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Sometimes we know that a set of variables should add up to a given total. Measurements involving proportions, percentages, probabilities, concentrations are compositional data. These data occur often …
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### Title of the resource
Text to Image Prompt Engineering Intensive
### Resource type
Hosted Resource
### Authors, editors and contributors
Emily Genatowski
### Topics (keywords)
AI, Large Lan…
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Abstract: We present Compositional Attention Networks, a novel fully differentiable neural network architecture, designed to facilitate explicit and expressive reasoning. While many types of neural ne…
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Description:
The goal of this issue is to create a foundation for developing a cybernetic organism or open game using physics-informed syntax. To begin, we need to implement a basic active inference …
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https://papers.nips.cc/paper/4474-learning-to-learn-with-compound-hd-models.pdf
We introduce HD (or “Hierarchical-Deep”) models, a new compositional learning architecture that integrates deep learn…
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I'm finding your code and KernelBiome very useful for modeling with metabarcoding data. I'd like to also incorporate other metadata about the samples in the model, such as sampling site as a category …
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Thanks for your excellent work. I have tried to combine multi personalized concepts for the inference. I saw in your paper that your codes can generate the "a photo of * in the style of @". But when I…
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Similar to the Issue #8 , "Segmentation fault (core dumped)" encountered at a random epoch when using the constituency tree-lstm.
I'm running several trials with the SICK dataset as the command provi…
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https://arxiv.org/pdf/2105.01017.pdf: This paper shows that SOTA results for MIT is AUC=6.6.
However, in your paper you report 5.1 AUC as sota. If it's possible, can you please share the reason for …
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For the moment, the nc_benchmark generator function allows for a nc_first_task option, which is good for pre-training in the class-incremental learning scenario. However, the same kind of option is no…