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Collections including paper arxiv:1512.03385

Understanding LLMs

Kimi K3: Open Frontier Intelligence

Paper • 2607.24653 • Published Jul 27 • 509
Efficient Memory Management for Large Language Model Serving with PagedAttention

Paper • 2309.06180 • Published Sep 12, 2023 • 69
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 21
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 140

Including paper interesting to me. Mostly LLM related

Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 17
Visualizing the Loss Landscape of Neural Nets

Paper • 1712.09913 • Published Dec 28, 2017 • 1
Neural Ordinary Differential Equations

Paper • 1806.07366 • Published Jun 19, 2018 • 1

Image Classification - Essential Research Papers

CINIC-10 is not ImageNet or CIFAR-10

Paper • 1810.03505 • Published Oct 2, 2018
ImageNet Large Scale Visual Recognition Challenge

Paper • 1409.0575 • Published Sep 1, 2014 • 11
Very Deep Convolutional Networks for Large-Scale Image Recognition

Paper • 1409.1556 • Published Sep 4, 2014 • 3
Going Deeper with Convolutions

Paper • 1409.4842 • Published Sep 17, 2014 • 2

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 32
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 17

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 • 5
scikit-image: Image processing in Python

Paper • 1407.6245 • Published Jul 23, 2014 • 1

250 Years of America, 250 Open AI Milestones

For the 250th birthday of the USA: the 250 most important American open models, datasets, papers and Spaces, ranked from #1 down. Happy 4th of July!

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 140
PyTorch: An Imperative Style, High-Performance Deep Learning Library

Paper • 1912.01703 • Published Dec 3, 2019 • 2
google-bert/bert-base-uncased

Fill-Mask • 0.1B • Updated Feb 19, 2024 • 73.1M • • 2.81k
openai-community/gpt2

Text Generation • 0.1B • Updated Feb 19, 2024 • 14.3M • 3.48k

Back to Basics: Let Denoising Generative Models Denoise

Paper • 2511.13720 • Published Nov 17, 2025 • 71
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 17
mHC: Manifold-Constrained Hyper-Connections

Paper • 2512.24880 • Published Dec 31, 2025 • 335

High Low Media's AI/ML bookshelf

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Paper • 1502.01852 • Published Feb 6, 2015 • 1
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 17
Focal Loss for Dense Object Detection

Paper • 1708.02002 • Published Aug 7, 2017
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers

Paper • 2409.20537 • Published Sep 30, 2024 • 13

Ilya 30u30 (Partial)

A selection of papers recommended by Ilya Sutskever to be up-to-speed on the bleeding edge in AI (at least the ones with ArXiv links).

Recurrent Neural Network Regularization

Paper • 1409.2329 • Published Sep 8, 2014 • 1
Pointer Networks

Paper • 1506.03134 • Published Jun 9, 2015 • 1
Order Matters: Sequence to sequence for sets

Paper • 1511.06391 • Published Nov 19, 2015 • 1
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Paper • 1811.06965 • Published Nov 16, 2018 • 1

Ilya's papers for Carmack

Ilya Sutskever: "If you really learn all of these, you’ll know 90% of what matters today." Full list: https://punkx.org/jackdoe/30.html

Recurrent Neural Network Regularization

Paper • 1409.2329 • Published Sep 8, 2014 • 1
Pointer Networks

Paper • 1506.03134 • Published Jun 9, 2015 • 1
Order Matters: Sequence to sequence for sets

Paper • 1511.06391 • Published Nov 19, 2015 • 1
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Paper • 1811.06965 • Published Nov 16, 2018 • 1

Understanding LLMs

Kimi K3: Open Frontier Intelligence

Paper • 2607.24653 • Published Jul 27 • 509
Efficient Memory Management for Large Language Model Serving with PagedAttention

Paper • 2309.06180 • Published Sep 12, 2023 • 69
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 21
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 140

250 Years of America, 250 Open AI Milestones

For the 250th birthday of the USA: the 250 most important American open models, datasets, papers and Spaces, ranked from #1 down. Happy 4th of July!

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 140
PyTorch: An Imperative Style, High-Performance Deep Learning Library

Paper • 1912.01703 • Published Dec 3, 2019 • 2
google-bert/bert-base-uncased

Fill-Mask • 0.1B • Updated Feb 19, 2024 • 73.1M • • 2.81k
openai-community/gpt2

Text Generation • 0.1B • Updated Feb 19, 2024 • 14.3M • 3.48k

Including paper interesting to me. Mostly LLM related

Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 17
Visualizing the Loss Landscape of Neural Nets

Paper • 1712.09913 • Published Dec 28, 2017 • 1
Neural Ordinary Differential Equations

Paper • 1806.07366 • Published Jun 19, 2018 • 1

Back to Basics: Let Denoising Generative Models Denoise

Paper • 2511.13720 • Published Nov 17, 2025 • 71
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 17
mHC: Manifold-Constrained Hyper-Connections

Paper • 2512.24880 • Published Dec 31, 2025 • 335

Image Classification - Essential Research Papers

CINIC-10 is not ImageNet or CIFAR-10

Paper • 1810.03505 • Published Oct 2, 2018
ImageNet Large Scale Visual Recognition Challenge

Paper • 1409.0575 • Published Sep 1, 2014 • 11
Very Deep Convolutional Networks for Large-Scale Image Recognition

Paper • 1409.1556 • Published Sep 4, 2014 • 3
Going Deeper with Convolutions

Paper • 1409.4842 • Published Sep 17, 2014 • 2

High Low Media's AI/ML bookshelf

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Paper • 1502.01852 • Published Feb 6, 2015 • 1
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 17
Focal Loss for Dense Object Detection

Paper • 1708.02002 • Published Aug 7, 2017
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers

Paper • 2409.20537 • Published Sep 30, 2024 • 13

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 32
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 17

Ilya 30u30 (Partial)

A selection of papers recommended by Ilya Sutskever to be up-to-speed on the bleeding edge in AI (at least the ones with ArXiv links).

Recurrent Neural Network Regularization

Paper • 1409.2329 • Published Sep 8, 2014 • 1
Pointer Networks

Paper • 1506.03134 • Published Jun 9, 2015 • 1
Order Matters: Sequence to sequence for sets

Paper • 1511.06391 • Published Nov 19, 2015 • 1
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Paper • 1811.06965 • Published Nov 16, 2018 • 1

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 • 5
scikit-image: Image processing in Python

Paper • 1407.6245 • Published Jul 23, 2014 • 1

Ilya's papers for Carmack

Ilya Sutskever: "If you really learn all of these, you’ll know 90% of what matters today." Full list: https://punkx.org/jackdoe/30.html

Recurrent Neural Network Regularization

Paper • 1409.2329 • Published Sep 8, 2014 • 1
Pointer Networks

Paper • 1506.03134 • Published Jun 9, 2015 • 1
Order Matters: Sequence to sequence for sets

Paper • 1511.06391 • Published Nov 19, 2015 • 1
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Paper • 1811.06965 • Published Nov 16, 2018 • 1

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