Results 11 to 20 of about 367,087 (259)
Statistical Learning Signals for Complex Visual Images in Macaque Early Visual Cortex
Frontiers in Neuroscience, 2020 Animals of several species, including primates, learn the statistical regularities of their environment. In particular, they learn the temporal regularities that occur in streams of visual images.
Victor Vergnieux +3 more
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Hierarchical Phrase-Based Sequence-to-Sequence Learning
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022 We describe a neural transducer that maintains the flexibility of standard sequence-to-sequence (seq2seq) models while incorporating hierarchical phrases as a source of inductive bias during training and as explicit constraints during inference. Our approach trains two models: a discriminative parser based on a bracketing transduction grammar whose ...
Wang, Bailin +3 more
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Suffixing, prefixing, and the functional order of regularities in meaningful strings [PDF]
Psihologija, 2013 The world’s languages tend to exhibit a suffixing preference, adding inflections to the ends of words, rather than the beginning of them. Previous works has suggested that this apparently universal preference arises out of the constraints ...
Ramscar Michael
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Acta Psychologica, 2016 While sequence learning research models complex phenomena, previous studies have mostly focused on unimodal sequences. The goal of the current experiment is to put implicit sequence learning into a multimodal context: to test whether it can operate across different modalities.
Ferenc Kemény, Beat Meier
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Sensors, 2020 Inspired by spiders that can generate and sense vibrations to obtain information regarding a substrate, we propose an intelligent system that can recognize the type of surface being touched by knocking the surface and listening to the vibrations.
Semin Ryu, Seung-Chan Kim
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Frontiers in Human Neuroscience, 2019 Children with Developmental Coordination Disorder (DCD) have difficulty performing and learning motor skills. Automatic activation of the mirror neuron system (MNS) during action observation and its coupling to the motor output system are important ...
Jessica M. Lust +6 more
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A Dual Simple Recurrent Network Model for Chunking and Abstract Processes in Sequence Learning
Frontiers in Psychology, 2021 Although many studies have provided evidence that abstract knowledge can be acquired in artificial grammar learning, it remains unclear how abstract knowledge can be attained in sequence learning.
Lituan Wang +11 more
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No Evidence That Abstract Structure Learning Disrupts Novel-Event Learning in 8- to 11-Month-Olds
Frontiers in Psychology, 2019 Although infants acquire specific information (e.g., motion of a specific toy) and abstract information (e.g., likelihood of events repeating), it is unclear whether extraction of abstract information interferes with specific learning.
Rachel Wu, Ting Qian, Richard N. Aslin
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General Sequence Teacher–Student Learning [PDF]
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019 In automatic speech recognition, performance gains can often be obtained by combining an ensemble of multiple models. However, this can be computationally expensive when performing recognition. Teacherstudent learning alleviates this cost by training a single student model to emulate the combined ensemble behaviour.
Jeremy Heng Meng Wong +2 more
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Deep Reinforcement Learning for Sequence-to-Sequence Models [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2019 In recent times, sequence-to-sequence (seq2seq) models have gained a lot of popularity and provide state-of-the-art performance in a wide variety of tasks such as machine translation, headline generation, text summarization, speech to text conversion, and image caption generation.
Yaser Keneshloo +3 more
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