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What is an appropriate size for a latent space of (variational) autoencoders and how it varies with the features of the images?

Qingyi Wang
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1 answer
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Training loss decreases very fast after few epochs

Edoardo Guerriero
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Why is the greedy heuristic admissible and consistent for food at corners problem, but not for food anywhere problem?

Nova
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2 answers
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Given embedding vector A and vector B, how to find top k embedding vectors such that they are similar to vector A and dissimilar to vector B

CommunityBot
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0 answers
12 views

How do Transformer decoders handle arbitrary length input?

Dylan Larrabee
  • 1
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0 answers
9 views

How does Supervised learning models handle time-varying data

L.Adham
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2 answers
245 views

How do sine and cosine transforms help in extracting frequencies in time series forecasting models?

CommunityBot
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2 votes
2 answers
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Are batches useful for REINFORCE without strong episode cutoffs?

Taw
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1 answer
16 views

How can I use larger input images when using a pre-trained CNN without resizing?

James Ashford
  • 301
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0 answers
37 views
+100

Survey on non-machine learning object detection algorithms

UserX
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1 answer
197 views

What is the difference between Mean Teacher and Knowledge Distillation?

CommunityBot
  • 1
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0 answers
8 views

How to remove boilerplate (or extract main content) from web pages?

nesquick
  • 11
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1 answer
103 views

Why would the reward of A3C with LSTM suddenly drop off after many episodes?

CommunityBot
  • 1
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0 answers
31 views

Why is the embedding of a task using Task2Vec not depend on the model?

Charlie Parker
  • 241
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