ml:ml_outline
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| ml:ml_outline [2024/09/07 00:39] – jmflanig | ml:ml_outline [2025/12/16 19:40] (current) – jmflanig | ||
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| * [[Automatic Theorem Proving]] | * [[Automatic Theorem Proving]] | ||
| * [[application_optimization|Application: | * [[application_optimization|Application: | ||
| + | * [[Computer Use Agents]] | ||
| * Traditional ML Topics, see [[ml_overview|Overview of ML]] | * Traditional ML Topics, see [[ml_overview|Overview of ML]] | ||
| * [[Bayesian Methods]] | * [[Bayesian Methods]] | ||
| Line 28: | Line 29: | ||
| * [[Conditional Computation]] | * [[Conditional Computation]] | ||
| * [[gpu_deep_learning|Deep Learning on GPUs]] | * [[gpu_deep_learning|Deep Learning on GPUs]] | ||
| + | * [[Diffusion Models]] | ||
| * Dynamic Neural Networks, see [[Conditional Computation]] | * Dynamic Neural Networks, see [[Conditional Computation]] | ||
| + | * [[efficient_nns|Efficiency in NNs]] | ||
| * [[GANs|Generative Adversarial Networks (GANs)]] | * [[GANs|Generative Adversarial Networks (GANs)]] | ||
| * [[Gradient Clipping]] | * [[Gradient Clipping]] | ||
| * [[Graph_NN|Graph Neural Networks]] | * [[Graph_NN|Graph Neural Networks]] | ||
| + | * [[Mechanistic Interpretability]] | ||
| * [[Model Compression]] | * [[Model Compression]] | ||
| * [[Modularity]] | * [[Modularity]] | ||
| * [[Infinite Neural Networks]] | * [[Infinite Neural Networks]] | ||
| * [[Miscellaneous Neural Networks]] | * [[Miscellaneous Neural Networks]] | ||
| + | * [[Mixture of Expert Models]] | ||
| * [[Neural Architecture Search]] | * [[Neural Architecture Search]] | ||
| * **[[nn_architectures|Neural Network Architectures]]** | * **[[nn_architectures|Neural Network Architectures]]** | ||
| Line 41: | Line 46: | ||
| * [[nn_tricks|Neural Network Tricks]] | * [[nn_tricks|Neural Network Tricks]] | ||
| * [[Visualizing Neural Networks]] | * [[Visualizing Neural Networks]] | ||
| + | * [[mechanistic_interpretability# | ||
| + | * [[nn_sparsity|Sparsity]] | ||
| + | * [[State-Space Models]] | ||
| * [[nn_training|Training]] | * [[nn_training|Training]] | ||
| * [[Alternative Training Methods]] | * [[Alternative Training Methods]] | ||
| Line 62: | Line 70: | ||
| * [[Meta-Learning# | * [[Meta-Learning# | ||
| * [[Confidence]] | * [[Confidence]] | ||
| + | * [[Continual Learning]] | ||
| * [[Contrastive Learning]] | * [[Contrastive Learning]] | ||
| * [[Data Augmentation]] | * [[Data Augmentation]] | ||
| Line 67: | Line 76: | ||
| * [[Distribution Shift]] | * [[Distribution Shift]] | ||
| * [[Edge Computing]] | * [[Edge Computing]] | ||
| + | * [[Extreme Multi-Label Classification]] | ||
| * [[Fairness]] | * [[Fairness]] | ||
| * [[Few-shot Learning]] | * [[Few-shot Learning]] | ||
| * [[Green AI]] | * [[Green AI]] | ||
| * [[History of ML]] | * [[History of ML]] | ||
| + | * [[Image Generation]] | ||
| * [[Learning with Noise]] | * [[Learning with Noise]] | ||
| * [[Membership Inference]] | * [[Membership Inference]] | ||
| Line 84: | Line 95: | ||
| * [[Self-Play]] | * [[Self-Play]] | ||
| * [[Systems & ML]] | * [[Systems & ML]] | ||
| - | * [[State-Space Models]] | ||
| * [[Trustworthy AI]] | * [[Trustworthy AI]] | ||
| * [[Weakly-Supervised Learning]] | * [[Weakly-Supervised Learning]] | ||
ml/ml_outline.1725669578.txt.gz · Last modified: 2024/09/07 00:39 by jmflanig