Search Results for author: Ge Song

Found 6 papers, 3 papers with code

Cross-target Stance Detection by Exploiting Target Analytical Perspectives

no code implementations3 Jan 2024 Daijun Ding, Rong Chen, Liwen Jing, BoWen Zhang, Xu Huang, Li Dong, Xiaowen Zhao, Ge Song

In this paper, we propose a Multi-Perspective Prompt-Tuning (MPPT) model for CTSD that uses the analysis perspective as a bridge to transfer knowledge.

Language Modelling Large Language Model +1

BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster

1 code implementation CVPR 2022 Jason Dai, Ding Ding, Dongjie Shi, Shengsheng Huang, Jiao Wang, Xin Qiu, Kai Huang, Guoqiong Song, Yang Wang, Qiyuan Gong, Jiaming Song, Shan Yu, Le Zheng, Yina Chen, Junwei Deng, Ge Song

To address this challenge, we have open sourced BigDL 2. 0 at https://github. com/intel-analytics/BigDL/ under Apache 2. 0 license (combining the original BigDL and Analytics Zoo projects); using BigDL 2. 0, users can simply build conventional Python notebooks on their laptops (with possible AutoML support), which can then be transparently accelerated on a single node (with up-to 9. 6x speedup in our experiments), and seamlessly scaled out to a large cluster (across several hundreds servers in real-world use cases).

AutoML Distributed Computing +1

A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets

1 code implementation21 Feb 2022 Chengchun Shi, Runzhe Wan, Ge Song, Shikai Luo, Rui Song, Hongtu Zhu

In this paper we consider large-scale fleet management in ride-sharing companies that involve multiple units in different areas receiving sequences of products (or treatments) over time.

Management Multi-agent Reinforcement Learning +1

DTDN: Dual-task De-raining Network

1 code implementation21 Aug 2020 Zheng Wang, Jianwu Li, Ge Song

Removing rain streaks from rainy images is necessary for many tasks in computer vision, such as object detection and recognition.

Generative Adversarial Network object-detection +2

Less Memory, Faster Speed: Refining Self-Attention Module for Image Reconstruction

no code implementations20 May 2019 Zheng Wang, Jianwu Li, Ge Song, Tieling Li

Self-attention (SA) mechanisms can capture effectively global dependencies in deep neural networks, and have been applied to natural language processing and image processing successfully.

Image Reconstruction

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