就目前对于transfer learning on tabular上的理解而言,model-based的解决方案是比较make sense的,distance based的方法并不是很可靠,一方面海量数据下的距离计算的复杂度是很高的,如果涉及到一些次优的“优化” 方法,例如在损害一定精度的情况下计算,则结果会更惨不忍睹,一方面tabular data复杂的type 使得其距离计算变得...
3,4,5,6,7,8,9,10,11. Importantly, as humans primarily interact with the world through language, LLMs are poised to be the point of access to the multimodal medical artificial intelligence (AI) solutions of the future12. Until now, however,...
Raffel, C., et al. (2019).Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer- This paper presents T5, a model that adapts the original Transformer architecture to a unified text-to-text format, enabling its use for various NLP tasks with minimal task-specific...
Machine learning, a subset of artificial intelligence, has revolutionalized the world as we know it in the past decade. The information explosion has resulted in the collection of massive amounts of data, especially by large companies such as Facebook and Google. This amount of data, coupled w...
根据前文“There is always the risk of your learners just going through the material without paying close attention to any of it. (总是存在这样的风险,即你的学习者只是浏览材料而没有注意其中的任何内容)”可知,线上学习还有可能导致学习者注意力不集中,D. If your eLearning content is not built to...
TRANSFER of trainingSEIZURES (Medicine)FEATURE extractionPREDICTION modelsSCIENTIFIC communityKNOWLEDGE transferDEEP learningAccording to the literature, seizure prediction models should be developed following a patient-specific approach. However, seizures are usually very rare events, meaning the number of ...
Manual segmentations of anatomical regions in the brain are time consuming and costly to acquire. In a clinical trial setting, this is prohibitive and automated methods are needed for routine application. We propose a deep-learning architecture that auto
^A theory of learning from different domains ^Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization ^Strategies for Pre-training Graph Neural Networks ^GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation ^Unsupervised Domain Adaptive Graph Convolutional...
We give particular emphasis to the radical nature of Poincaré's and Zermelo's attack, and the importance of the shift in Boltzmann's thinking in response to the objections taken together. 展开 关键词: Humans Association Learning Knowledge of Results (Psychology Transfer (Psychology Adult Cues ...
Designing Tasks to Promote and Assess Mathematical Transfer in Primary School Children. This study aims to design learning situations and tasks that promote and assess the capacity of primary school children to transfer mathematical knowledge to new contexts. We discuss previous studies investigating mathe...