This paper presents the design, implementation, and evaluation of the PyTorch distributed data parallel module.
Deep learning frameworks have often focused on either usability or speed, but not both.
In this paper, we address the over-confidence issue and the over-sensitivity issue existing in current RC models simultaneously with the help of external linguistic knowledge.
We present a large, tunable neural conversational response generation model, DialoGPT (dialogue generative pre-trained transformer).
In this work we introduce a new optimisation method called SAGA in the spirit of SAG, SDCA, MISO and SVRG, a set of recently proposed incremental gradient algorithms with fast linear convergence rates.