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Collections including paper arxiv:2103.00020

A collection of arXiv papers from Chip Huyen's AI Engineering organized by chapter and ordered by when each appears in the book.

Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning

Paper • 2211.04325 • Published Oct 26, 2022
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 17
On the Opportunities and Risks of Foundation Models

Paper • 2108.07258 • Published Aug 16, 2021
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Paper • 2204.07705 • Published Apr 16, 2022 • 1

sentence-transformers/all-mpnet-base-v2

Sentence Similarity • Updated 8 days ago • 34.6M • • 1.01k
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 11
google-t5/t5-base

Translation • Updated Feb 14, 2024 • 3.26M • • 676
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 55

Learning Transferable Visual Models From Natural Language Supervision

Paper • 2103.00020 • Published Feb 26, 2021 • 11
Running on Zero

386

386

AICoverGen

🚀

Run image generation web UI

Transformer-based Models for Computer Vision

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26, 2024 • 53
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 8
Going deeper with Image Transformers

Paper • 2103.17239 • Published Mar 31, 2021
Training data-efficient image transformers & distillation through attention

Paper • 2012.12877 • Published Dec 23, 2020 • 2

computer vision papers 👓

Rich feature hierarchies for accurate object detection and semantic segmentation

Paper • 1311.2524 • Published Nov 11, 2013 • 1
DeepPose: Human Pose Estimation via Deep Neural Networks

Paper • 1312.4659 • Published Dec 17, 2013 • 1
Generative Adversarial Networks

Paper • 1406.2661 • Published Jun 10, 2014 • 4
scikit-image: Image processing in Python

Paper • 1407.6245 • Published Jul 23, 2014 • 1

Applied Machine Learning Papers

Reading List (Mainly Focused of VLM's and Diffusion Models)

Scalable Diffusion Models with Transformers

Paper • 2212.09748 • Published Dec 19, 2022 • 18
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Paper • 2311.15127 • Published Nov 25, 2023 • 13
Learning Transferable Visual Models From Natural Language Supervision

Paper • 2103.00020 • Published Feb 26, 2021 • 11
U-Net: Convolutional Networks for Biomedical Image Segmentation

Paper • 1505.04597 • Published May 18, 2015 • 9

Papers - Text - Encoders - Image - Clip

Learning Transferable Visual Models From Natural Language Supervision

Paper • 2103.00020 • Published Feb 26, 2021 • 11

Papers - OpenAI

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Paper • 1801.03924 • Published Jan 11, 2018 • 2
Fine-Tuning Language Models from Human Preferences

Paper • 1909.08593 • Published Sep 18, 2019 • 3
Training Verifiers to Solve Math Word Problems

Paper • 2110.14168 • Published Oct 27, 2021 • 4
Learning Transferable Visual Models From Natural Language Supervision

Paper • 2103.00020 • Published Feb 26, 2021 • 11

Papers - Image - Clip

Demystifying CLIP Data

Paper • 2309.16671 • Published Sep 28, 2023 • 20
Model Stock: All we need is just a few fine-tuned models

Paper • 2403.19522 • Published Mar 28, 2024 • 12
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Paper • 2404.01367 • Published Apr 1, 2024 • 22
On the Scalability of Diffusion-based Text-to-Image Generation

Paper • 2404.02883 • Published Apr 3, 2024 • 19

Learning Transferable Visual Models From Natural Language Supervision

Paper • 2103.00020 • Published Feb 26, 2021 • 11

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