Abstract: Recently, generalization memorization machine (GMM) has been proposed with zero empirical risk and well generalization in small sample size binary classification problems. This paper extends ...

Performances in N.Y.C. Advertisement Supported by A novel approach to Mozart’s Requiem, orchestral works by Tania León and music conducted by Joe Hisaishi are among the highlights. F. Murray Abraham, ...

Key takeaway: When learning over discrete prompts used in modern vision-language models, classical PAC-Bayes bounds turn out to be remarkably tight — significantly tighter than prior PAC-Bayes results ...

Classical conditioning was first discovered by Russian physiologist Ivan Pavlov in the early 1900s. Pavlov wasn’t initially studying learning at all – he was researching digestion in dogs (a line of ...

Prior work suggests SFT risks overfitting to training data, making models brittle when faced with new task variants. For example, an SFT-tuned model might excel at arithmetic problems using specific ...

Summary: Classical and operant conditioning compete in the brain, preventing simultaneous learning of conflicting actions. Using fruit flies, researchers demonstrated that attempting to teach both ...

Researchers at Tel Aviv University have discovered that the brain cannot learn simultaneously through both classical conditioning and operant conditioning. In fact, the brain actively prevents the ...

Ashish Pawar is an experienced software engineer skilled in creating scalable software and AI-enhanced solutions across data-driven and cloud applications, with a proven track record at companies like ...