2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms
Peiyao Xiao, Hao Ban, Kaiyi Ji
Multi-objective optimization (MOO) has become an influential framework in many machine learning problems with multiple objectives such as learning with multiple criteria and multi-…
cs.LG2021★ 2 cited
Interleaving Learning, with Application to Neural Architecture Search
Hao Ban, Pengtao Xie
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…
cs.LG2020
Skillearn: Machine Learning Inspired by Humans' Learning Skills
Pengtao Xie, Xuefeng Du, Hao Ban
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 reca…