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Collections including paper arxiv:1806.07572

Papers - Training - Cauchy-Schwarz Inequality

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Paper • 1806.07572 • Published Jun 20, 2018 • 1
Round and Round We Go! What makes Rotary Positional Encodings useful?

Paper • 2410.06205 • Published Oct 8, 2024 • 2

Papers - Training - Non-linear Learning - Lipschitz

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Paper • 1806.07572 • Published Jun 20, 2018 • 1

Papers - Training - Non-linear Learning - Kernel

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Paper • 1806.07572 • Published Jun 20, 2018 • 1

Papers - Training - Kernel

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Paper • 1806.07572 • Published Jun 20, 2018 • 1
Unraveling the Gradient Descent Dynamics of Transformers

Paper • 2411.07538 • Published Nov 12, 2024 • 2

Papers - Training

SELF: Language-Driven Self-Evolution for Large Language Model

Paper • 2310.00533 • Published Oct 1, 2023 • 2
GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length

Paper • 2310.00576 • Published Oct 1, 2023 • 2
A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity

Paper • 2305.13169 • Published May 22, 2023 • 4
Transformers Can Achieve Length Generalization But Not Robustly

Paper • 2402.09371 • Published Feb 14, 2024 • 14

Papers - Training - PCA - Kernel

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Paper • 1806.07572 • Published Jun 20, 2018 • 1

Papers - Training - Gradient Descent - Kernel

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Paper • 1806.07572 • Published Jun 20, 2018 • 1
Unraveling the Gradient Descent Dynamics of Transformers

Paper • 2411.07538 • Published Nov 12, 2024 • 2

Papers - Training - Non-linear Learning

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Paper • 1806.07572 • Published Jun 20, 2018 • 1

Papers - Image - Datasets - MNIST

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15
Neural Autoregressive Distribution Estimation

Paper • 1605.02226 • Published May 7, 2016 • 1
Visualizing Riemannian data with Rie-SNE

Paper • 2203.09253 • Published Mar 17, 2022 • 1

Papers - Training - Cauchy-Schwarz Inequality

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Paper • 1806.07572 • Published Jun 20, 2018 • 1
Round and Round We Go! What makes Rotary Positional Encodings useful?

Paper • 2410.06205 • Published Oct 8, 2024 • 2

Papers - Training - PCA - Kernel

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Paper • 1806.07572 • Published Jun 20, 2018 • 1

Papers - Training - Non-linear Learning - Lipschitz

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Paper • 1806.07572 • Published Jun 20, 2018 • 1

Papers - Training - Gradient Descent - Kernel

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Paper • 1806.07572 • Published Jun 20, 2018 • 1
Unraveling the Gradient Descent Dynamics of Transformers

Paper • 2411.07538 • Published Nov 12, 2024 • 2

Papers - Training - Non-linear Learning - Kernel

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Paper • 1806.07572 • Published Jun 20, 2018 • 1

Papers - Training - Non-linear Learning

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Paper • 1806.07572 • Published Jun 20, 2018 • 1

Papers - Training - Kernel

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Paper • 1806.07572 • Published Jun 20, 2018 • 1
Unraveling the Gradient Descent Dynamics of Transformers

Paper • 2411.07538 • Published Nov 12, 2024 • 2

Papers - Image - Datasets - MNIST

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15
Neural Autoregressive Distribution Estimation

Paper • 1605.02226 • Published May 7, 2016 • 1
Visualizing Riemannian data with Rie-SNE

Paper • 2203.09253 • Published Mar 17, 2022 • 1

Papers - Training

SELF: Language-Driven Self-Evolution for Large Language Model

Paper • 2310.00533 • Published Oct 1, 2023 • 2
GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length

Paper • 2310.00576 • Published Oct 1, 2023 • 2
A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity

Paper • 2305.13169 • Published May 22, 2023 • 4
Transformers Can Achieve Length Generalization But Not Robustly

Paper • 2402.09371 • Published Feb 14, 2024 • 14

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