• MALSAR

  • Referenced in 5 articles [sw14319]
  • MALSAR (Multi-tAsk Learning via StructurAl Regularization) package includes the following multi-task learning algorithms ... Mean-Regularized Multi-Task Learning; Multi-Task Learning with Joint Feature Selection; Robust Multi-Task ... Task Learning; Alternating Structural Optimization; Incoherent Low-Rank and Sparse Learning; Robust Low-Rank Multi ... Task Learning; Clustered Multi-Task Learning; Multi-Task Learning with Graph Structures; Disease Progression Models...
  • IMPALA

  • Referenced in 9 articles [sw41064]
  • large collection of tasks using a single reinforcement learning agent with a single ... achieve stable learning at high throughput by combining decoupled acting and learning with a novel ... effectiveness of IMPALA for multi-task reinforcement learning on DMLab ... exhibits positive transfer between tasks as a result of its multi-task approach...
  • ApolloScape

  • Referenced in 6 articles [sw36630]
  • practically, sensor fusion and joint learning of multiple tasks are beneficial to achieve a more ... development of multi-sensor fusion and multi-task learning in the field of computer vision...
  • iPrivacy

  • Referenced in 3 articles [sw42190]
  • Identifying Sensitive Objects via Deep Multi-Task Learning. To achieve automatic recommendation of privacy settings ... their privacy settings are leveraged to learn the object-privacy relatedness effectively and identify ... object classes automatically; 2) a deep multi-task learning algorithm is developed to jointly learn...
  • MultiNet++

  • Referenced in 1 article [sw41671]
  • Aggregation and Geometric Loss Strategy for Multi-Task Learning. Multi-task learning is commonly used ... computational complexity. Current work on multi-task learning networks focus on processing a single input ... there is no known implementation of multi-task learning handling a sequence of images ... proposed strategies outperform various existing multi-task learning solutions...
  • MTLV

  • Referenced in 1 article [sw41673]
  • MTLV: a library for building deep multi-task learning architectures. Multi-Task Learning ... model with multiple task-specific layers on multiple related classification tasks to improve its generalization ... abstracts) datasets. We introduce the MTLV (Multi-Task Learning Visualizer) library for building Multi-task ... separate model on each cluster (Grouped Multi-Task Learning (GMTL)). Contextual representation of the class...
  • LEAF

  • Referenced in 2 articles [sw34096]
  • federated learning, meta-learning, and multi-task learning. As the machine learning community begins...
  • RMTL

  • Referenced in 1 article [sw41670]
  • package RMTL: Regularized Multi-Task Learning. Efficient solvers for 10 regularized multi-task learning algorithms...
  • MaChAmp

  • Referenced in 1 article [sw33965]
  • Toolkit for Multi-task Learning in NLP. Transfer learning, particularly approaches that combine multi-task ... learning with pre-trained contextualized embeddings and fine-tuning, have advanced the field of Natural ... fine-tuning BERT-like models in multi-task settings. The benefits of MaChAmp...
  • DSelect-k

  • Referenced in 1 article [sw41672]
  • Mixture of Experts with Applications to Multi-Task Learning. The Mixture-of-Experts (MoE) architecture ... results in improving parameter sharing in multi-task learning (MTL) and in scaling high-capacity...
  • LibMTL

  • Referenced in 1 article [sw41669]
  • LibMTL: A Python Library for Multi-Task Learning. This paper presents LibMTL, an open-source ... reproducible, and extensible implementation framework for Multi-Task Learning (MTL). LibMTL considers different settings...
  • RLBench

  • Referenced in 1 article [sw35086]
  • learning environment featuring 100 unique, hand-design tasks, tailored to facilitate research in a number ... research areas, including: reinforcement learning, imitation learning, multi-task learning, geometric computer vision...
  • PAMTRI

  • Referenced in 1 article [sw33959]
  • PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data ... challenges, we propose a Pose-Aware Multi-Task Re-Identification (PAMTRI) framework. This approach includes ... types) while performing ReID, through multi-task learning with the embedded pose representations. Since manually...
  • PaddleFL

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

  • Referenced in 1 article [sw40511]
  • integrative learning for large-scale multi-response regression with incomplete outcomes. Multi-task learning...
  • extraTrees

  • Referenced in 1 article [sw15907]
  • also provides extensions of ExtraTrees to multi-task learning and quantile regression. Uses Java implementation...
  • fwelnet

  • Referenced in 1 article [sw42226]
  • features” for better prediction. In some supervised learning settings, the practitioner might have additional information ... fwelnet might be used for multi-task learning...
  • DBTagger

  • Referenced in 1 article [sw42273]
  • DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural Networks...
  • RetinaFace

  • Referenced in 1 article [sw37050]
  • joint extra-supervised and self-supervised multi-task learning. Specifically, We make contributions...
  • abess

  • Referenced in 1 article [sw40395]
  • censored-response modeling, multi-response modeling (multi-tasks learning), etc. It also supports the variants...