Few-shot learning with adaptively initialized task optimizer: a practical meta-learning approach
Sign Up to like & getrecommendations! Published in 2019 at "Machine Learning"
DOI: 10.1007/s10994-019-05838-7
Abstract: Considering the data collection and labeling cost in real-world applications, training a model with limited examples is an essential problem in machine learning, visual recognition, etc. Directly training a model on such few-shot learning (FSL)… read more here.
Keywords: shot learning; meta learning; task; adaptively initialized ... See more keywords
Meta-learning in natural and artificial intelligence
Sign Up to like & getrecommendations! Published in 2021 at "Current Opinion in Behavioral Sciences"
DOI: 10.1016/j.cobeha.2021.01.002
Abstract: Meta-learning, or learning to learn, has gained renewed interest in recent years within the artificial intelligence community. However, meta-learning is incredibly prevalent within nature, has deep roots in cognitive science and psychology, and is currently… read more here.
Keywords: intelligence; meta learning; artificial intelligence; learning natural ... See more keywords
Serotonin neurons modulate learning rate through uncertainty
Sign Up to like & getrecommendations! Published in 2022 at "Current Biology"
DOI: 10.1016/j.cub.2021.12.006
Abstract: Regulating how fast to learn is critical for flexible behavior. Learning about the consequences of actions should be slow in stable environments, but accelerate when that environment changes. Recognizing stability and detecting change are difficult… read more here.
Keywords: modulate learning; meta learning; serotonin; serotonin neurons ... See more keywords
Emotion recognition from facial images with simultaneous occlusion, pose and illumination variations using meta-learning
Sign Up to like & getrecommendations! Published in 2021 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2021.06.012
Abstract: Abstract Automatic facial emotion recognition in real-world situations like partial occlusions, varying head poses and illumination conditions are challenging to the machine learning community. The main reason is the lack of sufficient samples with the… read more here.
Keywords: illumination; emotion recognition; meta learning;
A Concise Review of Recent Few-shot Meta-learning Methods
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.05.114
Abstract: Few-shot meta-learning has been recently reviving with expectations to mimic humanity's fast adaption to new concepts based on prior knowledge. In this short communication, we give a concise review on recent representative methods in few-shot… read more here.
Keywords: concise review; shot meta; meta learning; review recent ... See more keywords
Context-sensitive zero-shot semantic segmentation model based on meta-learning
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.08.120
Abstract: Abstract The zero-shot semantic segmentation requires models with a strong image understanding ability. The majority of current solutions are based on direct mapping or generation. These schemes are effective in dealing with the zero-shot recognition,… read more here.
Keywords: shot semantic; meta learning; shot; zero shot ... See more keywords
A meta-learning approach for genomic survival analysis
Sign Up to like & getrecommendations! Published in 2020 at "Nature Communications"
DOI: 10.1038/s41467-020-20167-3
Abstract: RNA sequencing has emerged as a promising approach in cancer prognosis as sequencing data becomes more easily and affordably accessible. However, it remains challenging to build good predictive models especially when the sample size is… read more here.
Keywords: cancer; survival analysis; meta learning; learning approach ... See more keywords
ERP prototypical matching net: a meta-learning method for zero-calibration RSVP-based image retrieval
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac5eb7
Abstract: Objective. A rapid serial visual presentation (RSVP)-based brain-computer interface (BCI) is an efficient information detection technology through detecting event-related potentials (ERPs) evoked by target visual stimuli. The BCI system requires a time-consuming calibration process to… read more here.
Keywords: meta learning; zero calibration; erp prototypical; calibration ... See more keywords
A meta-learning BCI for estimating decision confidence
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac7ba8
Abstract: Objective. We investigated whether a recently introduced transfer-learning technique based on meta-learning could improve the performance of brain–computer interfaces (BCIs) for decision-confidence prediction with respect to more traditional machine learning methods. Approach. We adapted the… read more here.
Keywords: transfer learning; decision; meta learning; decision confidence ... See more keywords
Customized Handmade Pulmonary Valved Conduit Reconstruction for Children and Adult Patients Using Meta-Learning Based Intelligent Model
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2815599
Abstract: Percutaneous pulmonary valve implantation is an improved technique that is used to treat narrowed pulmonary valves or leaky pulmonary valves in patients with congenital heart disease. This technique represents a promising strategy to reduce surgical… read more here.
Keywords: valved conduit; handmade pulmonary; meta learning; pulmonary valved ... See more keywords
Cardiac Arrhythmias Automated Screening Using Discrete Fractional-Order Integration Process and Meta Learning Based Intelligent Classifier
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2870689
Abstract: Cardiac arrhythmias reveal multiple morphologies in time-domain waveforms. Abnormal beats reflect the origin and the conduction path of the ectopic heart activation pulses, including supraventricular, junctional, and ventricular arrhythmias and conduction abnormalities. This paper proposes… read more here.
Keywords: meta learning; fractional order; cardiac arrhythmias; learning based ... See more keywords