1 code implementation • 9 Sep 2022 • Peng Yin, Shiqi Zhao, Ivan Cisneros, Abulikemu Abuduweili, Guoquan Huang, Micheal Milford, Changliu Liu, Howie Choset, Sebastian Scherer
A summary of this work and our datasets and evaluation API is publicly available to the robotics community at: https://github. com/MetaSLAM/GPRS.
Loop Closure Detection
Simultaneous Localization and Mapping
no code implementations • 30 Aug 2022 • Peng Yin, Abulikemu Abuduweili, Shiqi Zhao, Changliu Liu, Sebastian Scherer
We present BioSLAM, a lifelong SLAM framework for learning various new appearances incrementally and maintaining accurate place recognition for previously visited areas.
1 code implementation • 23 Mar 2022 • Abulikemu Abuduweili, Changliu Liu
Deep reinforcement learning has the potential to address various scientific problems.
no code implementations • 29 Sep 2021 • Abulikemu Abuduweili
Deep reinforcement learning has the potential to address various scientific problems.
no code implementations • NeurIPS 2021 • Yaqing Wang, Abulikemu Abuduweili, Quanming Yao, Dejing Dou
the target property, such that the limited labels can be effectively propagated among similar molecules.
6 code implementations • 12 Apr 2021 • Ali Hassani, Steven Walton, Nikhil Shah, Abulikemu Abuduweili, Jiachen Li, Humphrey Shi
Our models are flexible in terms of model size, and can have as little as 0. 28M parameters while achieving competitive results.
Ranked #1 on
Image Classification
on Flowers-102
(using extra training data)
Fine-Grained Image Classification
Superpixel Image Classification
1 code implementation • CVPR 2021 • Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou
To better exploit the value of both pre-trained weights and unlabeled target examples, we introduce adaptive consistency regularization that consists of two complementary components: Adaptive Knowledge Consistency (AKC) on the examples between the source and target model, and Adaptive Representation Consistency (ARC) on the target model between labeled and unlabeled examples.
1 code implementation • L4DC 2020 • Abulikemu Abuduweili, Changliu Liu
The challenge motivates the adoption of online adaptation algorithms to update prediction models in real-time to improve the prediction performance.
1 code implementation • 11 Sep 2019 • Abulikemu Abuduweili, Siyan Li, Changliu Liu
The effectiveness and flexibility of the proposed method has been validated in experiments.
Robotics
1 code implementation • 30 Jul 2019 • Abulikemu Abuduweili, Xin Wu, Xingchen Tao
Thanks to advanced regularization strategies and ensemble learning, we got top 7/336 places in the final leaderboard.
1 code implementation • ACL 2019 • Wenhuan Zeng, Abulikemu Abuduweili, Lei LI, Pengcheng Yang
Comments on social media are very diverse, in terms of content, style and vocabulary, which make generating comments much more challenging than other existing natural language generation~(NLG) tasks.