- Neural network visualization toolkit for keras
- DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks. VIS, 2017.
- The unreasonable effectiveness of Character-level Language Models (and why RNNs are still cool)
- The Unreasonable Effectiveness of Recurrent Neural Networks
A Learned Representation For Artistic Style. arXiv:1610.07629.
Why does deep and cheap learning work so well?. arXiv:1608.08225.
X Zhang, J Zhao, Y LeCun. Character-level Convolutional Networks for Text Classification. NIPS 2015.
A Deep Learning Approach for Population Estimation from Satellite Imagery. arXiv:1708.09086.
- EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. arXiv:1709.00029.
- QV Le, T Mikolov. Distributed Representations of Sentences and Documents.
- Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. arXiv:1707.02968.
- Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes. arXiv:1706.10239.
- Failures of Gradient-Based Deep Learning. arXiv:1703.07950.
Automated analysis of high‐content microscopy data with deep learning. Molecular Systems Biology, 2017.
- Recurrent Neural Networks for Spatiotemporal Dynamics of Intrinsic Networks from fMRI Data. arXiv:1611.00864.
- Towards end-to-end optimisation of functional image analysis pipelines. arXiv:1610.04079.
- Mapping Between Natural Movie fMRI Responses and Word-Sequence Representations. arXiv:1610.03914.