1 citations · 1 across the 2 of their papers we have counts for
4 papers
Characterizing and Correcting Effective Target Shift in Online Learning
Ziyan Li, Naoki Hiratani
Online learning from a stream of data is a defining feature of intelligence, yet modern machine learning systems often struggle in this setting, especially under distributional shi…
Optimal Task Order for Continual Learning of Multiple Tasks
Ziyan Li, Naoki Hiratani
Continual learning of multiple tasks remains a major challenge for neural networks. Here, we investigate how task order influences continual learning and propose a strategy for opt…
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning
Naoki Hiratani
Continual learning of partially similar tasks poses a challenge for artificial neural networks, as task similarity presents both an opportunity for knowledge transfer and a risk of…
Optimal quadratic binding for relational reasoning in vector symbolic neural architectures
Naoki Hiratani, Haim Sompolinsky
Binding operation is fundamental to many cognitive processes, such as cognitive map formation, relational reasoning, and language comprehension. In these processes, two different m…