no code implementations • WMT (EMNLP) 2021 • Meng Zhang, Minghao Wu, Pengfei Li, Liangyou Li, Qun Liu
This paper describes the NoahNMT system submitted to the WMT 2021 shared task of Very Low Resource Supervised Machine Translation.
no code implementations • 18 Apr 2022 • Pengfei Li, Jianyi Yang, Shaolei Ren
Nonetheless, by using the standard practice of training an ML model as a standalone optimizer and plugging it into an ML-augmented algorithm, the average cost performance can be highly unsatisfactory.
1 code implementation • ACL 2022 • Pengfei Li, Liangyou Li, Meng Zhang, Minghao Wu, Qun Liu
To the best of our knowledge, this is the first work to pre-train a unified model for fine-tuning on both NMT tasks.
1 code implementation • 15 Feb 2022 • Long Yang, Jiaming Ji, Juntao Dai, Yu Zhang, Pengfei Li, Gang Pan
Although using bounds as surrogate functions to design safe RL algorithms have appeared in some existing works, we develop them at least three aspects: (i) We provide a rigorous theoretical analysis to extend the surrogate functions to generalized advantage estimator (GAE).
1 code implementation • 29 Nov 2021 • Pengfei Li, Yongliang Shi, Tianyu Liu, Hao Zhao, Guyue Zhou, Ya-Qin Zhang
Recent advances show that semi-supervised implicit representation learning can be achieved through physical constraints like Eikonal equations.
no code implementations • 1 Oct 2021 • Yan Xia, Linhui Jiang, Lu Wang, Xue Chen, Jianjie Ye, Tangyan Hou, Liqiang Wang, Yibo Zhang, Mengying Li, Zhen Li, Zhe Song, Yaping Jiang, Weiping Liu, Pengfei Li, Daniel Rosenfeld, John H. Seinfeld, Shaocai Yu
Our results show that the ORRS measurements, assisted by the machine-learning-based ensemble model developed here, can realize day-to-day supervision of on-road vehicle-specific emissions.
no code implementations • 8 Apr 2021 • Qiyao Wang, Pengfei Li, Li Zhu, Yi Niu
For the text spotting task, we detect the characters on integrated circuit and classify them based on yolov5 detection model.
no code implementations • 27 Jan 2021 • Pengfei Li, Federico Lelli, Stacy McGaugh, James Schombert, Kyu-Hyun Chae
The application of Bayesian techniques to astronomical data is generally non-trivial because the fitting parameters can be strongly degenerated and the formal uncertainties are themselves uncertain.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
1 code implementation • 29 Dec 2020 • Shuang Xu, Lizhen Ji, Zhe Wang, Pengfei Li, Kai Sun, Chunxia Zhang, Jiangshe Zhang
According to the idea that each local region in the fused image should be similar to the sharpest one among source images, this paper presents an optimization-based approach to reduce defocus spread effects.
no code implementations • 15 Dec 2020 • Peixiang Zhong, Di Wang, Pengfei Li, Chen Zhang, Hao Wang, Chunyan Miao
Experimental results on two large-scale datasets support our hypothesis and show that our model can produce more accurate and commonsense-aware emotional responses and achieve better human ratings than state-of-the-art models that only specialize in one aspect.
no code implementations • 14 Dec 2020 • Long Yang, Gang Zheng, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan
We study the convergence of $\mathtt{Expected~Sarsa}(\lambda)$ with linear function approximation.
1 code implementation • ECCV 2020 • He Chen, Pengfei Guo, Pengfei Li, Gim Hee Lee, Gregory Chirikjian
In this paper, we depart from the multi-person 3D pose estimation formulation, and instead reformulate it as crowd pose estimation.
2 code implementations • 20 Mar 2020 • Zixiang Zhao, Shuang Xu, Chun-Xia Zhang, Junmin Liu, Pengfei Li, Jiangshe Zhang
Infrared and visible image fusion, a hot topic in the field of image processing, aims at obtaining fused images keeping the advantages of source images.
no code implementations • 9 Dec 2019 • Pengfei Li, Weichao Qiu, Michael Peven, Gregory D. Hager, Alan L. Yuille
Scene context is a powerful constraint on the geometry of objects within the scene in cases, such as surveillance, where the camera geometry is unknown and image quality may be poor.
no code implementations • IJCNLP 2019 • Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li
While attention mechanisms have been proven to be effective in many NLP tasks, majority of them are data-driven.
no code implementations • 6 Sep 2019 • Long Yang, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan
To address above problem, we propose a GQ$(\sigma,\lambda)$ that extends tabular Q$(\sigma,\lambda)$ with linear function approximation.
no code implementations • 25 Jun 2019 • Long Yang, Yu Zhang, Gang Zheng, Qian Zheng, Pengfei Li, Jianhang Huang, Jun Wen, Gang Pan
Improving sample efficiency has been a longstanding goal in reinforcement learning.
no code implementations • 25 Jun 2019 • Long Yang, Yu Zhang, Jun Wen, Qian Zheng, Pengfei Li, Gang Pan
In this paper, for reducing the variance, we introduce control variate technique to $\mathtt{Expected}$ $\mathtt{Sarsa}$($\lambda$) and propose a tabular $\mathtt{ES}$($\lambda$)-$\mathtt{CV}$ algorithm.
no code implementations • 8 May 2019 • Pengfei Li, Yu Hua, Pengfei Zuo, Jingnan Jia
Index structures are important for efficient data access, which have been widely used to improve the performance in many in-memory systems.
no code implementations • 14 Jun 2018 • Wenjia Meng, Qian Zheng, Long Yang, Pengfei Li, Gang Pan
In this paper, we propose a general framework to combine DQN and most of the return-based reinforcement learning algorithms, named R-DQN.