commit files to HF hub

papers.csv

@@ -1775,7 +1775,7 @@ Truncating Trajectories in Monte Carlo Reinforcement Learning,"Riccardo Poiani,
 The Value of Out-of-Distribution Data,"Ashwin De Silva, Rahul Ramesh, Carey Priebe, Pratik Chaudhari, Joshua Vogelstein",http://arxiv.org/abs/2208.10967,,https://huggingface.co/papers/2208.10967,,,,2208.10967,5,1
 Actor-Critic Alignment for Offline-to-Online Reinforcement Learning,"Zishun Yu, Xinhua Zhang",,,,,,,,,
 Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!,"Avik Pal, Alan Edelman, Christopher Rackauckas",http://arxiv.org/abs/2303.02262,,https://huggingface.co/papers/2303.02262,,,,2303.02262,3,1
-ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval,"Kexun Zhang, Xianjun Yang, William Wang, Lei Li",http://arxiv.org/abs/2302.02285,,https://huggingface.co/papers/2302.02285,,,,2302.02285,4,1
+ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval,"Kexun Zhang, Xianjun Yang, William Wang, Lei Li",http://arxiv.org/abs/2302.02285,,https://huggingface.co/papers/2302.02285,,,,2302.02285,4,2
 The Monge Gap: A Regularizer to Learn All Transport Maps,"Théo Uscidda, Marco Cuturi",http://arxiv.org/abs/2302.04953,,https://huggingface.co/papers/2302.04953,,,,2302.04953,2,0
 AbODE: Ab initio antibody design using conjoined ODEs,"Yogesh Verma, Markus Heinonen, Vikas K Garg",http://arxiv.org/abs/2306.01005,,https://huggingface.co/papers/2306.01005,,,,2306.01005,3,0
 Learning-augmented private algorithms for multiple quantile release,"Mikhail Khodak, Kareem Amin, Travis Dick, Sergei Vassilvitskii",http://arxiv.org/abs/2210.11222,,https://huggingface.co/papers/2210.11222,,,,2210.11222,4,0