Mapping the space of chemical reactions using attention-based neural networks
- Philippe Schwaller
- Daniel Probst
- et al.
- 2021
- Nature Machine Intelligence
Paper
Publications
1671 results for Machine Learning
Learning neural-symbolic descriptive planning models via cube-space priors: The voyage home (to STRIPS)
- Masataro Asai
- Christian Muise
- 2021
- IJCAI 2020
Conference paperToward a neuro-inspired creative decoder
- Payel Das
- Brian Quanz
- et al.
- 2021
- IJCAI 2020
Conference paper“The squawk Bot”*: Joint learning of time series and text data modalities for automated financial information filtering
- Xuan-Hong Dang
- Syed Yousaf Shah
- et al.
- 2021
- IJCAI 2020
Conference paperHierarchical attention based spatial-temporal graph-to-sequence learning for grounded video description
- Kai Shen
- Lingfei Wu
- et al.
- 2021
- IJCAI 2020
Conference paperA unified convergence analysis for shuffling-type gradient methods
- Lam Nguyen
- Quoc Tran-Dinh
- et al.
- 2021
- JMLR
PaperTemporal Tensor Transformation Network for Multivariate Time Series Prediction
- Yuya Jeremy Ong
- Mu Qiao
- et al.
- 2020
- Big Data 2020
Conference paperPAIRS AutoGeo: An Automated Machine Learning Framework for Massive Geospatial Data
- Wang Zhou
- Levente J. Klein
- et al.
- 2020
- Big Data 2020
Conference paperMix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions
- Matthew Faw
- Rajat Sen
- et al.
- 2020
- NeurIPS 2020
Conference paperAuxiliary Task Reweighting for Minimum-data Learning
- Baifeng Shi
- Judy Hoffman
- et al.
- 2020
- NeurIPS 2020
Conference paper