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Dear authors:
Thank you for your great work advancing the frontier of language model training.
[Learning with a Wasserstein Loss (arxiv)](https://arxiv.org/pdf/1506.05439.pdf)
[Learning with a Wa…
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Your contributing doc link in the readme is broken :) So I'm making a suggestion here instead of as a pull request; but you might be interested in the PAIR team's work (pair.withgoogle.com and https:…
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Hello, thank you for your great work. I wonder when the code will release
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有关生成式遥感基础模型,以下有两个相关的project,可以合并进来
https://github.com/RubenGres/Seg2Sat
Espinosa M, Crowley E J. Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps[J]. (NeurIPS) 2023 Works…
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I started quantizing an LLM with a slightly older version of your library. It took a while to calculate 8k context hessians, so when it finally finished the library I used was already outdated. I get …
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https://datawhalechina.github.io/easy-rl/#/chapter1/chapter1
Description
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Hi, thanks for providing such a meaningful survey project. Could you please help to add the following paper:
Paper name: VideoComposer: Compositional Video Synthesis with Motion Controllability (Ne…
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In your Excellent work Re-Evaluating LiDAR Scene Flow for Autonomous Driving, we find that you have recurrented SLIM successfully. However, during the training process, I encountered a problem with in…
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Hi Eliza,
I took a close look at your code, and found there maybe something wrong in val_loss function of your 0-1 knapsack experiments.
https://github.com/Elizabethxyhu/NeurIPS_Two_Stage_Predic…