1931 Selecting Top-K Data Science Models by Example Dataset Mengying Wang, Sheng Guan, Hanchao Ma, Yiyang Bian, Haolai Che, Yinghui Wu, Abhishek Daundkar and Alp Sehirlioglu 1944 Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning Weili Shi, Xueying Yang, Xu...
of our model, extensive experiments on three datasets show that our model outperforms state-of-the-art baselines (for example, 3.4% improvement in prediction and 15.8% improvement in explanation for TripAdvisor). 2. STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecyc...
For example, to run ml10m on the biased test setting, run: python edge.py --dataset bias_ml10m --alpha 0.8 --beta 0.2 --tau 0.2 --lmbda 0.4 The configuration of each dataset can be found in run.sh. You can simply execute ./run.sh. Acknowledgement This code is implemented based ...
The code is built with BasicTS, you can easily install the requirements by (take Python 3.11 + PyTorch 2.3.1 + CUDA 12.1 as an example): #Install Pythonconda create -n BasicTS python=3.11 conda activate BasicTS#Install PyTorchpip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3...
oftenappearsinmanyRSSchannelswithinashortperiod. Forexample,afteranewaffairabout“BarackObama”oc- curs,worldwidenewschannelswillrapidlyreportthisnews. Nonetheless,weneverknowwhatandwhenObama’snews willoccuragaininthefuture.Itisunclearthatsomekinds ofnewsmayhavedefiniteorperiodicreports,butothers maybeoccasio...
After building the container, we should be able to run the evaluation loop in your code in the same way we run the example script in this repository (i.e. follow the instructions in this repo to make sure you use submission.py properly). Please make sure to state in your README any ...
In this paper, we show it is possible to design a two-tower model that emphasizes both information interactions and inference efficiency. The proposed model, IntTower (short for Interaction enhanced Two-Tower), consists of Light-SE, FE-Block and CIR modules. Specifically, lightweight Light-SE ...
Finally, note that in our example, we run the tests on Amazon AWS and use/home/ubuntu/soft/as the installation directory. Hence, the location of GIZA++ is/home/ubuntu/soft/giza-pp. This may need to be replaced with a path to GIZA++ on your computer/server. ...
The code is built with BasicTS, you can easily install the requirements by (take Python 3.11 + PyTorch 2.3.1 + CUDA 12.1 as an example): #Install Pythonconda create -n BasicTS python=3.11 conda activate BasicTS#Install PyTorchpip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3...