End-To-End Memory Networks · HackerPapers discussions

End-To-End Memory Networks — mentioned by iamaaditya

Tue, 05 Apr 2016 21:41:51 GMT

Even though this is "Question Answering", it is trained as a classification model. Thus the model will try to come up with one of the top "1000" answers it has seen during the training. This certainly limits the possibility of answers and sometimes returns very weird answer. It is not for lack of trying that all the top papers in visual question answering end up doing this as a classification task. Results are really poor when it is used as RNN generation, and also extending it more than top 1000 answers does not yield any better results. 87% of the questions in training + validation is…

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End-To-End Memory Networks — mentioned by dave_sullivan

Fri, 18 Sep 2015 14:00:19 GMT

Not to be discouraging, but I think research along these lines http://arxiv.org/abs/1503.08895 stands an exponentially better chance of leading towards what OP is talking about. For anyone interested in "building AI", read that paper and all it's references.

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End-To-End Memory Networks — mentioned by kastnerkyle

Thu, 06 Aug 2015 21:31:02 GMT

The literature is mostly image based, but as other users have said voice, text, and video have also seen substantial gains. It has also been used to great effect for taxi destination prediction (heterogenous information) [1], drug discovery [2], and general operations on graphs [3]. There are also lots of examples beyond classification - structured prediction such as image segmentation [4], predicting depth, surface normals, and pixels from only RGB [5], text to text translation [6], image captioning [7], Turing machines [8], speech synthesis [9], question answering (Q/A) [10][11]…

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End-To-End Memory Networks — HN submission

Wed, 01 Apr 2015 23:30:09 GMT

Weakly supervised memory networks [pdf]

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