• 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...
  • DistilBERT

  • Referenced in 5 articles [sw30758]
  • smaller, faster, cheaper and lighter. As Transfer Learning from large-scale pre-trained models becomes...
  • GLUE

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

  • Referenced in 4 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...
  • EfficientNet

  • Referenced in 4 articles [sw39587]
  • Flowers (98.8%), and 3 other transfer learning datasets, with an order of magnitude fewer parameters...
  • jiant

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

  • Referenced in 1 article [sw39363]
  • Transfer Learning Toolkit: Primers and Benchmarks. The transfer learning toolkit wraps the codes ... transfer learning models and provides integrated interfaces, allowing users to use those models by calling...
  • 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...
  • DeepLabCut

  • Referenced in 2 articles [sw39263]
  • user-defined body parts with deep learning. Quantifying behavior is crucial for many applications ... markerless pose estimation based on transfer learning with deep neural networks that achieves excellent results...
  • 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...
  • dalib

  • Referenced in 1 article [sw39361]
  • dalib: Transfer Learning Library for Domain Adaptation and Finetune. Trans-Learn is a Transfer Learning...
  • 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...
  • PyKale

  • Referenced in 1 article [sw39156]
  • prediction, thus supporting multimodal learning and transfer learning (particularly domain adaptation) with latest deep learning...
  • 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...