Large Associative Memory Problem in Neurobiology and Machine Learning · HackerPapers discussions

Large Associative Memory Problem in Neurobiology and Machine Learning — mentioned by ArtWomb

Sat, 01 May 2021 21:43:23 GMT

Trending as John Hopfield scheduled to present his "biologically plausible" response to the Modern Hopfield Network at ICLR next week: Large Associative Memory Problem in Neurobiology and Machine Learning https://arxiv.org/abs/2008.06996 MHN seem ideal for prediction problems based purely on data, such as chemical reactions and drug discovery: Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction https://arxiv.org/abs/2104.03279

Paper and discussion history. A mention is not an endorsement.

Large Associative Memory Problem in Neurobiology and Machine Learning — mentioned by whymauri

Sun, 06 Dec 2020 19:15:44 GMT

>As far as I'm aware, attention does not even attempt biological plausibility, nor was it in any way inspired by biology. It may not have been the intention, but associative memory is the one of the only mechanisms that computational neuroscientists can agree on broadly. There's been recent work on energy-based models that suggest biologically plausible methods adjacent to attention. [0] [0] https://arxiv.org/abs/2008.06996

Paper and discussion history. A mention is not an endorsement.

Large Associative Memory Problem in Neurobiology and Machine Learning — HN submission

Sat, 22 Aug 2020 15:31:36 GMT

Large Associative Memory Problem in Neurobiology and Machine Learning

1 point; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Large Associative Memory Problem in Neurobiology and Machine Learning — HN submission

Thu, 20 Aug 2020 05:16:42 GMT

Large Associative Memory Problem in Neurobiology and Machine Learning

1 point; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.