14.5k citations · 48.8k across the 185 of their papers we have counts for
25 papers · 1 filter
Saliency-based Sequential Image Attention with Multiset Prediction
Sean Welleck, Jialin Mao, Kyunghyun Cho +1
Humans process visual scenes selectively and sequentially using attention. Central to models of human visual attention is the saliency map. We propose a hierarchical visual archite…
Breast density classification with deep convolutional neural networks
Nan Wu, Krzysztof J. Geras, Yiqiu Shen +6
Breast density classification is an essential part of breast cancer screening. Although a lot of prior work considered this problem as a task for learning algorithms, to our knowle…
Loss Functions for Multiset Prediction
Sean Welleck, Zixin Yao, Yu Gai +3
We study the problem of multiset prediction. The goal of multiset prediction is to train a predictor that maps an input to a multiset consisting of multiple items. Unlike existing…
Unsupervised Neural Machine Translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre +1
In spite of the recent success of neural machine translation (NMT) in standard benchmarks, the lack of large parallel corpora poses a major practical problem for many language pair…
Emergent Translation in Multi-Agent Communication
Jason Lee, Kyunghyun Cho, Jason Weston +1
While most machine translation systems to date are trained on large parallel corpora, humans learn language in a different way: by being grounded in an environment and interacting…
Graph Convolutional Networks for Classification with a Structured Label Space
Meihao Chen, Zhuoru Lin, Kyunghyun Cho
It is a usual practice to ignore any structural information underlying classes in multi-class classification. In this paper, we propose a graph convolutional network (GCN) augmente…