Underrated ML

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Underrated ML

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[[Season 2 - Episode 2]] Please choose which paper you found to more underrated.

When will computer hardware match the human brain? [[Presented by Sara Hooker]]

Could a Neuroscientist Understand a Microprocessor? [[Presented by Julius Adebayo]]

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[[Season 2 - Episode 1]] Please choose which paper you found to more underrated.

A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions [[Sean Hooker]]

Metaphoria: An Algorithmic Companion for Metaphor Creation [[Anna Huang]]

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[[Season 1 - Episode 6]] Please choose which paper you found to more underrated.

The Chemical Basis of Morphogenesis [[Sara Hooker]]

Strongly-Typed Recurrent Neural Networks [[Stephen Merity]]

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[[Season 1 - Episode 5]] Please choose which paper you found to more underrated.

Recognizing Material Properties from Images [[Sean Hooker]]

Linguistic Diversity and Inclusion in the NLP World [[Sebastian Ruder]]

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[[Season 1 - Episode 4]] Please choose which paper you found to more underrated.

Shortcut Learning in Deep Neural Networks (Presented by Sara Hooker)

Deep Energy Estimator Networks (Presented by Kyunghyun Cho)

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[[Season 1 - Episode 3]] Please choose which paper you found to be more underrated.

Learning From Brains How to Regularize Machines (Presented by Sara Hooker)

Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs (Presented by Rosanne Liu)

[[Season 1 - Episode 2]] Please choose which paper you found to be more underrated.

Conference Reviewing Considered Harmful (Presented by Jacob Buckman)

Measuring Abstract Reasoning in Neural Networks (Presented by Sean Hooker)

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