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19 posts tagged with "deep-learning"
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Aligning LLMs without Reinforcement Learning

April 27, 2024  |  3 min read

DPO reduces the effort required to align LLMs. Here is how I created the Reviewer #2 Bot from TinyLlama using DPO.

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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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忙しい人のためのTuning Playbook

January 26, 2023  |  11 min read

ハイパーパラメータを決めるためのガイドである『Deep Learning Tuning Playbook』をまとめました。

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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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Awesome StyleGAN Applications

November 12, 2021  |  10 min read

The ability of StyleGAN to generate super-realistic images has been inspiring many application works. To have some sort of organized view on them, this post covers important papers with a focus on image manipulation.

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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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Transformers Now: A Survey of Recent Advances

November 02, 2020  |  10 min read

Transformer has undergone various application studies, model enhancements, etc. This post aims to provide an overview of these studies.

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Reproducing Deep Double Descent

June 13, 2020  |  7 min read

Double descent is one of the mysteries of modern machine learning. I reproduced the main results of the recent paper by Nakkiran et al. and posed some questions that occurred to me.

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BERT That Works on Browser

May 22, 2020  |  4 min read

This post explains how MobileBERT succeeded in reducing both model size and inference time and introduce its implementation in TensorFlow.js that works on web browsers.

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Recent Advances in Representation Learning

April 20, 2020  |  4 min read

"Representation" is a way AIs understand the world. This post is a short introduction to the representation learning in the "deep learning era."

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Downsizing StyleGAN2 for Training on a Single GPU

March 04, 2020  |  3 min read

Want to generate realistic images with a single GPU? This post demonstrates how to downsize StyleGAN2 with slight performance degradation.

Shion Honda

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