Pointer Networks · HackerPapers discussions

Pointer Networks — mentioned by cute_boi

Tue, 07 Jul 2026 19:03:23 GMT

No need stupid moving texts. CS231n: Convolutional Neural Networks for Visual Recognition - https://cs231n.github.io/ The Unreasonable Effectiveness of Recurrent Neural Networks - https://karpathy.github.io/2015/05/21/rnn-effectiveness/ Understanding LSTM Networks - https://colah.github.io/posts/2015-08-Understanding-LSTMs/ ImageNet Classification with Deep Convolutional Neural Networks - https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436... Deep Residual Learning for Image Recognition - https://arxiv.org/abs/1512.03385 Multi-Scale Context Aggregation by Dilated Convolutions…

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Pointer Networks — mentioned by gooob

Tue, 07 Jul 2026 18:54:32 GMT

https://colah.github.io/posts/2015-08-Understanding-LSTMs/ https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436... https://papers.nips.cc/paper_files/paper/2012/file/c399862d3... https://arxiv.org/pdf/1512.03385 https://arxiv.org/pdf/1511.07122 https://arxiv.org/pdf/1603.05027 https://arxiv.org/pdf/1409.2329 https://arxiv.org/pdf/1512.02595 https://arxiv.org/pdf/1409.0473 https://arxiv.org/pdf/1506.03134 https://arxiv.org/pdf/1706.03762 https://nlp.seas.harvard.edu/annotated-transformer/ https://arxiv.org/pdf/1410.5401 https://arxiv.org/pdf/1706.01427 https://arxiv.org/pdf/1806.01822…

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Pointer Networks — mentioned by is_true

Sat, 18 May 2024 12:26:29 GMT

a backup just in case https://nlp.seas.harvard.edu/annotated-transformer/ https://scottaaronson.blog/?p=762 https://karpathy.github.io/2015/05/21/rnn-effectiveness/ https://colah.github.io/posts/2015-08-Understanding-LSTMs/ https://arxiv.org/pdf/1409.2329.pdf https://www.cs.toronto.edu/~hinton/absps/colt93.pdf https://arxiv.org/pdf/1506.03134.pdf https://proceedings.neurips.cc/paper_files/paper/2012/file/c... https://arxiv.org/pdf/1511.06391.pdf https://arxiv.org/pdf/1811.06965.pdf https://arxiv.org/pdf/1512.03385.pdf https://arxiv.org/pdf/1511.07122.pdf https://arxiv.org/pdf/1704.01212.pdf…

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Pointer Networks — mentioned by zardo

Thu, 13 Oct 2016 16:51:32 GMT

>Deep learning is still mere perception. It doesn't handle memory or processing, There's more going on than convolutional neural nets. Architectures with memory and attention mechanisms do exist. As examples: https://arxiv.org/abs/1506.03134 https://deepmind.com/blog/differentiable-neural-computers/

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Pointer Networks — mentioned by BenderV

Mon, 23 May 2016 21:37:15 GMT

Well, there is a variety of possible answers here. Giving the direct integer ("1", "23") to a simple deep network won't work. - RNN with LSTM might be a better approach, since it will more based on the value of the ordered bits than their "disposition", and could scale to an arbitrary high number. - @zardo mentioned Pointer Network (https://arxiv.org/abs/1506.03134). It looks to solve this kind of problems but honestly I'm discovering it now. - Give the base 3 and 5 of the input would be the fastest solution. (but since it's kind of hardcoding part of the solution, it's more a trick than a…

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Pointer Networks — mentioned by zardo

Mon, 14 Mar 2016 17:29:07 GMT

http://arxiv.org/abs/1506.03134

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