Pengtao Xie

Learning by Passing Tests, with Application to Neural Architecture Search

2020

Learning through tests is a broadly used methodology in human learning and shows great effectiveness in improving learning outcome: a sequence of tests are made with increasing levels of difficulty; the learner takes these tests …

Interleaving Learning, with Application to Neural Architecture Search

2021 · arXiv (Cornell University)

Interleaving learning is a human learning technique where a learner interleaves the studies of multiple topics, which increases long-term retention and improves ability to transfer learned knowledge. Inspired by the interleaving learning technique of humans, …

On the Generation of Medical Dialogues for COVID19

2020

<div>Under the pandemic of COVID-19, people experiencing COVID19-related symptoms or exposed to risk factors have a pressing need to consult doctors. Due to hospital closure,</div><div>a lot of consulting services have been moved online. Because of …

Skillearn: Machine Learning Inspired by Humans’ Learning Skills

2020

Humans, as the most powerful learners on the planet, have accumulated a lot of learning skills, such as learning through tests, interleaving learning, self-explanation, active recalling, to name a few. These learning skills and methodologies …

Incorporating Word Correlation Knowledge into Topic Modeling

2015

This paper studies how to incorporate the external word correlation knowledge to improve the coherence of topic modeling. Existing topic models assume words are generated independently and lack the mechanism to utilize the rich similarity …

CERT: Contrastive Self-supervised Learning for Language Understanding

2020

Pretrained language models such as BERT, GPT have shown great effectiveness in language understanding. The auxiliary predictive tasks in existing pretraining approaches are mostly defined on tokens, thus may not be able to capture sentence-level …