963 citations · 1.3k across the 8 of their papers we have counts for
4 papers · 1 filter
What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures?
Kevin Jarrett, Koray Kvukcuoglu, Karol Gregor +1
(This paper was written in November 2011 and never published. It is posted on arXiv.org in its original form in June 2016). Many recent object recognition systems have proposed usi…
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor, Ivo Danihelka, Alex Graves +2
This paper introduces the Deep Recurrent Attentive Writer (DRAW) neural network architecture for image generation. DRAW networks combine a novel spatial attention mechanism that mi…
Learning Representations by Maximizing Compression
Karol Gregor, Yann LeCun
We give an algorithm that learns a representation of data through compression. The algorithm 1) predicts bits sequentially from those previously seen and 2) has a structure and a n…
Efficient Learning of Sparse Invariant Representations
Karol Gregor, Yann LeCun
We propose a simple and efficient algorithm for learning sparse invariant representations from unlabeled data with fast inference. When trained on short movies sequences, the learn…