commit files to HF hub

papers.csv

@@ -120,7 +120,7 @@ Improved Online Conformal Prediction via Strongly Adaptive Online Learning,"Aady
 A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening,"Yifan Chen, Rentian Yao, Yun Yang, Jie Chen",http://arxiv.org/abs/2306.08854,https://github.com/ychen-stat-ml/GW-Graph-Coarsening,https://huggingface.co/papers/2306.08854,,,,2306.08854,4,0
 Approximately Optimal Core Shapes for Tensor Decompositions,"Mehrdad Ghadiri, Matthew Fahrbach, Thomas Fu, Vahab Mirrokni",http://arxiv.org/abs/2302.03886,,https://huggingface.co/papers/2302.03886,,,,2302.03886,4,1
 Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting,"Hilaf Hasson, Danielle Robinson, Yuyang Wang, Gaurav Gupta, Youngsuk Park",http://arxiv.org/abs/2305.15786,,https://huggingface.co/papers/2305.15786,,,,2305.15786,5,1
-Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy,"xiyao wang, Wichayaporn Wongkamjan, Ruonan Jia, Furong Huang",http://arxiv.org/abs/2207.12141,,https://huggingface.co/papers/2207.12141,,,,2207.12141,3,1
+Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy,"xiyao wang, Wichayaporn Wongkamjan, Ruonan Jia, Furong Huang",http://arxiv.org/abs/2207.12141,,https://huggingface.co/papers/2207.12141,,,,2207.12141,3,2
 Towards Deep Attention in Graph Neural Networks: Problems and Remedies,"Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin",http://arxiv.org/abs/2306.02376,https://github.com/syleeheal/AERO-GNN,https://huggingface.co/papers/2306.02376,,,,2306.02376,4,1
 SAAL: Sharpness-Aware Active Learning,"Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, IL CHUL MOON",,,,,,,,,
 Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks,"Shibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan, Mike Kirby, Shandian Zhe",http://arxiv.org/abs/2210.12669,,https://huggingface.co/papers/2210.12669,,,,2210.12669,4,0
@@ -1000,7 +1000,7 @@ Towards Reliable Neural Specifications,"Chuqin Geng, Van Nham Le, Xiaojie Xu, Zh
 Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes,"Louis Chi-Chun Tiao, Vincent Dutordoir, Victor Picheny",http://arxiv.org/abs/2304.14034,,https://huggingface.co/papers/2304.14034,,,,2304.14034,3,0
 Provably Learning Object-Centric Representations,"Jack Brady, Roland Zimmermann, Yash Sharma, Bernhard Schölkopf, Julius von Kügelgen, Wieland Brendel",http://arxiv.org/abs/2305.14229,,https://huggingface.co/papers/2305.14229,,,,2305.14229,6,0
 Equivariant Architectures for Learning in Deep Weight Spaces,"Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron",http://arxiv.org/abs/2301.12780,,https://huggingface.co/papers/2301.12780,,,,2301.12780,6,1
-Difference of submodular minimization via DC programming,"Marwa El Halabi, George Orfanides, Tim Hoheisel",http://arxiv.org/abs/2305.11046,,https://huggingface.co/papers/2305.11046,,,,2305.11046,3,0
+Difference of submodular minimization via DC programming,"Marwa El Halabi, George Orfanides, Tim Hoheisel",http://arxiv.org/abs/2305.11046,,https://huggingface.co/papers/2305.11046,,,,2305.11046,3,1
 Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference,"Kyurae Kim, Kaiwen Wu, Jisu Oh, Jacob Gardner",http://arxiv.org/abs/2303.10472,,https://huggingface.co/papers/2303.10472,,,,2303.10472,4,1
 Pre-training for Speech Translation: CTC Meets Optimal Transport,"Phuong-Hang Le, Hongyu Gong, Changhan Wang, Juan Pino, Benjamin Lecouteux, Didier Schwab",http://arxiv.org/abs/2301.11716,https://github.com/formiel/fairseq,https://huggingface.co/papers/2301.11716,,,,2301.11716,6,1
 StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis,"Axel Sauer, Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila",,,,,,,,,