OpenAILearning sparse neural networks through L₀ regularization
Optimizing neural networks by introducing L₀ regularization for sparsity learning
OpenAIInterpretable and pedagogical examples
Exploring the significance of interpretable and pedagogical examples in technical contexts
Jane StreetDoes batch size matter?
Exploring the impact of batch size in stochastic gradient descent and its relevance in enabling complex models
Jane StreetHow Jane Street Does Code Review (Jane Street Tech Talk)
The blogpost discusses Jane Street's approach to code review, focusing on their code review system Iron.
OpenAILearning a hierarchy
Exploring the dynamics of hierarchy in learning systems
OpenAIGeneralizing from simulation
Exploring generalization in simulation models
OpenAISim-to-real transfer of robotic control with dynamics randomization
Exploring sim-to-real transfer in robotic control using dynamics randomization
OpenAIAsymmetric actor critic for image-based robot learning
Exploring the integration of asymmetric actor critic in image-based robot learning
OpenAIDomain randomization and generative models for robotic grasping
Exploring domain randomization and generative models to improve robotic grasping performance.
SoundCloudLeveraging frameworks to speed up our development on iOS - Part 1
Modularizing an iOS project by leveraging frameworks to improve development speed and scalability challenges.
OpenAIMeta-learning for wrestling
Exploring advanced meta-learning techniques in the context of wrestling
OpenAICompetitive self-play
Exploring the dynamics of competitive self-play in machine learning