Classical conditioning, also called Pavlovian conditioning or respondent conditioning, is learning through association. This behavioral learning method was first studied in the late 19th century by ...

We have provided a useful Response Rate Calculator below to work out your Response Rate as well as derive the number of users and conversions you would need to get a specific Response Rate. Feel free ...

Deep neural networks’ seemingly anomalous generalization behaviors, benign overfitting, double descent, and successful overparametrization are neither unique to neural networks nor inherently ...

If you want to improve your aerobic capacity, play full-court basketball, not softball. To improve your analytical skills, learn to play chess or bridge, not Chutes and Ladders. If you really want to ...

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 ...

The delicate balance between discrimination and generalization of responses is crucial for survival in our ever-changing environment. In particular, it is important to understand how stimulus ...

This paper revisits the robust overfitting phenomenon of adversarial training. Observing that models with better robust generalization performance are less certain in predicting adversarially ...

Abstract: The task of distribution generalization concerns making reliable prediction of a response in unseen environments. The structural causal models are shown to be useful to model distribution ...

Compositional generalization–understanding unseen combinations of seen primitives–is an essential reasoning capability in human intelligence. The AI community mainly studies this capability by ...

Regularization can mitigate the generalization gap between training and inference by introducing inductive bias. Existing works have already proposed various inductive biases from diverse perspectives ...