Bibliography (26):

1. Abandoning Objectives: Evolution Through the Search for Novelty Alone

2. ​ face#psitruncation-trick

   [Transclude the forward-link's context]

3. ​ ‘MLP NN’ directory

4. ​ Absolute Unit NNs: Regression-Based MLPs for Everything § Memorize All The Things

   [Transclude the forward-link's context]

5. ​ ‘dynamic evaluation (NN)’ directory

6. Barlow Twins: Self-Supervised Learning via Redundancy Reduction

7. Diffusion Models Beat GANs on Image Synthesis

8. ​ Making Anime Faces With StyleGAN § Discriminator Ranking: Using a Trained Discriminator to Rank and Clean Data

9. Neural Episodic Control

10. Go-Explore: First return, then explore

11. Guided evolutionary strategies: Augmenting random search with surrogate gradients

12. Decoupled Neural Interfaces using Synthetic Gradients

13. Using Fast Weights to Attend to the Recent Past

14. ​ idea#lower-variance-diffusion-sampling

    [Transclude the forward-link's context]

15. ​ idea#low-variance-z-sampling

    [Transclude the forward-link's context]

16. KNN-Diffusion: Image Generation via Large-Scale Retrieval

17. Wikipedia Bibliography:

    1. Prospero  :

       https://en.wikipedia.org/wiki/Prospero

    2. Caliban  :

       https://en.wikipedia.org/wiki/Caliban

    3. Robert Browning

    4. Caliban upon Setebos

    5. K-medoids

    6. Bloom filter

    7. Cuckoo filter  :

       https://en.wikipedia.org/wiki/Cuckoo_filter

    8. Diffusion model

    9. Vector database  :

       https://en.wikipedia.org/wiki/Vector_database

    10. Nearest neighbor search