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What would be a good cost function based on both saliency-maps and labels?

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modified 4 hours ago

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How to train a neural network with a non-differentiable linear program in the loss?

NoumenalNetwork

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asked 5 hours ago

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Can you make Q&A language model stay on topic?

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modified 7 hours ago

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Python GraphRag retrieval: Is using the embedded user's question when querying the data from graph good or bad?

Kt Student

101

asked 9 hours ago

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Kernels on a trained CNN seem random

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modified 13 hours ago

1 vote

1 answer

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How does Horn–Schunck method for Optical Flow solve the aperture problem?

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modified 14 hours ago

3 votes

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What is asymmetric relaxation backpropagation?

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modified 18 hours ago

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Why would someone want to simulate emotional desicion-making within an AI?

Jt Money

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answered 19 hours ago

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why aren't my Training and validation losses do not reduce when fine-tuning ViTPose from huggingface

Soham Bhaumik

101

asked yesterday

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Synthetic to real image conversion for Pose Estimation

Sannan Abbasi

1

asked yesterday

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MATLAB implementation of Manifold-PBO algorithm producing different Monte Carlo simulation convergence results than paper

fazilatun Nisha

11

modified yesterday

2 votes

1 answer

55 views

Is there a better way to do this type of optimization?

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modified yesterday

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1 answer

95 views

Does the policy search work if there is no state to state dependency through actions?

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modified 2 days ago

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Confusion over taking gradients in Variational Autoencoders (VAE)

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modified 2 days ago

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What would be a good cost function based on both saliency-maps and labels?

How to train a neural network with a non-differentiable linear program in the loss?

Can you make Q&A language model stay on topic?

Python GraphRag retrieval: Is using the embedded user's question when querying the data from graph good or bad?

Kernels on a trained CNN seem random

How does Horn–Schunck method for Optical Flow solve the aperture problem?

What is asymmetric relaxation backpropagation?

Why would someone want to simulate emotional desicion-making within an AI?

why aren't my Training and validation losses do not reduce when fine-tuning ViTPose from huggingface

Synthetic to real image conversion for Pose Estimation

MATLAB implementation of Manifold-PBO algorithm producing different Monte Carlo simulation convergence results than paper

Is there a better way to do this type of optimization?

Does the policy search work if there is no state to state dependency through actions?

Confusion over taking gradients in Variational Autoencoders (VAE)

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