• RolX

  • Referenced in 7 articles [sw32343]
  • linear in the number of edges), unsupervised learning approach for automatically extracting structural roles from ... from exploratory data analysis to network transfer learning. Moreover, we compare network role discovery with...
  • TRAMP

  • Referenced in 5 articles [sw08968]
  • Action-model acquisition for planning via transfer learning. Applying learning techniques to acquire action models ... learn action models with limited training data in a target domain, via transferring as much ... help the learning task, assuming action models in source domains can be transferred ... transferred knowledge as a set of weighted formulas. After that it learns action models...
  • FlowLab

  • Referenced in 22 articles [sw06528]
  • exercises, FlowLab eliminates the long learning curve associated ;with general fluid flow modeling packages, making ... basic concepts of fluid mechanics and heat/mass transfer using computer simulation ;Use computing exercises ... learning experience with real-world applications of fluid flow and heat/mass transfer ;Expose students...
  • GLUE

  • Referenced in 5 articles [sw30755]
  • tasks using parameter sharing or other transfer learning techniques. The ultimate goal of GLUE...
  • SciANN

  • Referenced in 3 articles [sw38344]
  • networks. SciANN uses the widely used deep-learning packages TensorFlow and Keras to build deep ... batch optimization and model reuse for transfer learning. SciANN is designed to abstract neural network...
  • DistilBERT

  • Referenced in 3 articles [sw30758]
  • smaller, faster, cheaper and lighter. As Transfer Learning from large-scale pre-trained models becomes...
  • jiant

  • Referenced in 2 articles [sw36054]
  • facilitate work on multitask learning and transfer learning for sentence understanding tasks. Check...
  • FedHealth

  • Referenced in 1 article [sw34101]
  • FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare. With the rapid development of computing ... healthcare achieves great success by training machine learning models on a large quantity of user ... propose FedHealth, the first federated transfer learning framework for wearable healthcare to tackle these challenges ... then builds personalized models by transfer learning. It is able to achieve accurate and personalized...
  • DeepRT

  • Referenced in 1 article [sw22012]
  • Chromatography Is Well Estimated upon Deep Transfer Learning. A fully automatic prediction for peptide retention ... hand-crafted features for peptides, DeepRT learns features from raw amino acid sequences and makes ... unmodified peptides. Furthermore, by virtue of transfer learning, DeepRT enables utilization of the peptides datasets ... could be largely improved by deep transfer learning. The DeepRT software is freely available...
  • SuperGLUE

  • Referenced in 2 articles [sw30754]
  • models and methods for pretraining and transfer learning have driven striking performance improvements across...
  • SBERT

  • Referenced in 2 articles [sw36204]
  • SRoBERTa on common STS tasks and transfer learning tasks, where it outperforms other state...
  • PaddleFL

  • Referenced in 1 article [sw34097]
  • training strategies such as Multi-task learning, Transfer Learning in Federated Learning settings will...
  • Net2Net

  • Referenced in 4 articles [sw38088]
  • Net2Net: Accelerating Learning via Knowledge Transfer. We introduce techniques for rapidly transferring the information stored...
  • MaChAmp

  • Referenced in 1 article [sw33965]
  • Multi-task Learning in NLP. Transfer learning, particularly approaches that combine multi-task learning with...
  • PLAXIS

  • Referenced in 5 articles [sw03271]
  • seminars focus on knowledge transfer rather than on learning how to use Plaxis software. With...
  • Morpheo

  • Referenced in 1 article [sw19661]
  • Morpheo is a transparent and secure machine learning platform collecting and analysing large datasets ... handle multiple data sources in a transfer learning approach in order to mutualize knowledge acquired...
  • CascadeTabNet

  • Referenced in 1 article [sw38127]
  • this paper, we present an improved deep learning-based end to end approach for solving ... recognition dataset. Additionally, we demonstrate effective transfer learning and image augmentation techniques that enable CNNs...
  • AENet

  • Referenced in 1 article [sw34921]
  • AENet: Learning Deep Audio Features for Video Analysis. We propose a new deep network ... detection by 16%. Furthermore, we perform transfer learning and show that our model learnt generic...
  • DeepGaze II

  • Referenced in 1 article [sw28154]
  • therefore a strong test of transfer learning. After conservative cross-validation, DeepGaze II explains about...
  • LSDA

  • Referenced in 0 articles [sw17855]
  • precisely localized labels. We develop methods for learning large scale recognition models which exploit joint ... strong (bounding box) labels and which transfer learned perceptual representations from strongly-labeled auxiliary tasks ... novel formulation of a joint multiple instance learning method that includes examples from object-centric ... when available, and also performs domain transfer learning to improve the underlying detector representation...