commit files to HF hub

papers.csv

@@ -474,7 +474,7 @@ A Model-free Closeness-of-influence Test for Features in Supervised Learning,"Mo
 What Can Be Learnt With Wide Convolutional Neural Networks?,"Francesco Cagnetta, Alessandro Favero, Matthieu Wyart",http://arxiv.org/abs/2208.01003,,https://huggingface.co/papers/2208.01003,,,,2208.01003,3,0
 Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity,"Eduard Gorbunov, Adrien Taylor, Samuel Horváth, Gauthier Gidel",http://arxiv.org/abs/2210.13831,,https://huggingface.co/papers/2210.13831,,,,2210.13831,4,1
 Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees,"Anastasiia Koloskova, Hadrien Hendrikx, Sebastian Stich",http://arxiv.org/abs/2305.01588,,https://huggingface.co/papers/2305.01588,,,,2305.01588,3,0
-Bag of Tricks for Training Data Extraction from Language Models,"Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng YAN",http://arxiv.org/abs/2302.04460,https://github.com/weichen-yu/LM-Extraction,https://huggingface.co/papers/2302.04460,,,,2302.04460,8,2
+Bag of Tricks for Training Data Extraction from Language Models,"Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng YAN",http://arxiv.org/abs/2302.04460,https://github.com/weichen-yu/LM-Extraction,https://huggingface.co/papers/2302.04460,,,,2302.04460,8,4
 Quantum 3D Graph Learning with Applications to Molecule Embedding,"Ge Yan, Huaijin Wu, Junchi Yan",,,,,,,,,
 Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network,"Yadi Cao, Menglei Chai, Minchen Li, Chenfanfu Jiang",,,,,,,,,
 Phase-aware Adversarial Defense for Improving Adversarial Robustness,"Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, Tongliang Liu",,,,,,,,,
@@ -517,7 +517,7 @@ State and parameter learning with PARIS particle Gibbs,"Gabriel Cardoso, Yazid J
 An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning,"Jaesik Yoon, Yi-Fu Wu, Heechul Bae, Sungjin Ahn",http://arxiv.org/abs/2302.04419,,https://huggingface.co/papers/2302.04419,,,,2302.04419,4,0
 Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based Feedback,"Junwen Yang, Yifan Feng",,,,,,,,,
 The Edge of Orthogonality: A Simple View of What Makes BYOL Tick,"Pierre Richemond, Allison Tam, Yunhao Tang, Florian Strub, Bilal Piot, Feilx Hill",http://arxiv.org/abs/2302.04817,,https://huggingface.co/papers/2302.04817,,,,2302.04817,6,0
-Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows,"Chao Du, Tianbo Li, Tianyu Pang, Shuicheng YAN, Min Lin",http://arxiv.org/abs/2305.02164,,https://huggingface.co/papers/2305.02164,,,,2305.02164,5,2
+Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows,"Chao Du, Tianbo Li, Tianyu Pang, Shuicheng YAN, Min Lin",http://arxiv.org/abs/2305.02164,,https://huggingface.co/papers/2305.02164,,,,2305.02164,5,3
 Geometric Clifford Algebra Networks,"David Ruhe, Jayesh K. Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter",http://arxiv.org/abs/2302.06594,,https://huggingface.co/papers/2302.06594,,,,2302.06594,5,1
 Federated Linear Contextual Bandits with User-level Differential Privacy,"Ruiquan Huang, Huanyu Zhang, Meisam Hejazinia, Luca Melis, Milan Shen, Jing Yang",http://arxiv.org/abs/2306.05275,,https://huggingface.co/papers/2306.05275,,,,2306.05275,6,0
 ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs,"Ted Moskovitz, Brendan O'Donoghue, Vivek Veeriah, Sebastian Flennerhag, Satinder Singh, Tom Zahavy",http://arxiv.org/abs/2302.01275,,https://huggingface.co/papers/2302.01275,,,,2302.01275,6,0
@@ -912,7 +912,7 @@ Simple Disentanglement of Style and Content in Visual Representations,"Lilian Ng
 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",,,,,,,,,
-The Hessian perspective into the Nature of Convolutional Neural Networks,"Sidak Pal Singh, Thomas Hofmann, Bernhard Schölkopf",http://arxiv.org/abs/2305.09088,,https://huggingface.co/papers/2305.09088,,,,2305.09088,3,0
+The Hessian perspective into the Nature of Convolutional Neural Networks,"Sidak Pal Singh, Thomas Hofmann, Bernhard Schölkopf",http://arxiv.org/abs/2305.09088,,https://huggingface.co/papers/2305.09088,,,,2305.09088,3,1
 MultiresNet: Sequence Modeling with Multiresolution Convolutional Memory,"Jiaxin Shi, Ke Alexander Wang, Emily Fox",,,,,,,,,
 Unsupervised Out-of-Distribution Detection with Diffusion Inpainting,"Zhenzhen Liu, Jin Zhou, Yufan Wang, Kilian Weinberger",http://arxiv.org/abs/2302.10326,,https://huggingface.co/papers/2302.10326,,,,2302.10326,4,2
 Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations,"Yongyi Yang, Jacob Steinhardt, Wei Hu",,,,,,,,,
@@ -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,,,,2305.17235,6,1
-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,,,,2304.01373,13,5
+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,,,,2304.01373,13,6
 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,,,,2302.00618,6,0
 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
@@ -1704,7 +1704,7 @@ Deep Anomaly Detection under Labeling Budget Constraints,"Aodong Li, Chen Qiu, P
 Transformed Distribution Matching for Missing Value Imputation,"He Zhao, Ke Sun, Amir Dezfouli, Edwin V Bonilla",http://arxiv.org/abs/2302.10363,,https://huggingface.co/papers/2302.10363,,,,2302.10363,4,0
 Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?,"Ruisi Cai, Zhenyu Zhang, Zhangyang “Atlas” Wang",http://arxiv.org/abs/2302.12480,,https://huggingface.co/papers/2302.12480,,,,2302.12480,3,0
 Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models,"Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel",,,,,,,,,
-Better Diffusion Models Further Improve Adversarial Training,"Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng YAN",http://arxiv.org/abs/2302.04638,https://github.com/wzekai99/DM-Improves-AT,https://huggingface.co/papers/2302.04638,,,,2302.04638,6,1
+Better Diffusion Models Further Improve Adversarial Training,"Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng YAN",http://arxiv.org/abs/2302.04638,https://github.com/wzekai99/DM-Improves-AT,https://huggingface.co/papers/2302.04638,,,,2302.04638,6,2
 On the Expressive Power of Geometric Graph Neural Networks,"Chaitanya Joshi, Cristian Bodnar, Simon Mathis, Taco Cohen, Pietro Lió",http://arxiv.org/abs/2301.09308,https://github.com/chaitjo/geometric-gnn-dojo,https://huggingface.co/papers/2301.09308,,,,2301.09308,5,0
 Randomized Schur Complement Views for Graph Contrastive Learning,Vignesh Kothapalli,http://arxiv.org/abs/2306.04004,,https://huggingface.co/papers/2306.04004,,,,2306.04004,1,1
 Path Neural Networks: Expressive and Accurate Graph Neural Networks,"Gaspard Michel, Giannis Nikolentzos, Johannes Lutzeyer, Michalis Vazirgiannis",http://arxiv.org/abs/2306.05955,,https://huggingface.co/papers/2306.05955,,,,2306.05955,4,1