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9 posts tagged with "machine-learning"
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Year in Review: Deep Learning Papers in 2023

January 27, 2024  |  12 min read

Let's look back at the significant progress made in deep learning in 2023! Here are my 10 favorite papers.

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Year in Review: Deep Learning in 2022

January 17, 2023  |  6 min read

Uncover the top deep learning advancements of 2022. A year-in-review of key research papers and applications.

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A Look Back at Deep Learning in 2021 (Application)

January 03, 2022  |  4 min read

Let's look back at the updates in deep learning in 2021! This post covers four application projects worth checking out

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A Look Back at Deep Learning in 2021 (Research)

January 03, 2022  |  11 min read

Let's look back at the updates in deep learning in 2021! This post covers eight research papers worth checking out.

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Creating a Face Swapping Model in 10 Minutes

January 13, 2021  |  3 min read

Let's re-inplement face swapping in 10 minutes! This post shows a naive solution using a pre-trained CNN and OpenCV.

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NeurIPS 2020 Favorite Papers

January 10, 2021  |  6 min read

NeurIPS 2020 virtual conference was full of exciting presentations! Here I list some notable ones with brief introductions.

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Best Machine Learning Papers of 2020

January 02, 2021  |  12 min read

Let's look back on the machine learning papers published in 2020! This post covers 10 representative papers that I found interesting and worth reading.

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Custom Objective for LightGBM

November 22, 2020  |  6 min read

If you want to use a custom loss function with a modern GBDT model, you'll need the first- and second-order derivatives. This post shows how to implement them, using LightGBM as an example

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Different Measures of Feature Importance Behave Differently

September 05, 2020  |  7 min read

This post compares the behaviors of different feature importance measures in tricky situations.

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