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https://openreview.net/forum?id=nKJEAQ6JCY Flow Matching for Few-Trial Neural Adaptation with Stable Latent Dynamics | OpenReview The primary goal of brain-computer interfaces (BCIs) is to establish a direct linkage between neural activities and behavioral actions via neural decoders. Due... flow matching neural adaptation https://www.sri.com/publication/speech-natural-language-pubs/connectionist-gender-adaptation-in-a-hybrid-neural-network-hidden-markov-model-speech-recognition-system/ Connectionist Gender Adaptation in a Hybrid Neural Network / Hidden Markov Model Speech Recognition... Feb 24, 2023 - A method which combines gender-independent and -dependent MLP training is demonstrated, improving recognition accuracy while retaining robustness. hybrid neural network https://openreview.net/forum?id=vUuHPRrWs2 Practicality of generalization guarantees for unsupervised domain adaptation with neural networks |... Understanding generalization is crucial to confidently engineer and deploy machine learning models, especially when deployment implies a shift in the data... domain adaptation practicality generalization guarantees https://openreview.net/forum?id=H12GRgcxg Training deep neural-networks using a noise adaptation layer | OpenReview Training neural network with noisy labels deep neural networks training using noise adaptation https://aclanthology.org/N19-1209/ Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation - ACL... Brian Thompson, Jeremy Gwinnup, Huda Khayrallah, Kevin Duh, Philipp Koehn. Proceedings of the 2019 Conference of the North American Chapter of the Association... neural machine translation catastrophic forgetting domain adaptation overcoming https://aclanthology.org/N19-1189/ Curriculum Learning for Domain Adaptation in Neural Machine Translation - ACL Anthology Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh. Proceedings of the 2019 Conference of the North American Chapter of the... neural machine translation curriculum learning domain adaptation https://aclanthology.org/2021.mtsummit-up.27/ Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional Tagging - ACL... Emmanouil Stergiadis, Satendra Kumar, Fedor Kovalev, Pavel Levin. Proceedings of Machine Translation Summit XVIII: Users and Providers Track. 2021. neural machine translation multi domain adaptation https://aclanthology.org/W19-4602/ Morphology-aware Word-Segmentation in Dialectal Arabic Adaptation of Neural Machine Translation -... Ahmed Tawfik, Mahitab Emam, Khaled Essam, Robert Nabil, Hany Hassan. Proceedings of the Fourth Arabic Natural Language Processing Workshop. 2019. word segmentation dialectal arabic https://openreview.net/forum?id=T6OrPlyPV4 Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning |... We investigate neural ordinary and stochastic differential equations (neural ODEs and SDEs) to model stochastic dynamics in fully and partially observed... https://aclanthology.org/2020.socialnlp-1.8/ Multi-Task Supervised Pretraining for Neural Domain Adaptation - ACL Anthology Sara Meftah, Nasredine Semmar, Mohamed-Ayoub Tahiri, Youssef Tamaazousti, Hassane Essafi, Fatiha Sadat. Proceedings of the Eighth International Workshop on... multi task domain adaptation supervised neural acl https://elifesciences.org/articles/38215/figures Figures and data in Adaptation after vastus lateralis denervation in rats demonstrates neural... The adaptation strategy used by the nervous system following muscle paralysis restores task performance while minimizing the stresses and strains within a... https://elifesciences.org/articles/58734 Functional reallocation of sensory processing resources caused by long-term neural adaptation to... Chronic exposure to poor optical quality causes a functional reallocation of sensory processing resources that favors perceptual information less affected by...