commit files to HF hub

papers.csv

@@ -1304,7 +1304,7 @@ Provably and Practically Efficient Neural Contextual Bandits,Sudeep Salgia,http:
 How Does Information Bottleneck Help Deep Learning?,"Kenji Kawaguchi, Zhun Deng, Xu Ji, Jiaoyang Huang",http://arxiv.org/abs/2305.18887,https://github.com/xu-ji/information-bottleneck,https://huggingface.co/papers/2305.18887,,,,2305.18887,4,0
 Why Is Public Pretraining Necessary for Private Model Training?,"Arun Ganesh, Mahdi Haghifam, Milad Nasresfahani, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Guha Thakurta, Lun Wang",http://arxiv.org/abs/2302.09483,,https://huggingface.co/papers/2302.09483,,,,2302.09483,8,0
 Learning Instance-Specific Augmentations by Capturing Local Invariances,"Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee-Whye Teh, Adam Foster, Hyunjik Kim",http://arxiv.org/abs/2206.00051,,https://huggingface.co/papers/2206.00051,,,,2206.00051,7,0
-On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation,"Maohao Shen, Yuheng Bu, Gregory Wornell",http://arxiv.org/abs/2202.00796,,https://huggingface.co/papers/2202.00796,,,,2202.00796,3,0
+On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation,"Maohao Shen, Yuheng Bu, Gregory Wornell",http://arxiv.org/abs/2202.00796,,https://huggingface.co/papers/2202.00796,,,,2202.00796,3,1
 NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning,"Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He",,,,,,,,,
 FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning,"Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu",http://arxiv.org/abs/2209.15315,https://github.com/SongtaoLiu0823/FusionRetro,https://huggingface.co/papers/2209.15315,,,,2209.15315,9,0
 Is Overfitting Necessary for Implicit Video Representation? ,"HEE MIN CHOI, Hyoa Kang, Dokwan Oh",,,,,,,,,