代码、演示视频和网站在https://metadriverse.github.io/scenarionet/ DynaDojo: An Extensible Platform for Benchmarking Sample Efficiency in Dynamical System Identification Logan Bhamidipaty · Tommy Bruzzese · Rami Ratl Mrad · Caryn Tran · Maxinder S. Kanwal(斯坦福、UC伯克利、US西北大学) 标题有...
代码、演示视频和网站在https://metadriverse.github.io/scenarionet/ DynaDojo: An Extensible Platform for Benchmarking Sample Efficiency in Dynamical System Identification Logan Bhamidipaty · Tommy Bruzzese · Rami Ratl Mrad · Caryn Tran · Maxinder S. Kanwal(斯坦福、UC伯克利、US西北大学) 标题有...
Benchmark Datasets Organic anomalies.GADBench中的数据集只包含在现实场景中自然出现的异常,这与以前使用合成异常评估GAD的研究不同。这些早期的工作通常将人工节点属性和结构注入到像Cora这样的普通图中,导致相对容易识别的异常,并且与不同于现实世界的异常明显不同。 Various domains.GADBench中的数据集跨越了多个领域...
Recommender Forest for Efficient Retrieval【高效检索的推荐系统森林】 Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems【Tenrec:推荐系统的大规模多用途基准数据集】 APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction【APG:点击率预测的自适应参数生成网络】 因...
| [MiMoTable: A Multi-scale Spreadsheet Benchmark with Meta Operations for Table Reasoning](https://arxiv.org/abs/2412.11711) | COLING 2024 | 2024-12-16 | TQA,T2T,Table manipulation, Data analysis | 1,719 (spreadsheet, question, answer) triplets from 428 different spreadsheets | Multiple d...
trainer.py fix label leakage issue, rerun the experiments Feb 28, 2023 utils.py init Mar 8, 2022 Repository files navigation README MIT license Benchmark ScalableGraphLearning This is an authors' implementation of "A Comprehensive Study on Large Scale Graph Training: Benchmarking and Rethinking" ...
此外,我们还提出了第一个 benchmark,用于研究多模态指令跟随能力。本文是视觉指令微调的初步工作,主要聚焦于现实生活中的任务。有关 LLaVA 在学术基准上的更多定量结果,请参考通过视觉指令微调所改进的基准 [32]。我们希望我们的工作能够激发未来在构建更强大的多模态模型方面的研究。
Li链接：https://neurips.cc/virtual/2023/poster/73674arXiv：OpenSTL: A Comprehensive Benchmark of...
☃️ ColdRec is a comprehensive open-source toolkit and benchmark for cold-start recommendation. In coldrec, models follow a unified pipeline, the datasets follow a unified division, and tasks include cold user/item recommendation, warm user/item recommendation, and overall user/item recommendati...
Benchmark ScalableGraphLearning This is an authors' implementation of "A Comprehensive Study on Large Scale Graph Training: Benchmarking and Rethinking" in Pytorch. Authors: Keyu Duan, Zirui Liu, Wenqing Zheng, Peihao Wang, Kaixiong Zhou, Tianlong Chen, Zhangyang Wang, Xia Hu. Introduction Bag...