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boring-guy.sh
| | iclr-blogposts.github.io
5.2 parsecs away

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| | 'The Primacy Bias in Deep Reinforcement Learning' demonstrates how the first experiences of a deep learning model can cause catastrophic memorization and how this can be prevented. In this post we describe primacy bias, summarize the authors' key findings, and present a simple environment to experiment with primacy bias.
| | cognition.ai
3.5 parsecs away

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| | We explore reinforcement learning in a multi-turn setting, using intermediate feedback from the environment, and masking model thoughts to avoid exploding context over multiple turns.
| | www.mlpowered.com
2.5 parsecs away

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| | Blog posts and other information
| | wtfleming.github.io
17.8 parsecs away

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| [AI summary] This article demonstrates how to achieve 98.6% accuracy in binary image classification of cats and dogs using Keras and transfer learning with the VGG16 model.