commit files to HF hub

papers.csv

@@ -702,7 +702,7 @@ Toward Efficient Grad-Based Value Estimation,Arsalan Sharifnassab,,,,,,,,,
 Coupled Variational Autoencoder,"Xiaoran Hao, Patrick Shafto, Patrick Shafto",http://arxiv.org/abs/2306.02565,,https://huggingface.co/papers/2306.02565,,,,2306.02565,2,0
 Federated Heavy Hitter Recovery under Linear Sketching,"Adria Gascon, Peter Kairouz, Ziteng Sun, Ananda Suresh",,,,,,,,,
 Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion,"Ashok Cutkosky, Harsh Mehta, Francesco Orabona",http://arxiv.org/abs/2302.03775,,https://huggingface.co/papers/2302.03775,,,,2302.03775,3,1
-Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization,"Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis",http://arxiv.org/abs/2210.01908,https://github.com/Chris210634/metric-learning-using-contextual-similarity,https://huggingface.co/papers/2210.01908,,,,2210.01908,3,0
+Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization,"Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis",http://arxiv.org/abs/2210.01908,https://github.com/Chris210634/metric-learning-using-contextual-similarity,https://huggingface.co/papers/2210.01908,,,,2210.01908,3,1
 User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems,"Marc Finzi, Anudhyan Boral, Leonardo Zepeda-Nunez, Andrew Wilson, Fei Sha",http://arxiv.org/abs/2306.07526,,https://huggingface.co/papers/2306.07526,,,,2306.07526,5,0
 Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?,"Juliusz Ziomek, Haitham Bou Ammar",http://arxiv.org/abs/2301.12844,,https://huggingface.co/papers/2301.12844,,,,2301.12844,2,0
 Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems,"Mohammad Khalafi, Digvijay Boob",http://arxiv.org/abs/2209.04604,,https://huggingface.co/papers/2209.04604,,,,2209.04604,2,0
@@ -715,7 +715,7 @@ Joint Implicit Neural Representations for Global-Scale Species Mapping,"Elijah C
 TGRL: Teacher Guided Reinforcement Learning Algorithm,"Idan Shenfeld, Zhang-Wei Hong, Aviv Tamar, Pulkit Agrawal",,,,,,,,,
 Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts,"Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados",http://arxiv.org/abs/2304.09836,,https://huggingface.co/papers/2304.09836,,,,2304.09836,4,0
 DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning,"Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer Dy",http://arxiv.org/abs/2305.00380,,https://huggingface.co/papers/2305.00380,,,,2305.00380,7,0
-Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling,"Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne",http://arxiv.org/abs/2207.02338,,https://huggingface.co/papers/2207.02338,,,,2207.02338,5,0
+Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling,"Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne",http://arxiv.org/abs/2207.02338,,https://huggingface.co/papers/2207.02338,,,,2207.02338,5,1
 Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models,"Nikolaos Dimitriadis, Pascal Frossard, François Fleuret",http://arxiv.org/abs/2210.09759,,https://huggingface.co/papers/2210.09759,,,,2210.09759,3,1
 Approximate Stein Classes for Truncated Density Estimation,"Daniel J. Williams, Song Liu",http://arxiv.org/abs/2306.00602,,https://huggingface.co/papers/2306.00602,,,,2306.00602,2,1
 Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains,"Buddhika Nettasinghe, Samrat Chatterjee, Ramakrishna Tipireddy, Mahantesh Halappanavar",http://arxiv.org/abs/2210.02271,,https://huggingface.co/papers/2210.02271,,,,2210.02271,4,0