MCUNet: Tiny Deep Learning on IoT Devices
- Ji Lin
- Wei-Ming Chen
- et al.
- 2020
- NeurIPS 2020
Conference paper
Publications
1667 results for Machine Learning
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
- Ximeng Sun
- Rameswar Panda
- et al.
- 2020
- NeurIPS 2020
Conference paperA Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
- Haoran Zhu
- Pavankumar Murali
- et al.
- 2020
- NeurIPS 2020
Conference paperAuxiliary Task Reweighting for Minimum-data Learning
- Baifeng Shi
- Judy Hoffman
- 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 paperCogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
- Vijil Chenthamarakshan
- Payel Das
- et al.
- 2020
- NeurIPS 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 paperPrivate Identity Testing for High-Dimensional Distributions
- Clément L. Canonne
- Gautam Kamath
- et al.
- 2020
- NeurIPS 2020
Conference paperMultilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
- Shashanka Ubaru
- Sanjeeb Dash
- et al.
- 2020
- NeurIPS 2020
Conference paperSnapBoost: A Heterogeneous Boosting Machine
- Thomas Parnell
- Andreea Anghel
- et al.
- 2020
- NeurIPS 2020
Conference paper