GraceCat123

11 ms·

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Curious About DALL·E3: How Does It Seamlessly Integrate Text into Images?
1 points by GraceCat123 3y ago|0 comments
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by GraceCat123 3y ago
Really useful information! Thanks!
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by GraceCat123 3y ago
Yes, that's very true. Success for one robot means success for a whole bunch of robots. However, success for one Olympic athlete does not mean everyone can achieve the same level. That's the main difference.
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by GraceCat123 3y ago
Totally agree with this! However, it's common for research papers to use exaggerated language to emphasize their breakthroughs and accomplishments. :)
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by GraceCat123 3y ago
That's really impressive! Are there any limitations or ways to further improve this work? Are the samples shown on the homepage selectively chosen to highlight better performance?
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by GraceCat123 3y ago
In Machine Learning conference papers, a common approach is to model relationships between variables using Graph Neural Networks (GNNs). Using GNNs is a powerful and flexible way to go. Maybe you can give it a try!
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by GraceCat123 3y ago
These insights are really awesome! It reminds me of the common aphorism in Statistics: 'All models are wrong, but some are useful.'These insights are really like a wake-up call, thank you!
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by GraceCat123 3y ago
This example is super classic! XD
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by GraceCat123 3y ago
Great comments! I've learned a lot from them. I'm just getting started with algorithmic trading and time series modeling, so I appreciate your insights.
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by GraceCat123 3y ago
Can we employ stochastic processes like the Poisson process to represent irregular data points? Are there any existing models for this?
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by GraceCat123 3y ago
Are there any good US competitors recommend?