-
Multitask Diļ¬usion Adaptation over Networks
The dataset used in the paper is a simulated multi-task nonlinear problem. -
Multitask dataset of product reviews
The dataset used in the paper is the Multitask dataset of product reviews, containing customer reviews for 957 Amazon products from the "Amazon product data" (McAuley et al.,... -
Decentralized Multitask Learning
The dataset used in the paper is a network of agents with heterogeneous objectives and data. -
Multitask Character Classification Benchmark
The Multitask Character Classification Benchmark consists of 8 publicly available character classification tasks. -
muNet: Evolving Pretrained Deep Neural Networks into Scalable Auto-tuning Mul...
The proposed method uses the layers of a pretrained deep neural network as building blocks to construct an ML system that can jointly solve an arbitrary number of tasks.