1 code implementation • 8 Aug 2017 • Heng-Tze Cheng, Zakaria Haque, Lichan Hong, Mustafa Ispir, Clemens Mewald, Illia Polosukhin, Georgios Roumpos, D. Sculley, Jamie Smith, David Soergel, Yuan Tang, Philipp Tucker, Martin Wicke, Cassandra Xia, Jianwei Xie
Our focus is on simplifying cutting edge machine learning for practitioners in order to bring such technologies into production.
1 code implementation • 13 Dec 2016 • Yuan Tang
TF. Learn is a high-level Python module for distributed machine learning inside TensorFlow.
BIG-bench Machine Learning Vocal Bursts Intensity Prediction
1 code implementation • 19 Jan 2020 • Yi Wang, Yang Yang, Weiguo Zhu, Yi Wu, Xu Yan, Yongfeng Liu, Yu Wang, Liang Xie, Ziyao Gao, Wenjing Zhu, Xiang Chen, Wei Yan, Mingjie Tang, Yuan Tang
Previous database systems extended their SQL dialect to support ML.
1 code implementation • 3 Jun 2020 • Johnu George, Ce Gao, Richard Liu, Hou Gang Liu, Yuan Tang, Ramdoot Pydipaty, Amit Kumar Saha
In this paper, we introduce Katib: a scalable, cloud-native, and production-ready hyperparameter tuning system that is agnostic of the underlying machine learning framework.
6 code implementations • 13 Aug 2019 • William de Vazelhes, CJ Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet
metric-learn is an open source Python package implementing supervised and weakly-supervised distance metric learning algorithms.
1 code implementation • 12 Mar 2024 • Xiaoda Wang, Yuan Tang, Tengda Guo, Bo Sang, Jingji Wu, Jian Sha, Ke Zhang, Jiang Qian, Mingjie Tang
This variety poses a challenge for end-users in terms of mastering different engine APIs.
1 code implementation • 8 Mar 2018 • Yuan Tang
The autoplotly package provides functionalities to automatically generate interactive visualizations for many popular statistical results supported by ggfortify package with plotly and ggplot2 style.
Computation Applications
1 code implementation • 11 Dec 2016 • Yuan Tang, Wenxuan Li
Local Fisher discriminant analysis is a localized variant of Fisher discriminant analysis and it is popular for supervised dimensionality reduction method.
Applications
1 code implementation • 24 Nov 2022 • Jinfeng Xu, Xianzhi Li, Yuan Tang, Qiao Yu, Yixue Hao, Long Hu, Min Chen
In our work, we present CasFusionNet, a novel cascaded network for point cloud semantic scene completion by dense feature fusion.
1 code implementation • 1 Apr 2024 • Jinfeng Xu, Siyuan Yang, Xianzhi Li, Yuan Tang, Yixue Hao, Long Hu, Min Chen
Existing point cloud semantic segmentation networks cannot identify unknown classes and update their knowledge, due to a closed-set and static perspective of the real world, which would induce the intelligent agent to make bad decisions.
1 code implementation • IEEE Transactions on Multimedia 2023 • Yuan Tang, Xianzhi Li, Jinfeng Xu, Qiao Yu, Long Hu, Yixue Hao, Min Chen
In our work, we present Point-LGMask, a novel method to embed both local and global contexts with multi-ratio masking, which is quite effective for self-supervised feature learning of point clouds but is unfortunately ignored by existing pre-training works.
Ranked #3 on Few-Shot 3D Point Cloud Classification on ModelNet40 5-way (10-shot) (using extra training data)