commit files to HF hub

papers.csv

@@ -137,7 +137,7 @@ Improving Hyperparameter Learning under Approximate Inference in Gaussian Proces
 HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation,"Lu Chen, Siyu Lou, Keyan Zhang, JIN HUANG, Quanshi Zhang",http://arxiv.org/abs/2304.01811,,https://huggingface.co/papers/2304.01811,,,,2304.01811,5,0
 Invariance in Policy Optimisation and Partial Identifiability in Reward Learning,"Joar Skalse, Matthew Farrugia-Roberts, Stuart Russell, Alessandro Abate, Adam Gleave",http://arxiv.org/abs/2203.07475,,https://huggingface.co/papers/2203.07475,,,,2203.07475,5,2
 On the Convergence Rate of Gaussianization with Random Rotations,"Felix Draxler, Lars Kühmichel, Jens Müller, Armand Rousselot, Christoph Schnörr, Ullrich Koethe",,,,,,,,,
-Nonparametric Iterative Machine Teaching,"CHEN ZHANG, Xiaofeng Cao, Weiyang Liu, Ivor Tsang, James Kwok",http://arxiv.org/abs/2306.03007,,https://huggingface.co/papers/2306.03007,,,,2306.03007,5,1
+Nonparametric Iterative Machine Teaching,"CHEN ZHANG, Xiaofeng Cao, Weiyang Liu, Ivor Tsang, James Kwok",http://arxiv.org/abs/2306.03007,,https://huggingface.co/papers/2306.03007,,,,2306.03007,5,2
 Boosting Graph Contrastive Learning via Graph Contrastive Saliency,"Chunyu Wei, Yu Wang, Bing Bai, Kai Ni, David Brady, LU FANG",,,,,,,,,
 Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels,"Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl",,,,,,,,,
 Improving Expert Predictions with Conformal Prediction,"Eleni Straitouri, Luke Lequn Wang, Nastaran Okati, Manuel Gomez-Rodriguez",,,,,,,,,
@@ -450,7 +450,7 @@ Bandits with Knapsacks: Advice on Time-Varying Demands,"Lixing Lyu, Wang Chi Che
 Emergent Agentic Transformer from Chain of Hindsight Experience,"Hao Liu, Pieter Abbeel",http://arxiv.org/abs/2305.16554,,https://huggingface.co/papers/2305.16554,,,,2305.16554,2,1
 Graph Neural Networks with Learnable and Optimal Polynomial Bases,"Yuhe Guo, Zhewei Wei",http://arxiv.org/abs/2302.12432,,https://huggingface.co/papers/2302.12432,,,,2302.12432,2,0
 Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning,"Ya-Wei Eileen Lin, Ronald Coifman, Gal Mishne, Ronen Talmon",http://arxiv.org/abs/2305.18962,,https://huggingface.co/papers/2305.18962,,,,2305.18962,4,0
-Optimizing Hyperparameters with Conformal Quantile Regression,"David Salinas, Jacek Golebiowski, Aaron Klein, Matthias Seeger, Cedric Archambeau",http://arxiv.org/abs/2305.03623,,https://huggingface.co/papers/2305.03623,,,,2305.03623,5,0
+Optimizing Hyperparameters with Conformal Quantile Regression,"David Salinas, Jacek Golebiowski, Aaron Klein, Matthias Seeger, Cedric Archambeau",http://arxiv.org/abs/2305.03623,,https://huggingface.co/papers/2305.03623,,,,2305.03623,5,1
 Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards,"Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang",http://arxiv.org/abs/2306.01121,,https://huggingface.co/papers/2306.01121,,,,2306.01121,4,0
 SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient,"Max Ryabinin, Tim Dettmers, Michael Diskin, Alexander Borzunov",http://arxiv.org/abs/2301.11913,,https://huggingface.co/papers/2301.11913,,,,2301.11913,4,1
 Improved Active Multi-Task Representation Learning via Lasso,"Yiping Wang, Yifang Chen, Kevin Jamieson, Simon Du",http://arxiv.org/abs/2306.02556,,https://huggingface.co/papers/2306.02556,,,,2306.02556,4,0
@@ -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,,,,2302.05783,6,0
+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
 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