#generalization

3 articles

01 ·★ MEMBER·PAPER·8 min read Paper Explained: LIT — Stopping Robots from Cheating on Visual Cues by Giving Vision a Single Doorway Robot foundation models learn to lean on irrelevant cues like backgrounds and lighting. LIT first teaches goal-directed motion without images, then lets vision reach the action expert only through pose-predicting latent tokens — improving LIBERO-Plus success on all four architectures tested. 02 ·Probability & Statistics·★ MEMBER·PAPER·11 min read Statistical Learning Theory — Why Does Learning Generalize? You only ever see finitely many examples, yet the model answers questions about data it has never seen. This piece builds the guarantee from scratch — Hoeffding, uniform convergence, VC dimension, PAC — then shows where it broke against deep learning, and what survives in day-to-day evaluation design. 03 ·Machine Learning Basics·FREE·6 min read What Machine Learning Really Is — Understanding “Learning” Without the Math What actually separates writing a program from training a model. Rules versus examples, memorization versus generalization, and a map of supervised, unsupervised, and reinforcement learning — with almost no math.