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Literature Notes

Courses [4]

Readings

AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE

Article Lessions from my PhD

Redefining SOTA

Article Reflections on my (Machine Learning) PhD Journey

Scikit-learn Pitfalls

Article Top 10 Open Source MLOps Tools

Digital Zettelkasten

Book How to Take Smart Notes

How to Write a Paper with ZettleKasten

Zettlekasten Principles

DIT: SELF-SUPERVISED PRE-TRAINING FOR DOCUMENT IMAGE TRANSFORMER

Gu et al_2021_UniDoc

Learning with Signatures

Paper A Practical Survey on Faster and Lighter Transformers

Paper CANINE Pre-training an Efficient Tokenization-Free Encoder for Language Representation

Paper Charformer Fast Character Transformers via Gradient-based Subword Tokenization

data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language

Paper DeBERTa Decoding-enhanced BERT with disentangled attention

Paper Fastformer Additive Attention Can Be All You Need

Gradients without Backpropagation

Hidden Techinical Debt in Machine Learning Systems

Paper Language Models are Few-Shot Learners

LayoutReader Pre-training of Text and Layout for Reading Order Detection

Paper Muppet Massive Multi-task Representations with Pre-Finetuning

Paper Robust Open-Vocabulary Translation from Visual Text Representations

Paper Shortformer Better Language Modeling using Shorter Inputs

Paper Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Paper Switch Transformers

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

UNIPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

Post Embedding Layer might not be Necessary for Your Next NLP Project

Log in Python

Deduplication in Modern Large-scale LM Datasets

Research Two-sample Hypothesis Testing

Spelling Correction with Denoising Transformer

UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark

UniDoc Unified Pretraining Framework for Document Understanding

Unified Pretraining Framework for Document Understanding

Video Transformer in Transformer

Machine Learning Concepts [2]

Permanent Notes [24]

Privacy AI [2]

System Design [4]

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blog [1]

coffee [9]

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Readings

Pages matching path './*'

AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE
Article Lessions from my PhD
Redefining SOTA
Article Reflections on my (Machine Learning) PhD Journey
Scikit-learn Pitfalls
Article Top 10 Open Source MLOps Tools
Digital Zettelkasten
Book How to Take Smart Notes
How to Write a Paper with ZettleKasten
Zettlekasten Principles
DIT: SELF-SUPERVISED PRE-TRAINING FOR DOCUMENT IMAGE TRANSFORMER
Gu et al_2021_UniDoc
Learning with Signatures
Paper A Practical Survey on Faster and Lighter Transformers
Paper CANINE Pre-training an Efficient Tokenization-Free Encoder for Language Representation
Paper Charformer Fast Character Transformers via Gradient-based Subword Tokenization
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Paper DeBERTa Decoding-enhanced BERT with disentangled attention
Paper Fastformer Additive Attention Can Be All You Need
Gradients without Backpropagation
Hidden Techinical Debt in Machine Learning Systems
Paper Language Models are Few-Shot Learners
LayoutReader Pre-training of Text and Layout for Reading Order Detection
Paper Muppet Massive Multi-task Representations with Pre-Finetuning
Paper Robust Open-Vocabulary Translation from Visual Text Representations
Paper Shortformer Better Language Modeling using Shorter Inputs
Paper Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Paper Switch Transformers
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
UNIPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
Post Embedding Layer might not be Necessary for Your Next NLP Project
Log in Python
Deduplication in Modern Large-scale LM Datasets
Research Two-sample Hypothesis Testing
Spelling Correction with Denoising Transformer
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark
UniDoc Unified Pretraining Framework for Document Understanding
Unified Pretraining Framework for Document Understanding
Video Transformer in Transformer

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