3.7k citations · 11.8k across the 85 of their papers we have counts for
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Simple Baseline for Visual Question Answering
Bolei Zhou, Yuandong Tian, Sainbayar Sukhbaatar +2
We describe a very simple bag-of-words baseline for visual question answering. This baseline concatenates the word features from the question and CNN features from the image to pre…
MazeBase: A Sandbox for Learning from Games
Sainbayar Sukhbaatar, Arthur Szlam, Gabriel Synnaeve +2
This paper introduces MazeBase: an environment for simple 2D games, designed as a sandbox for machine learning approaches to reasoning and planning. Within it, we create 10 simple…
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems
Jesse Dodge, Andreea Gane, Xiang Zhang +5
A long-term goal of machine learning is to build intelligent conversational agents. One recent popular approach is to train end-to-end models on a large amount of real dialog trans…
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily Denton, Soumith Chintala, Arthur Szlam +1
In this paper we introduce a generative parametric model capable of producing high quality samples of natural images. Our approach uses a cascade of convolutional networks within a…
Convolutional networks and learning invariant to homogeneous multiplicative scalings
Mark Tygert, Arthur Szlam, Soumith Chintala +3
The conventional classification schemes -- notably multinomial logistic regression -- used in conjunction with convolutional networks (convnets) are classical in statistics, design…
End-To-End Memory Networks
Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston +1
We introduce a neural network with a recurrent attention model over a possibly large external memory. The architecture is a form of Memory Network (Weston et al., 2015) but unlike…
A mathematical motivation for complex-valued convolutional networks
Joan Bruna, Soumith Chintala, Yann LeCun +3
A complex-valued convolutional network (convnet) implements the repeated application of the following composition of three operations, recursively applying the composition to an in…