Learning neural-symbolic descriptive planning models via cube-space priors: The voyage home (to STRIPS)
- Masataro Asai
- Christian Muise
- 2021
- IJCAI 2020
Conference paper
Publications
1677 results for Machine Learning
A unified convergence analysis for shuffling-type gradient methods
- Lam Nguyen
- Quoc Tran-Dinh
- et al.
- 2021
- JMLR
PaperPAIRS AutoGeo: An Automated Machine Learning Framework for Massive Geospatial Data
- Wang Zhou
- Levente J. Klein
- et al.
- 2020
- Big Data 2020
Conference paperTemporal Tensor Transformation Network for Multivariate Time Series Prediction
- Yuya Jeremy Ong
- Mu Qiao
- et al.
- 2020
- Big Data 2020
Conference paperFinding the Homology of Decision Boundaries with Active Learning
- Weizhi Li
- Gautam Dasarathy
- et al.
- 2020
- NeurIPS 2020
Conference paperAsymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance
- Ziv Goldfeld
- Kristjan Greenewald
- et al.
- 2020
- NeurIPS 2020
Conference paperThe Lottery Ticket Hypothesis for Pre-trained BERT Networks
- Tianlong Chen
- Jonathan Frankle
- et al.
- 2020
- NeurIPS 2020
Conference paperMCUNet: Tiny Deep Learning on IoT Devices
- Ji Lin
- Wei-Ming Chen
- et al.
- 2020
- NeurIPS 2020
Conference paperCogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
- Vijil Chenthamarakshan
- Payel Das
- et al.
- 2020
- NeurIPS 2020
Conference paperLog-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment
- Ben Usman
- Avneesh Sud
- et al.
- 2020
- NeurIPS 2020
Conference paper