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--- ml:conditional_computation [2022/07/30 09:33] – [Dynamic and Conditional Computation] jmflanig
+++ ml:conditional_computation [2025/03/26 03:43] (current) – [Related Pages] jmflanig
@@ Line 1: / Line 1: @@
-====== Dynamic and Conditional Computation ======
+====== Dynamic NNs and Conditional Computation ======
 Dynamic neural networks use methods such as conditional computation, adaptive computation, dynamic model sparsification, early-exit approaches, etc to build larger models with less compute requirements.
+===== Overviews =====
+  * [[https://arxiv.org/pdf/2102.04906.pdf|Han et al 2021 - Dynamic Neural Networks: A Survey]]
 ===== Papers =====
   * [[https://arxiv.org/pdf/2101.03961.pdf|Fedus et al 2021 - Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity]] Uses conditional computation to scale-up the Transformer.  Good overview of conditional computation in the introduction.
+  * [[https://arxiv.org/pdf/2202.01169.pdf|Clark et al 2022 - Unified Scaling Laws for Routed Language Models]]
 ===== Workshops =====
   * [[https://dynn-icml2022.github.io/|DyNN Workshop 2022]]
+===== Related Pages =====
+  * [[Mixture of Expert Models|Mixture of Experts]]