commit files to HF hub

papers.csv

@@ -386,7 +386,7 @@ Towards Trustworthy Explanation: On Causal Rationalization,"Wenbo Zhang, TONG WU
 Improved Algorithms for White-Box Adversarial Streams,"Ying Feng, David Woodruff",,,,,,,,,
 Towards Understanding Ensemble Distillation in Federated Learning,"Sejun Park, Kihun Hong, Ganguk Hwang",,,,,,,,,
 Does Sparsity Help in Learning Misspecified Linear Bandits?,"Jialin Dong, Lin Yang",http://arxiv.org/abs/2303.16998,,https://huggingface.co/papers/2303.16998,,,,2303.16998,2,0
-On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline,"Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang",http://arxiv.org/abs/2212.05749,,https://huggingface.co/papers/2212.05749,,,,2212.05749,8,0
+On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline,"Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang",http://arxiv.org/abs/2212.05749,,https://huggingface.co/papers/2212.05749,,,,2212.05749,8,1
 PLay: Parametrically Conditioned Layout Generation using Latent Diffusion,"Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li",http://arxiv.org/abs/2301.11529,,https://huggingface.co/papers/2301.11529,,,,2301.11529,4,0
 CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis,"Chaejeong Lee, Jayoung Kim, Noseong Park",http://arxiv.org/abs/2304.12654,,https://huggingface.co/papers/2304.12654,,,,2304.12654,3,0
 Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling,"Xinlu Zhang, Shiyang Li, Zhiyu Chen, Xifeng Yan, Linda Petzold",http://arxiv.org/abs/2210.12156,,https://huggingface.co/papers/2210.12156,,,,2210.12156,5,1
@@ -721,7 +721,7 @@ Approximate Stein Classes for Truncated Density Estimation,"Daniel J. Williams,
 Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains,"Buddhika Nettasinghe, Samrat Chatterjee, Ramakrishna Tipireddy, Mahantesh Halappanavar",http://arxiv.org/abs/2210.02271,,https://huggingface.co/papers/2210.02271,,,,2210.02271,4,0
 Generative Decoding of Visual Stimuli,"Eleni Miliotou, Panagiotis Kyriakis, Jason Hinman, Andrei Irimia, Paul Bogdan",,,,,,,,,
 Training-Free Neural Active Learning with Initialization-Robustness Guarantees,"Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low",http://arxiv.org/abs/2306.04454,,https://huggingface.co/papers/2306.04454,,,,2306.04454,5,0
-Unit Scaling: Out-of-the-Box Low-Precision Training,"Charlie Blake, Charlie Blake, Douglas Orr, Carlo Luschi",http://arxiv.org/abs/2303.11257,,https://huggingface.co/papers/2303.11257,,,,2303.11257,3,1
+Unit Scaling: Out-of-the-Box Low-Precision Training,"Charlie Blake, Charlie Blake, Douglas Orr, Carlo Luschi",http://arxiv.org/abs/2303.11257,,https://huggingface.co/papers/2303.11257,,,,2303.11257,3,2
 NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data,"LIU SONGMING, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu",http://arxiv.org/abs/2305.18694,https://github.com/thu-ml/NUNO,https://huggingface.co/papers/2305.18694,,,,2305.18694,6,0
 Diffusion Models for Offline Black-Box Optimization,"Siddarth Krishnamoorthy, Satvik Mashkaria, Aditya Grover",,,,,,,,,
 The Flan Collection: Designing Data and Methods for Effective Instruction Tuning,"Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc Le, Barret Zoph, Jason Wei, Adam Roberts",http://arxiv.org/abs/2301.13688,https://github.com/google-research/FLAN/tree/main/flan/v2,https://huggingface.co/papers/2301.13688,,,,2301.13688,11,1