450 citations
- The University of TokyoJP19 papers
- Kyoto UniversityJP6 papers
- RIKEN Center for Advanced Intelligence ProjectJP5 papers
- National Institute of InformaticsJP4 papers
- RIKENJP3 papers
- Tohoku UniversityJP3 papers
- University of TsukubaJP3 papers
- Johns Hopkins UniversityUS2 papers
- Keio UniversityJP2 papers
- Kobe UniversityJP2 papers
- Massachusetts Institute of TechnologyUS2 papers
- Nara Institute of Science and TechnologyJP2 papers
Showing 2018 · cs.LGShow all
3 papers · 2 filters
cs.LG2018★ 1 cited
BayesGrad: Explaining Predictions of Graph Convolutional Networks
Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu +4
Recent advances in graph convolutional networks have significantly improved the performance of chemical predictions, raising a new research question: "how do we explain the predict…
cs.LG2018★ 37 cited
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Motoki Sato, Jun Suzuki, Hiroyuki Shindo +1
Following great success in the image processing field, the idea of adversarial training has been applied to tasks in the natural language processing (NLP) field. One promising appr…
cs.LG2018★ 52 cited
Variance-based Gradient Compression for Efficient Distributed Deep Learning
Yusuke Tsuzuku, Hiroto Imachi, Takuya Akiba
Due to the substantial computational cost, training state-of-the-art deep neural networks for large-scale datasets often requires distributed training using multiple computation wo…