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40 posts

Tutorial

On the Generalizability and Predictability of Recommender Systems

In this blog post, we discuss Abacus.AI’s NeurIPS 2022  paper on recommender systems.Paper: https://arxiv.org/abs/2206.11886Code: https://github.com/naszilla/reczilla1 min video: https://www.youtube.com/watch?v=Eu8G3oNzcvU5 min video: https://www.youtube.com/watch?v=NkNdxF5chZY The concept of meta-learning is both simple and powerful: information about the past performance...

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Posted by Abacus.AINovember 6, 2022
Research

Abacus.AI at NeurIPS 2022

The Abacus.AI team has published two papers to appear at the Conference on Neural Information Processing Systems (NeurIPS) 2022. NeurIPS is a top machine learning conference held every December. Abacus.AI is also planning a social...

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Posted by Abacus.AISeptember 23, 2022
Tutorial

Beginners Guide To Transformer Models

In our previous post, we presented an introduction to Seq2Seq models – models that take a sequence as an input and produce a sequence for their output. Back in 2014, they revolutionized the field of...

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Posted by Abacus.AIAugust 18, 2020
Insight

Solving A Hard AI Problem: Generating Forecasts In Sparse Data Environments!

Anyone who’s worked in a manufacturing space can tell you that one of the most significant challenges they face is managing supply chains of the materials and speciality items used to fabricate products. Without clear foresight into demand, how, when and from where they’ll get these vital items, the manufacturing process can quickly become untenable.

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Posted by Abacus.AIJuly 30, 2020
Insight

Becoming An AI First Organization: The 1-800-Flowers Journey

Abacus.AI’s service empowers all our developers and data scientists to rapidly create powerful deep learning models at scale, in production. We can optimize all aspects of our user experience including personalizing emails, predictive churn and providing contextual real-time recommendations. This translates a lift in both user-engagement and revenue.

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Posted by Abacus.AIJuly 23, 2020
Research

Debiasing Facial Prediction Models with Adversarial Fine-Tuning

Today, we at Abacus.AI are thrilled to announce our Series A funding and Mike Volpi and Ram Shriram as Board Directors. In addition, we are open-sourcing our debiasing module. In this post, we give an introduction to bias in computer vision models and discuss our new research on debiasing models.

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Posted by Abacus.AIJuly 14, 2020
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