933 citations · 3k across the 27 of their papers we have counts for
4 papers · 1 filter
Learning Longer Memory in Recurrent Neural Networks
Tomas Mikolov, Armand Joulin, Sumit Chopra +2
Recurrent neural network is a powerful model that learns temporal patterns in sequential data. For a long time, it was believed that recurrent networks are difficult to train using…
Video (language) modeling: a baseline for generative models of natural videos
MarcAurelio Ranzato, Arthur Szlam, Joan Bruna +3
We propose a strong baseline model for unsupervised feature learning using video data. By learning to predict missing frames or extrapolate future frames from an input video sequen…
Memory Networks
Jason Weston, Sumit Chopra, Antoine Bordes
We describe a new class of learning models called memory networks. Memory networks reason with inference components combined with a long-term memory component; they learn how to us…
Question Answering with Subgraph Embeddings
Antoine Bordes, Sumit Chopra, Jason Weston
This paper presents a system which learns to answer questions on a broad range of topics from a knowledge base using few hand-crafted features. Our model learns low-dimensional emb…