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Is it possible to reduce thickness of line during training & it is possible during training convert to smooth vector
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**Describe the bug (__required__)**
In our cluster, there are 8 hosts, and each host has 54 partitions, as the replica factor is 3, each host should have 18 leaders on average.
However, af…
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I am able to train the model successfully but my problem is my dataset is quite unbalanced and has 30+ classes out of which 1 class is quite dominating and some classes are quite rare.I want to know w…
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Post questions here for this week's exemplary readings:
2. W. Guo, A. Caliskan. 2020. [“Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like…
lkcao updated
6 months ago
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This was originally https://github.com/CCPPETMR/SIRF/issues/214. See there for more info.
When you run `OSMAPOSL`, STIR will check that subsets are balanced (in terms of #views only of course, not …
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While MoE training typically uses a fixed capacity to distribute tokens evenly across all experts, my understanding is that inference involves activating experts based on predicted relevance via a sof…
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MWE:
Seems like the documentation is incorrect here and the samplers are not sklearn API compatible.
Also implementing
```python
from multi_imbalance.resampling.soup import SOUP
soup = SO…
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I was thinking of using DIPS-Plus for training a classifier for protein-protein interaction (I confess I have little experience in ML, any advice welcome).
The database describes the pairs based on t…
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Sorry to bother you again.
1.Are semantic segmentation task and edge detection task independent of each other? Or do they have mutual influence?
My own thoughts:
In auto_weight_bce loss, the valu…
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