The Discrete Gaussian for Differential Privacy
- Clément L. Canonne
- Gautam Kamath
- et al.
- 2020
- NeurIPS 2020
Conference paper
Publications
81 results at NeurIPS 2020
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
- Dennis Wei
- Tian Gao
- et al.
- 2020
- NeurIPS 2020
Conference paperLearning Global Transparent Models consistent with Local Contrastive Explanations
- Tejaswini Pedapati
- Avinash Balakrishnan
- et al.
- 2020
- NeurIPS 2020
Conference paperMCUNet: Tiny Deep Learning on IoT Devices
- Ji Lin
- Wei-Ming Chen
- et al.
- 2020
- NeurIPS 2020
Conference paperImpossibility Results for Grammar-Compressed Linear Algebra
- Amir Abboud
- Arturs Backurs
- et al.
- 2020
- NeurIPS 2020
Conference paperSnapBoost: A Heterogeneous Boosting Machine
- Thomas Parnell
- Andreea Anghel
- et al.
- 2020
- NeurIPS 2020
Conference paperUncertainty-Aware Learning for Zero-Shot Semantic Segmentation
- Ping Hu
- Stan Sclaroff
- et al.
- 2020
- NeurIPS 2020
Conference paperxLP: Explainable Link Prediction Demo
- Balaji Ganesan
- Srinivas Parkala
- et al.
- 2020
- NeurIPS 2020
Demo paperIBM Federated Learning Community Edition: An Interactive Demonstration
- Laura Wynter
- 2020
- NeurIPS 2020
Demo paperFast and Automatic Visual Label Conflict Resolution
- Narendra Nath Joshi
- A. Sharma
- et al.
- 2020
- NeurIPS 2020
Demo paper