EigenNoise: Data-Free Word Vector Initialization
Investigation into EigenNoise, a data-free initialization scheme for word vectors that approaches pre-trained model …
Optimization - Page 3
A Framework for Multi-Arm Bandit Problems: 5 Key Dimensions
Framework for understanding multi-arm bandit algorithms through five dimensions. Covers exploration vs exploitation and …
HyperNEAT: Scaling Neuroevolution with Geometric Patterns
How HyperNEAT uses indirect encoding and geometric patterns to evolve large-scale neural networks with biological …
NEAT: Evolving Neural Network Topologies
Learn about NEAT's approach to evolving neural networks: automatic topology design, historical markings, and speciation …
Cartesian Genetic Programming in Julia
An implementation of Cartesian Genetic Programming (CGP) featuring NEAT-like speciation mechanics and novel crossover …
GAN Objective Functions: A Comprehensive Guide
Complete guide to GAN objective functions including WGAN, LSGAN, Fisher GAN, and more. Understand which loss function to …
Understanding Generative Adversarial Networks (GANs)
Learn about GANs with intuitive explanations and mathematical foundations. Learn how adversarial networks generate …
FFTW Compiler in Haskell
Reverse-engineering the genfft logic to generate optimized C kernels for Fast Fourier Transforms using Haskell …
Term Schedule Optimizer
A constraint satisfaction solver built to generate conflict-free university schedules from web-scraped course data.