697 citations · 2.5k across the 36 of their papers we have counts for
5 papers · 1 filter
Deep Multi-Instance Transfer Learning
Dimitrios Kotzias, Misha Denil, Phil Blunsom +1
We present a new approach for transferring knowledge from groups to individuals that comprise them. We evaluate our method in text, by inferring the ratings of individual sentences…
Deep Fried Convnets
Zichao Yang, Marcin Moczulski, Misha Denil +4
The fully connected layers of a deep convolutional neural network typically contain over 90% of the network parameters, and consume the majority of the memory required to store the…
Extraction of Salient Sentences from Labelled Documents
Misha Denil, Alban Demiraj, Nando de Freitas
We present a hierarchical convolutional document model with an architecture designed to support introspection of the document structure. Using this model, we show how to use visual…
Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network
Misha Denil, Alban Demiraj, Nal Kalchbrenner +2
Capturing the compositional process which maps the meaning of words to that of documents is a central challenge for researchers in Natural Language Processing and Information Retri…
Distributed Parameter Estimation in Probabilistic Graphical Models
Yariv Dror Mizrahi, Misha Denil, Nando de Freitas
This paper presents foundational theoretical results on distributed parameter estimation for undirected probabilistic graphical models. It introduces a general condition on composi…