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### What kind of feature would you like to request?
New analysis tool: A simple analysis tool you have been using and are missing in `sc.tools`?
### Please describe your wishes
I'm currently implem…
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In register allocation, rematerialization is an optimization in which variables with long lifetimes are recomputed at the use point to avoid register pressure. Analogously, in the XLS pipeline schedul…
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Since for now the relaxation method is one of the important solution to submodular optimization and it is easy to do extension comparing with the highly tailored combinatorial algorithms.
btw, it i…
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To-do:
- [ ] Pursue experiments with
- [ ] Adapt the random selection with clipping of score difference
- [ ] Consider top 1900 videos (all videos that are recommendable, i.e. with tourn…
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[Why should I trust you?: Explaining the predictions of any classifier](https://arxiv.org/abs/1602.04938)
Despite widespread adoption, machine learning models re- main mostly black boxes. Understandi…
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The homogeneity of RHNs ease us to learn sparse structures within RHNs. In our recent work of ISS (https://arxiv.org/pdf/1709.05027.pdf), we find that the we can reduce "#Units/Layer" of "Variational …
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Hi,
I was working with two versions of Apricot, 0.5.0 and 0.6.0. I am using the Facility Locations Function, with a precomputed setting, by passing my own matrix. I have two kinds of matrices - on…
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### Subroutines, ideas, foundational material.
- Quantum algorithm for finding the minimum https://arxiv.org/abs/quant-ph/9607014
- Quantum algorithms revisited https://arxiv.org/pdf/quant-ph/97080…
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因为 task-specific data 有限，难蒸馏出好 student model，所以用 mixup 增强数据，teacher 对插值的输入预测，student 学习该预测结果(loss_3，带调节系数超参)，直接学插值输入对应的插值标签(loss_2，带调节系数超参)，学习原始数据(loss_1，无系数)。提供了一些理论证明，在GLUE上做了实验有效。
![image](https…
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## Abstract
- Understanding the reasons behind predictions is, however, quite important in assessing trust, which is fundamental
- if one plans to take action based on a prediction.
- when cho…
hon9g updated
5 years ago