th, 2024, CyberNewsWire/–INE Security is pleased to announce that it has been recognized as a 2024 SC Award finalist in the Excellence Award category for Best IT Security-Related Training Program. Marking its 27th year, the SC Awards recognize the solutions, organizations, and individuals that have demonstrated exceptional achievement in advancing the … Read more

Where does In-context Translation Happen in Large Language Models: Where does In-context MT happen?

by

:::info Authors: (1) Suzanna Sia, Johns Hopkins University; (2) David Mueller; (3) Kevin Duh. ::: Table of Links Abstract and 1. Background 2. Data and Settings 3. Where does In-context MT happen? 4. Characterising Redundancy in Layers 5. Inference Efficiency 6. Further Analysis 7. Conclusion, Acknowledgments, and References A. Appendix 3. Where does In-context MT … Read more

Where does In-context Translation Happen in Large Language Models: Conclusion

by

:::info Authors: (1) Suzanna Sia, Johns Hopkins University; (2) David Mueller; (3) Kevin Duh. ::: Table of Links Abstract and 1. Background 2. Data and Settings 3. Where does In-context MT happen? 4. Characterising Redundancy in Layers 5. Inference Efficiency 6. Further Analysis 7. Conclusion, Acknowledgments, and References A. Appendix 7. Conclusion We demonstrate evidence … Read more

Where does In-context Translation Happen in Large Language Models: Further Analysis

by

:::info Authors: (1) Suzanna Sia, Johns Hopkins University; (2) David Mueller; (3) Kevin Duh. ::: Table of Links Abstract and 1. Background 2. Data and Settings 3. Where does In-context MT happen? 4. Characterising Redundancy in Layers 5. Inference Efficiency 6. Further Analysis 7. Conclusion, Acknowledgments, and References A. Appendix 6. Further Analysis In the … Read more

Where does In-context Translation Happen in Large Language Models: Inference Efficiency

by

:::info Authors: (1) Suzanna Sia, Johns Hopkins University; (2) David Mueller; (3) Kevin Duh. ::: Table of Links Abstract and 1. Background 2. Data and Settings 3. Where does In-context MT happen? 4. Characterising Redundancy in Layers 5. Inference Efficiency 6. Further Analysis 7. Conclusion, Acknowledgments, and References A. Appendix 5. Inference Efficiency Speeding up … Read more

Where does In-context Translation Happen in Large Language Models: Abstract and Background

by

:::info Authors: (1) Suzanna Sia, Johns Hopkins University; (2) David Mueller; (3) Kevin Duh. ::: Table of Links Abstract and 1. Background 2. Data and Settings 3. Where does In-context MT happen? 4. Characterising Redundancy in Layers 5. Inference Efficiency 6. Further Analysis 7. Conclusion, Acknowledgments, and References A. Appendix Abstract Self-supervised large language models … Read more

Where does In-context Translation Happen in Large Language Models: Characterising Redundancy in Laye

by

:::info Authors: (1) Suzanna Sia, Johns Hopkins University; (2) David Mueller; (3) Kevin Duh. ::: Table of Links Abstract and 1. Background 2. Data and Settings 3. Where does In-context MT happen? 4. Characterising Redundancy in Layers 5. Inference Efficiency 6. Further Analysis 7. Conclusion, Acknowledgments, and References A. Appendix 4. Characterising Redundancy in Layers … Read more

Where does In-context Translation Happen in Large Language Models: Data and Settings

by

:::info Authors: (1) Suzanna Sia, Johns Hopkins University; (2) David Mueller; (3) Kevin Duh. ::: Table of Links Abstract and 1. Background 2. Data and Settings 3. Where does In-context MT happen? 4. Characterising Redundancy in Layers 5. Inference Efficiency 6. Further Analysis 7. Conclusion, Acknowledgments, and References A. Appendix 2. Data and Settings Models … Read more

Where does In-context Translation Happen in Large Language Models: Appendix

by

:::info Authors: (1) Suzanna Sia, Johns Hopkins University; (2) David Mueller; (3) Kevin Duh. ::: Table of Links Abstract and 1. Background 2. Data and Settings 3. Where does In-context MT happen? 4. Characterising Redundancy in Layers 5. Inference Efficiency 6. Further Analysis 7. Conclusion, Acknowledgments, and References A. Appendix A. Appendix A.1. Graphical View … Read more

The Impact of Generative AI on Tech Outsourcing Models

by

Generative AI has upended the tech industry, and many wonder how much it will impact formerly outsourced roles. These questions remain largely unanswered since companies are in the relatively early stages of adoption. What’s known so far about this much-discussed topic, and how can people respond to the changes before it’s too late? Using AI … Read more

India to the US: Jagadish Nimmagadda on Innovation and Excellence in Software Engineering

by

Despite numerous opportunities, aspiring talent is often deterred by rapid technological advancements, intense competition, demanding work culture, lack of diversity, and financial barriers within the tech industry. This is where Jagadish Nimmagadda serves as an inspiring example. For Nimmagadda, being born in India has only made him more dynamic in his approach to life. From … Read more

Will You Face Superhuman Opponents at the Next Olympics?

by

So the Olympics just ended… So the Olympics just ended with a lot of controversies. From the disastrous opening ceremony to how clean and safe the Seine was for swimming, the thing that sparked the most heated arguments, where people insulting each other, creating huge conspiracy, harassing and bullying each other, etc. Imane Khelif, a … Read more

Evolution After Revolution: How the Role of an IT Architect is Changing in the Modern World

by

When a company needs to construct a new building, an architect comes into play. This professional makes the important decisions: designing the structure, selecting the materials, and ensuring it meets the standards of comfort, convenience, and aesthetic appeal for both occupants and onlookers. In the IT realm, there are architects who perform a comparable role. … Read more

Understanding Python Memory Efficiency: Tuples vs. Lists

by

When working with large datasets or optimizing the performance of your Python code, understanding how data structures consume memory is crucial. Two commonly used data structures in Python, lists and tuples, have significant differences in terms of memory usage. Let’s explore these differences with some Python code snippets and understand why tuples are generally more … Read more