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Collections including paper arxiv:1409.3215

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

Fundamentals NLP

Distributed Representations of Sentences and Documents

Paper • 1405.4053 • Published May 16, 2014
Sequence to Sequence Learning with Neural Networks

Paper • 1409.3215 • Published Sep 10, 2014 • 3
PaLM: Scaling Language Modeling with Pathways

Paper • 2204.02311 • Published Apr 5, 2022 • 2
Recent Trends in Deep Learning Based Natural Language Processing

Paper • 1708.02709 • Published Aug 9, 2017

machine learning and neural network papers 📜

SMOTE: Synthetic Minority Over-sampling Technique

Paper • 1106.1813 • Published Jun 9, 2011 • 1
Scikit-learn: Machine Learning in Python

Paper • 1201.0490 • Published Jan 2, 2012 • 1
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Paper • 1406.1078 • Published Jun 3, 2014
Distributed Representations of Sentences and Documents

Paper • 1405.4053 • Published May 16, 2014

Transformer Arch

Checkout: https://bbycroft.net/llm and http://nlp.seas.harvard.edu/2018/04/03/attention.html

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 56
ImageNet Large Scale Visual Recognition Challenge

Paper • 1409.0575 • Published Sep 1, 2014 • 8
Sequence to Sequence Learning with Neural Networks

Paper • 1409.3215 • Published Sep 10, 2014 • 3
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 13

Embedding Papers

Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 80
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 17
Metadata Might Make Language Models Better

Paper • 2211.10086 • Published Nov 18, 2022 • 4
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers

Paper • 2310.03686 • Published Oct 5, 2023 • 3

Multimodal Papers

From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations

Paper • 2401.01885 • Published Jan 3, 2024 • 28
Media2Face: Co-speech Facial Animation Generation With Multi-Modality Guidance

Paper • 2401.15687 • Published Jan 28, 2024 • 23
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action

Paper • 2312.17172 • Published Dec 28, 2023 • 28
MouSi: Poly-Visual-Expert Vision-Language Models

Paper • 2401.17221 • Published Jan 30, 2024 • 9

Seminal AI Papers

A collection of top AI papers.

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 56
You Only Look Once: Unified, Real-Time Object Detection

Paper • 1506.02640 • Published Jun 8, 2015 • 1
HEp-2 Cell Image Classification with Deep Convolutional Neural Networks

Paper • 1504.02531 • Published Apr 10, 2015
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Paper • 2401.05566 • Published Jan 10, 2024 • 29

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