1 code implementation • 27 Feb 2024 • Yuge Zhang, Qiyang Jiang, Xingyu Han, Nan Chen, Yuqing Yang, Kan Ren
In this paper, we introduce DSEval -- a novel evaluation paradigm, as well as a series of innovative benchmarks tailored for assessing the performance of these agents throughout the entire data science lifecycle.
1 code implementation • 28 Apr 2023 • Lei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, Yuqing Yang
In contrast, though human engineers have the incredible ability to understand tasks and reason about solutions, their experience and knowledge are often sparse and difficult to utilize by quantitative approaches.
no code implementations • 18 Apr 2023 • Yang Liu, Shen Yan, Yuge Zhang, Kan Ren, Quanlu Zhang, Zebin Ren, Deng Cai, Mi Zhang
Vision Transformers have shown great performance in single tasks such as classification and segmentation.
no code implementations • 12 Oct 2022 • Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
A good state representation is crucial to solving complicated reinforcement learning (RL) challenges.
no code implementations • CVPR 2022 • Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
Thanks to HyperFD, each local task (client) is able to effectively leverage the learning "experience" of previous tasks without uploading raw images to the platform; meanwhile, the meta-feature extractor is continuously learned to better trade off the bias and variance.
no code implementations • 29 Sep 2021 • Tairan He, Yuge Zhang, Kan Ren, Che Wang, Weinan Zhang, Dongsheng Li, Yuqing Yang
A good state representation is crucial to reinforcement learning (RL) while an ideal representation is hard to learn only with signals from the RL objective.
no code implementations • 30 Aug 2021 • Bo Li, Xinyang Jiang, Donglin Bai, Yuge Zhang, Ningxin Zheng, Xuanyi Dong, Lu Liu, Yuqing Yang, Dongsheng Li
The energy consumption of deep learning models is increasing at a breathtaking rate, which raises concerns due to potential negative effects on carbon neutrality in the context of global warming and climate change.
1 code implementation • 6 Aug 2021 • Yuge Zhang, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Chenqian Yan, Xiaotian Gao, Yuqing Yang
One of the key challenges in Neural Architecture Search (NAS) is to efficiently rank the performances of architectures.
no code implementations • 16 Oct 2020 • Yuge Zhang, Quanlu Zhang, Yaming Yang
Weight sharing, as an approach to speed up architecture performance estimation has received wide attention.
1 code implementation • 6 Jan 2020 • Yuge Zhang, Zejun Lin, Junyang Jiang, Quanlu Zhang, Yujing Wang, Hui Xue, Chen Zhang, Yaming Yang
With the success of deep neural networks, Neural Architecture Search (NAS) as a way of automatic model design has attracted wide attention.