commit files to HF hub

papers.csv

@@ -908,7 +908,7 @@ Learning Belief Representations for Partially Observable Deep RL,"Andrew Wang, A
 Hierarchical Learning in Hyperbolic Space: Revisit and Beyond,"Menglin Yang, Min Zhou, Rex Ying, yankai Chen, Irwin King",,,,,,,,,
 Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modularized Learning,"Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Cheng Wan, Yonggan Fu, Yongan Zhang, Yingyan (Celine) Lin",,,,,,,,,
 Towards Understanding the Role of Attention in Prompt-tuning,"Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis",,,,,,,,,
-Simple Disentanglement of Style and Content in Visual Representations,"Lilian Ngweta, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin",http://arxiv.org/abs/2302.09795,,https://huggingface.co/papers/2302.09795,,,,2302.09795,5,2
+Simple Disentanglement of Style and Content in Visual Representations,"Lilian Ngweta, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin",http://arxiv.org/abs/2302.09795,,https://huggingface.co/papers/2302.09795,,,,2302.09795,5,3
 On Regularization and Inference with Label Constraints,"Kaifu Wang, Hangfeng He, Tin Nguyen, Piyush Kumar, Dan Roth",,,,,,,,,
 Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis,"Yongho Shin, Changyeol Lee, Gukryeol Lee, Hyung-Chan An",http://arxiv.org/abs/2302.06832,,https://huggingface.co/papers/2302.06832,,,,2302.06832,4,0
 Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks,"Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas Guibas",,,,,,,,,
@@ -1586,7 +1586,7 @@ Beyond Reward: Offline Preference-guided Policy Optimization,"Yachen Kang, Diyua
 Solving Linear Program with Fast Online Learning Algorithms,"Wenzhi Gao, Dongdong Ge, Chunlin Sun, Yinyu Ye",,,,,,,,,
 Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model,"Young-Geun Choi, Gi-Soo Kim, Choi Yunseo, Wooseong Cho, Myunghee Cho Paik, Min-hwan Oh",,,,,,,,,
 Poisoning Language Models During Instruction Tuning,"Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein",http://arxiv.org/abs/2305.00944,,https://huggingface.co/papers/2305.00944,,,,2305.00944,4,0
-Automatically Auditing Large Language Models via Discrete Optimization,"Erik Jones, Anca Dragan, Aditi Raghunathan, Jacob Steinhardt",http://arxiv.org/abs/2303.04381,,https://huggingface.co/papers/2303.04381,,,,2303.04381,4,0
+Automatically Auditing Large Language Models via Discrete Optimization,"Erik Jones, Anca Dragan, Aditi Raghunathan, Jacob Steinhardt",http://arxiv.org/abs/2303.04381,,https://huggingface.co/papers/2303.04381,,,,2303.04381,4,1
 Data Structures for Density Estimation,"Anders Aamand, Alexandr Andoni, Justin Chen, Piotr Indyk, Shyam Narayanan, Sandeep Silwal",,,,,,,,,
 Provably Invariant Learning without Domain Information,"Xiaoyu Tan, Yong LIN, Shengyu Zhu, Chao Qu, Xihe Qiu, Xu Yinghui, Peng Cui, Yuan Qi",,,,,,,,,
 Online Platt Scaling with Calibeating,"Chirag Gupta, Aaditya Ramdas",http://arxiv.org/abs/2305.00070,,https://huggingface.co/papers/2305.00070,,,,2305.00070,2,0
@@ -1810,7 +1810,7 @@ Generative Adversarial Symmetry Discovery,"Jianke Yang, Robin Walters, Nima Dehm
 On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances,"Aritra Guha, Nhat Ho, XuanLong Nguyen",http://arxiv.org/abs/2301.11496,,https://huggingface.co/papers/2301.11496,,,,2301.11496,3,0
 Repository-Level Prompt Generation for Large Language Models of Code,"Disha Shrivastava, Hugo Larochelle, Daniel Tarlow",http://arxiv.org/abs/2206.12839,https://github.com/shrivastavadisha/repo_level_prompt_generation,https://huggingface.co/papers/2206.12839,,,,2206.12839,3,1
 Offline Learning in Markov Games with General Function Approximation,"Yuheng Zhang, Yu Bai, Nan Jiang",http://arxiv.org/abs/2302.02571,,https://huggingface.co/papers/2302.02571,,,,2302.02571,3,1
-Fairness in Matching under Uncertainty,"Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova",http://arxiv.org/abs/2302.03810,,https://huggingface.co/papers/2302.03810,,,,2302.03810,4,0
+Fairness in Matching under Uncertainty,"Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova",http://arxiv.org/abs/2302.03810,,https://huggingface.co/papers/2302.03810,,,,2302.03810,4,1
 Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis,"Hu Sun, Ward Manchester, Meng Jin, Yang Liu, Yang Chen",http://arxiv.org/abs/2301.11203,,https://huggingface.co/papers/2301.11203,,,,2301.11203,5,0
 A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints,"Ming Shi, Yingbin LIANG, Ness Shroff",http://arxiv.org/abs/2302.04375,,https://huggingface.co/papers/2302.04375,,,,2302.04375,3,0
 How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy,"Raphaël Olivier, Bhiksha Raj",http://arxiv.org/abs/2207.04129,,https://huggingface.co/papers/2207.04129,,,,2207.04129,2,1