CuBERT,即Code Understanding BERT,和后面提到的CodeBERT可被归为同一个时期的工作,虽是首个提出Code预训练模型的工作,但和CodeBERT相比,其影响力较小(在写这篇文章的时候CuBERT引用还没过百),具体原因个人认为是它仅对Python语言进行建模(CodeBERT同时对6种编程语言建模),且它的下游任务和CodeBERT相比
Python气象数据处理 | 克里金(Kriging)插值与可视化 编程算法 克里金法(Kriging) 是依据协方差函数对随机过程/随机场进行空间建模和预测(插值)的回归算法。在特定的随机过程,例如固有平稳过程中,克里金法能够给出最优线性无偏估计(Best Linear Unbiased Prediction, BLUP),因此在地统计学中也被称为空间最优无偏估计器...
这也意味着 FIM 和 Next-Token-Prediction 在完成批数据处理后是完全一致的。 We reiterate that we keep the loss on all three sections prefix, middle, and suffix, so FIM training does not cause a decrease in the autoregressive learning signal. Preliminary experiments, although not reported her...
@inproceedings{yang2021transformers, title={Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction}, author={Yang, Guanglei and Tang, Hao and Ding, Mingli and Sebe, Nicu and Ricci, Elisa}, booktitle={ICCV}, year={2021} } ...
Python Copy raw_data = '{"data":[[1,2,3,4,5,6,7,8,9,10],[10,9,8,7,6,5,4,3,2,1]]}' request_header = {} prediction = run(raw_data, request_header) print("Test result: ", prediction) The previous code sets variables raw_data and request_header, calls the run funct...
Python Copy raw_data = '{"data":[[1,2,3,4,5,6,7,8,9,10],[10,9,8,7,6,5,4,3,2,1]]}' request_header = {} prediction = run(raw_data, request_header) print("Test result: ", prediction) The previous code sets variables raw_data and request_header, calls the run funct...
GHNs trained on our DeepNets-1M allow to predict parameters for diverse networks, even if they are very different from those used to train GHNs (e.g. ResNet-50). Parameter prediction by GHNs is performed in a single forward pass and on average takes < 1 second either on GPU or CPU...
To use the association information between different candidate boxes to obtain a better prediction box, the CP-Cluster algorithm adopts a completely different idea from the NMS31 algorithm, and its algorithm steps are shown in Table 2. Table 2 Algorithm steps for CP-Cluster. Full size table...
The remaining variance was accounted for by boundary onset/offset features (0–410 ms; p < 0.001; t = 3.1). Are the phonetic feature representations contained in the neural signal similar to those contained in the auditory input? Fig. 1C shows the result of the same B2B ...
Predictive Inference with Feature Conformal Prediction (Accepted by ICLR 2023) Jiaye Teng*, Chuan Wen*, Dinghuai Zhang*, Yoshua Bengio, Yang Gao, Yang Yuan 1. Installation We use Python 3.7, and other packages can be installed by: pip install -r requirements.txt 2. Run FeactureCP 2.1 On...