Interpretable and pedagogical examples
Exploring the significance of interpretable and pedagogical examples in technical contexts
Does batch size matter?
Exploring the impact of batch size in stochastic gradient descent and its relevance in enabling complex models
How 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.
Learning a hierarchy
Exploring the dynamics of hierarchy in learning systems
Generalizing from simulation
Exploring generalization in simulation models
Sim-to-real transfer of robotic control with dynamics randomization
Exploring sim-to-real transfer in robotic control using dynamics randomization
Asymmetric actor critic for image-based robot learning
Exploring the integration of asymmetric actor critic in image-based robot learning
Domain randomization and generative models for robotic grasping
Exploring domain randomization and generative models to improve robotic grasping performance.
Leveraging frameworks to speed up our development on iOS - Part 1
Modularizing an iOS project by leveraging frameworks to improve development speed and scalability challenges.
Meta-learning for wrestling
Exploring advanced meta-learning techniques in the context of wrestling
Competitive self-play
Exploring the dynamics of competitive self-play in machine learning
SoundCloud's Data Science Process
A blogpost about SoundCloud's efforts in improving their Data Science process and sharing the best practices among their Data Scientists.