commit files to HF hub

papers.csv

@@ -24,7 +24,7 @@ A Nearly-Optimal Bound for Fast Regression with $\ell_\infty$ Guarantee,"Zhao So
 On the Optimality of Misspecified Kernel Ridge Regression,"Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin",http://arxiv.org/abs/2305.07241,,https://huggingface.co/papers/2305.07241,,,,2305.07241,4,0
 Robust Perception through Equivariance,"Chengzhi Mao, Lingyu Zhang, Abhishek Joshi, Junfeng Yang, Hao Wang, Carl Vondrick",http://arxiv.org/abs/2212.06079,,https://huggingface.co/papers/2212.06079,,,,2212.06079,6,1
 Causal Strategic Classification: A Tale of Two Shifts,"Guy Horowitz, Nir Rosenfeld",http://arxiv.org/abs/2302.06280,,https://huggingface.co/papers/2302.06280,,,,2302.06280,2,0
-Bit Allocation using Optimization,"Tongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang",http://arxiv.org/abs/2209.09422,https://github.com/tongdaxu/Bit-Allocation-Using-Optimization,https://huggingface.co/papers/2209.09422,,,,2209.09422,13,0
+Bit Allocation using Optimization,"Tongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang",http://arxiv.org/abs/2209.09422,https://github.com/tongdaxu/Bit-Allocation-Using-Optimization,https://huggingface.co/papers/2209.09422,,,,2209.09422,13,1
 Estimating Possible Causal Effects with Latent Variables via Adjustment,"Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou",,,,,,,,,
 Contrast with Reconstruct:  Contrastive 3D Representation Learning Guided by Generative Pretraining,"Zekun Qi, Runpei Dong, Guofan Fan, Zheng Ge, Xiangyu Zhang, Kaisheng Ma, Li Yi",,,,,,,,,
 Model-Free Robust Average-Reward Reinforcement Learning,"Yue Wang, Alvaro Velasquez, George Atia, Ashley Prater-Bennette, Shaofeng Zou",http://arxiv.org/abs/2305.10504,,https://huggingface.co/papers/2305.10504,,,,2305.10504,5,0
@@ -357,7 +357,7 @@ Deep Regression Unlearning,"Ayush Tarun, Vikram Chundawat, Murari Mandal, Mohan
 DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models ,"Liangbin Xie, Xintao Wang, Xiangyu Chen, Gen Li, Ying Shan, Jiantao Zhou, Chao Dong",,,,,,,,,
 B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding,"Miruna Oprescu, Jacob Dorn, Marah Ghoummaid, Andrew Jesson, Nathan Kallus, Uri Shalit",,,,,,,,,
 How to address monotonicity for model risk management?,"Dangxing Chen, Weicheng Ye",http://arxiv.org/abs/2305.00799,,https://huggingface.co/papers/2305.00799,,,,2305.00799,2,0
-Learning Deep Time-index Models for Time Series Forecasting,"Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi",http://arxiv.org/abs/2207.06046,https://github.com/salesforce/DeepTime,https://huggingface.co/papers/2207.06046,,,,2207.06046,5,1
+Learning Deep Time-index Models for Time Series Forecasting,"Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi",http://arxiv.org/abs/2207.06046,https://github.com/salesforce/DeepTime,https://huggingface.co/papers/2207.06046,,,,2207.06046,5,2
 Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning,"gang Ding, Wanpeng Zhang, Junpeng Yue, XJ Wang, Tiejun Huang, Zongqing Lu",http://arxiv.org/abs/2210.13942,,https://huggingface.co/papers/2210.13942,,,,2210.13942,6,0
 Eventual Discounting Temporal Logic Counterfactual Experience Replay,"Cameron Voloshin, Abhinav Verma, Yisong Yue",http://arxiv.org/abs/2303.02135,,https://huggingface.co/papers/2303.02135,,,,2303.02135,3,0
 Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints,"Jiayang Li, Jing Yu, Boyi Liu, Yu Nie, Zhaoran Wang",http://arxiv.org/abs/2302.09734,,https://huggingface.co/papers/2302.09734,,,,2302.09734,5,0
@@ -1097,7 +1097,7 @@ LegendreTron: Uprising Proper Multiclass Loss Learning,"Kevin H. Lam, Christian
 R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents,"Daniel D. Johnson, Daniel Tarlow, Christian Walder",,,,,,,,,
 High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors,"Shivam Gupta, Jasper Lee, Eric Price",http://arxiv.org/abs/2302.02497,,https://huggingface.co/papers/2302.02497,,,,2302.02497,3,0
 COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models,"Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan",http://arxiv.org/abs/2305.17235,,https://huggingface.co/papers/2305.17235,,,,2305.17235,6,2
-Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling,"Stella Biderman, Hailey Schoelkopf, Quentin Anthony, Herbie Bradley, Kyle O'Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, USVSN Sai Prashanth, Edward Raff, Aviya Skowron, Lintang Sutawika, Oskar van der Wal",http://arxiv.org/abs/2304.01373,https://github.com/EleutherAI/pythia,https://huggingface.co/papers/2304.01373,,,,2304.01373,13,8
+Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling,"Stella Biderman, Hailey Schoelkopf, Quentin Anthony, Herbie Bradley, Kyle O'Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, USVSN Sai Prashanth, Edward Raff, Aviya Skowron, Lintang Sutawika, Oskar van der Wal",http://arxiv.org/abs/2304.01373,https://github.com/EleutherAI/pythia,https://huggingface.co/papers/2304.01373,,,,2304.01373,13,9
 HyperTuning:  Toward Adapting Large Language Models without Back-propagation,"Jason Phang, Yi Mao, Pengcheng He, Weizhu Chen",,,,,,,,,
 Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models,"Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen",http://arxiv.org/abs/2302.00618,,https://huggingface.co/papers/2302.00618,,,,2302.00618,6,1
 Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise,"Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen",http://arxiv.org/abs/2212.11685,https://github.com/microsoft/ProphetNet/tree/master/GENIE,https://huggingface.co/papers/2212.11685,,,,2212.11685,8,0