commit files to HF hub

papers.csv

@@ -3,7 +3,7 @@ Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent
 BiBench: Benchmarking and Analyzing Network Binarization,"Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu",http://arxiv.org/abs/2301.11233,https://github.com/htqin/BiBench,https://huggingface.co/papers/2301.11233,,,,2301.11233,8,1
 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning,"Taoan Huang, Aaron Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner",http://arxiv.org/abs/2302.01578,,https://huggingface.co/papers/2302.01578,,,,2302.01578,5,1
 Optimizing DDPM Sampling with Shortcut Fine-Tuning,"Ying Fan, Kangwook Lee",http://arxiv.org/abs/2301.13362,,https://huggingface.co/papers/2301.13362,,,,2301.13362,2,2
-Evolving Semantic Prototype Improves Generative Zero-Shot Learning,"Shiming Chen, Wenjin Hou, Ziming Hong, Xiaohan Ding, Yibing Song, Xinge You, Tongliang Liu, Kun Zhang",http://arxiv.org/abs/2306.06931,,https://huggingface.co/papers/2306.06931,,,,2306.06931,8,0
+Evolving Semantic Prototype Improves Generative Zero-Shot Learning,"Shiming Chen, Wenjin Hou, Ziming Hong, Xiaohan Ding, Yibing Song, Xinge You, Tongliang Liu, Kun Zhang",http://arxiv.org/abs/2306.06931,,https://huggingface.co/papers/2306.06931,,,,2306.06931,8,1
 Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning,"Yihao Sun, Jiaji Zhang, Chengxing Jia, Haoxin Lin, Junyin Ye, Yang Yu",,,,,,,,,
 CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification,"Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo, Xiao Luo",http://arxiv.org/abs/2306.04979,,https://huggingface.co/papers/2306.04979,,,,2306.04979,8,0
 GFlowNet-EM for Learning Compositional Latent Variable Models,"Edward Hu, Nikolay Malkin, Moksh Jain, Katie Everett, Alexandros Graikos, Yoshua Bengio",http://arxiv.org/abs/2302.06576,,https://huggingface.co/papers/2302.06576,,,,2302.06576,6,1
@@ -1238,7 +1238,7 @@ FAIRER: Fairness as Decision Rationale Alignment,"Li Tianlin, Qing Guo, Aishan L
 Deep Graph Representation Learning and Optimization for Influence Maximization,"Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao",http://arxiv.org/abs/2305.02200,https://github.com/triplej0079/DeepIM,https://huggingface.co/papers/2305.02200,,,,2305.02200,8,1
 Improving Fair Training under Correlation Shifts,"Yuji Roh, Kangwook Lee, Steven Whang, Changho Suh",http://arxiv.org/abs/2302.02323,,https://huggingface.co/papers/2302.02323,,,,2302.02323,4,0
 SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning,"Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu",http://arxiv.org/abs/2305.04501,,https://huggingface.co/papers/2305.04501,,,,2305.04501,5,0
-ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction,"Wang Zhang, Lily Weng, Subhro Das, Alexandre Megretsky, Luca Daniel, Lam Nguyen",http://arxiv.org/abs/2302.05783,,https://huggingface.co/papers/2302.05783,,,,2302.05783,6,1
+ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction,"Wang Zhang, Lily Weng, Subhro Das, Alexandre Megretsky, Luca Daniel, Lam Nguyen",http://arxiv.org/abs/2302.05783,,https://huggingface.co/papers/2302.05783,,,,2302.05783,6,2
 Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting,"Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley",http://arxiv.org/abs/2302.08635,https://github.com/sshirahmad/GCRL,https://huggingface.co/papers/2302.08635,,,,2302.08635,4,1
 Meta Optimal Transport,"Brandon Amos, Giulia Luise, samuel cohen, Ievgen Redko",http://arxiv.org/abs/2206.05262,,https://huggingface.co/papers/2206.05262,,,,2206.05262,4,1
 InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models,"Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Chris De Sa, Volodymyr Kuleshov",http://arxiv.org/abs/2306.08757,,https://huggingface.co/papers/2306.08757,,,,2306.08757,7,0