most citedLearning to Navigate in Complex Environments

367 citations · 559 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2016367 cited

Learning to Navigate in Complex Environments

Piotr Mirowski, Razvan Pascanu, Fabio Viola +9

Learning to navigate in complex environments with dynamic elements is an important milestone in developing AI agents. In this work we formulate the navigation question as a reinfor…

cs.LG201415 cited

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…

cs.CL201485 cited

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…

cs.CL201490 cited

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…

stat.ML20142 cited

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…