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The Exponential-Gamma model is for continuous-contractual modeling of time-to-event scenarios; examples include the amount of time a customer is exposed to an ad campaign until conversion, and the amo…
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### 🚀 The feature, motivation and pitch
I recently came across the paper [A Survey on Oversmoothing in Graph Neural Networks](https://arxiv.org/abs/2303.10993) and thougt that having a ready-to-use…
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Hi,Your methodology aligns closely with my research goals, and I am very eager to delve deeper into your approach. To this end, I would like to kindly request if you could make the implementation code…
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The [paper](https://arxiv.org/pdf/2305.11854.pdf) says
> We also collect 347K high-quality
demonstrations using our trained models, 38 times larger than prior work, and
make them available to promo…
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Thank you for your great work. I'm a researched in medical image registration, and would like to ask if you can provide the GPU implementation of corrField, called "MST" in the original paper.
I've…
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您好,非常出色的工作。在查看您源代码的时候,在`models_mae_spectral.py`中,我并没有看到关于`Spectral-to-Spectral`的 LOSS 是如何实现的,仅看到了 loss1+loss3,应该是关于Token-to-Token的损失,并且看到一个未使用的计算光谱角的`calculate_metrics_per_pixel`函数,但是并没有在LOSS中看到使用,想请教…
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Dear NUS HPC AI Lab,
I would like to use your implementation of LAMB optimizer in my research project, but I noticed a difference between what is indicated in algorithm 2 of the original paper _Large…
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In the published paper on FunSearch, there is a mention of using pre-trained large language models (LLMs) like Codey (based on the PaLM2 model family) and a reference to StarCoder, an open-source LLM,…
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### What you would like to be added?
Inspired by this research paper [Vidur: A Large-Scale Simulation Framework For LLM Inference](https://proceedings.mlsys.org/paper_files/paper/2024/file/b74a8de47d…
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In train.py of the Pix2Pix research paper implementation on line 34, the code should be
```opt_disc.zero_grad()```
The current one also seems to work, but I have a feeling that this correction wo…
vmpyr updated
4 months ago