You cannot find what you are not looking for: Population differences in relational reasoning are sometimes differences in inductive biases alone
Sign Up to like & getrecommendations! Published in 2022 at "Cognition"
DOI: 10.1016/j.cognition.2021.105007
Abstract: Relational reasoning is a cornerstone of human cognition. Extensive work, drawing on the Relational Match to Sample paradigm (RMTS), has established that humans, at least above the age of five, are much more proficient relational… read more here.
Keywords: rmts; relational reasoning; inductive biases; four year ... See more keywords
Compositional inductive biases in function learning
Sign Up to like & getrecommendations! Published in 2017 at "Cognitive Psychology"
DOI: 10.1016/j.cogpsych.2017.11.002
Abstract: How do people recognize and learn about complex functional structure? Taking inspiration from other areas of cognitive science, we propose that this is achieved by harnessing compositionality: complex structure is decomposed into simpler building blocks.… read more here.
Keywords: compositional inductive; biases function; inductive biases; structure ... See more keywords
Few-Sample Traffic Prediction With Graph Networks Using Locale as Relational Inductive Biases
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3219618
Abstract: Accurate short-term traffic prediction plays a pivotal role in various smart mobility operation and management systems. Currently, most of the state-of-the-art prediction models are based on graph neural networks (Gnns), and the required training samples… read more here.
Keywords: traffic prediction; relational inductive; sample traffic; traffic ... See more keywords
From CAPTCHA to Commonsense: How Brain Can Teach Us About Artificial Intelligence
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2020.554097
Abstract: Despite the recent progress in AI powered by deep learning in solving narrow tasks, we are not close to human intelligence in its flexibility, versatility, and efficiency. Efficient learning and effective generalization come from inductive… read more here.
Keywords: intelligence; brain teach; captcha commonsense; brain ... See more keywords
Neuromorphic Systems Design by Matching Inductive Biases to Hardware Constraints
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2020.00437
Abstract: Neuromorphic systems are designed with careful consideration of the physical properties of the computational substrate they use. Neuromorphic engineers often exploit physical phenomena to directly implement a desired functionality, enabled by “the isomorphism between physical… read more here.
Keywords: neuromorphic systems; hardware constraints; inductive biases; systems design ... See more keywords
CCRRSleepNet: A Hybrid Relational Inductive Biases Network for Automatic Sleep Stage Classification on Raw Single-Channel EEG
Sign Up to like & getrecommendations! Published in 2021 at "Brain Sciences"
DOI: 10.3390/brainsci11040456
Abstract: In the inference process of existing deep learning models, it is usually necessary to process the input data level-wise, and impose a corresponding relational inductive bias on each level. This kind of relational inductive bias… read more here.
Keywords: sleep stage; deep learning; relational inductive; ccrrsleepnet ... See more keywords