Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
- Ping Hu
- Stan Sclaroff
- et al.
- 2020
- NeurIPS 2020
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SnapBoost: A Heterogeneous Boosting Machine
- Thomas Parnell
- Andreea Anghel
- et al.
- 2020
- NeurIPS 2020
Impossibility Results for Grammar-Compressed Linear Algebra
- Amir Abboud
- Arturs Backurs
- et al.
- 2020
- NeurIPS 2020
MCUNet: Tiny Deep Learning on IoT Devices
- Ji Lin
- Wei-Ming Chen
- et al.
- 2020
- NeurIPS 2020
Learning Global Transparent Models consistent with Local Contrastive Explanations
- Tejaswini Pedapati
- Avinash Balakrishnan
- et al.
- 2020
- 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
The Discrete Gaussian for Differential Privacy
- Clément L. Canonne
- Gautam Kamath
- et al.
- 2020
- NeurIPS 2020
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions
- Matthew Faw
- Rajat Sen
- et al.
- 2020
- NeurIPS 2020
Approximate Cross-Validation for Structured Models
- Soumya Ghosh
- William T. Stephenson
- et al.
- 2020
- NeurIPS 2020
Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes
- Zaiwei Chen
- Siva Theja Maguluri
- et al.
- 2020
- NeurIPS 2020