Search Results for author:
Found 5 papers, 3 papers with code
Promoting Open-domain Dialogue Generation through Learning Pattern Information between Contexts and Responses
In this paper, we first build an open-domain dialogue model based on the pre-trained language model (i. e., GPT-2).
From CNN to Transformer: A Review of Medical Image Segmentation Models
Medical image segmentation is an important step in medical image analysis, especially as a crucial prerequisite for efficient disease diagnosis and treatment.
Multi-Dimensional Self Attention based Approach for Remaining Useful Life Estimation
We investigated the mainstream RUL prediction models and summarized the basic steps of RUL prediction modeling in this scenario.
Real-time Bidding Strategy in Display Advertising: An Empirical Analysis
Further, we quantitatively evaluate the performance of several representative bidding strategies on the iPinYou dataset.
Bid Optimization using Maximum Entropy Reinforcement Learning
In this paper, we first utilize a widely accepted linear bidding function to compute every impression's base price and optimize it by a mutable adjustment factor derived from the RTB auction environment, to avoid optimizing every impression's bidding price directly.
