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Collections including paper arxiv:1910.10683

Papers - Google

Lumiere: A Space-Time Diffusion Model for Video Generation

Paper • 2401.12945 • Published Jan 23 • 82
Long-form factuality in large language models

Paper • 2403.18802 • Published Mar 27 • 23
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion

Paper • 2403.18818 • Published Mar 27 • 22
TC4D: Trajectory-Conditioned Text-to-4D Generation

Paper • 2403.17920 • Published Mar 26 • 15

Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping

Paper • 2402.14083 • Published Feb 21 • 43
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Paper • 2305.13245 • Published May 22, 2023 • 5
Training a T5 Using Lab-sized Resources

Paper • 2208.12097 • Published Aug 25, 2022 • 1
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints

Paper • 2212.05055 • Published Dec 9, 2022 • 5

LLM_architectures

Nemotron-4 15B Technical Report

Paper • 2402.16819 • Published Feb 26 • 40
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29 • 50
RWKV: Reinventing RNNs for the Transformer Era

Paper • 2305.13048 • Published May 22, 2023 • 10
Reformer: The Efficient Transformer

Paper • 2001.04451 • Published Jan 13, 2020

Papers - Transfer Learning

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 6

Datasets - Text

about 1 month ago

bigcode/the-stack

Updated Apr 13, 2023 • 1.9k • 677
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 6
allenai/c4

Updated Jan 9 • 226k • 187
allenai/ai2_arc

Viewer • Updated Dec 21, 2023 • 1.06M • 88

Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 7
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Paper • 1909.08053 • Published Sep 17, 2019 • 2
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 6
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Paper • 2304.01373 • Published Apr 3, 2023 • 7

Papers - NLP Research

Efficient Estimation of Word Representations in Vector Space

Paper • 1301.3781 • Published Jan 16, 2013 • 6
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 6

a growing collection of arXiv papers read while learning ML 📜

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
Identity Mappings in Deep Residual Networks

Paper • 1603.05027 • Published Mar 16, 2016 • 2
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 5

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 34
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 11
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 7
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 11

Llemma: An Open Language Model For Mathematics

Paper • 2310.10631 • Published Oct 16, 2023 • 44
Mistral 7B

Paper • 2310.06825 • Published Oct 10, 2023 • 43
Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 30
BTLM-3B-8K: 7B Parameter Performance in a 3B Parameter Model

Paper • 2309.11568 • Published Sep 20, 2023 • 9

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