no code implementations • EACL (LTEDI) 2021 • Olawale Onabola, Zhuang Ma, Xie Yang, Benjamin Akera, Ibraheem Abdulrahman, Jia Xue, Dianbo Liu, Yoshua Bengio
In this work, we present hBERT, where we modify certain layers of the pretrained BERT model with the new Hopfield Layer.
no code implementations • 16 Dec 2024 • Yutong Xie, Yiyao Liu, Zhuang Ma, Lin Shi, Xiyuan Wang, Walter Yuan, Matthew O. Jackson, Qiaozhu Mei
The deployment of large language models (LLMs) in diverse applications requires a thorough understanding of their decision-making strategies and behavioral patterns.
no code implementations • 15 Dec 2024 • Bohan Li, Xin Jin, Jianan Wang, Yukai Shi, Yasheng Sun, XiaoFeng Wang, Zhuang Ma, Baao Xie, Chao Ma, Xiaokang Yang, Wenjun Zeng
Within OccScene, the perception module can be effectively improved with customized and diverse generated scenes, while the perception priors in return enhance the generation performance for mutual benefits.
1 code implementation • 23 May 2024 • Chaokang Jiang, Dalong Du, Jiuming Liu, Siting Zhu, Zhenqiang Liu, Zhuang Ma, Zhujin Liang, Jie zhou
Point Cloud Interpolation confronts challenges from point sparsity, complex spatiotemporal dynamics, and the difficulty of deriving complete 3D point clouds from sparse temporal information.
1 code implementation • CVPR 2024 • Chaokang Jiang, Guangming Wang, Jiuming Liu, Hesheng Wang, Zhuang Ma, Zhenqiang Liu, Zhujin Liang, Yi Shan, Dalong Du
We present a novel approach from the perspective of auto-labelling, aiming to generate a large number of 3D scene flow pseudo labels for real-world LiDAR point clouds.
no code implementations • Energy Res 2024 • Yiling Fan, Zhuang Ma, Wanwei Tang, Jing Liang, and Pengfei Xu
This is the first time that the CPO algorithm has been introduced into the LSTM algorithm for parameter optimization.
2 code implementations • ICCV 2023 • Xiaodong Yang, Zhuang Ma, Zhiyu Ji, Zhe Ren
Monocular depth estimation is an ill-posed problem as the same 2D image can be projected from infinite 3D scenes.
Ranked #3 on
Monocular Depth Estimation
on DDAD
no code implementations • 6 Apr 2021 • Olawale Onabola, Zhuang Ma, Yang Xie, Benjamin Akera, Abdulrahman Ibraheem, Jia Xue, Dianbo Liu, Yoshua Bengio
In this work, we present hBERT, where we modify certain layers of the pretrained BERT model with the new Hopfield Layer.
no code implementations • EMNLP 2018 • Zhuang Ma, Michael Collins
Noise Contrastive Estimation (NCE) is a powerful parameter estimation method for log-linear models, which avoids calculation of the partition function or its derivatives at each training step, a computationally demanding step in many cases.
Ranked #14 on
Question Answering
on WikiQA
no code implementations • 5 May 2017 • Zhuang Ma, Zongming Ma
Latent space models are effective tools for statistical modeling and exploration of network data.
no code implementations • 12 May 2016 • Zhuang Ma, Xiao-Dong Li
Canonical correlation analysis (CCA) is a fundamental statistical tool for exploring the correlation structure between two sets of random variables.
no code implementations • 26 Jun 2015 • Zhuang Ma, Yichao Lu, Dean Foster
In this paper, we tackle the problem of large scale CCA, where classical algorithms, usually requiring computing the product of two huge matrices and huge matrix decomposition, are computationally and storage expensive.