Publications

81 results at NeurIPS 2020

The Discrete Gaussian for Differential Privacy
- - Clément L. Canonne
  - Gautam Kamath
  - 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
SnapBoost: A Heterogeneous Boosting Machine
- - Thomas Parnell
  - Andreea Anghel
  - et al.
- 2020
- NeurIPS 2020
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
- - Ping Hu
  - Stan Sclaroff
  - et al.
- 2020
- NeurIPS 2020
Model Agnostic Multilevel Explanations
- - Karthikeyan Natesan Ramamurthy
  - Bhanukiran Vinzamuri
  - et al.
- 2020
- NeurIPS 2020
Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function
- - Quoc Tran Dinh
  - Deyi Liu
  - et al.
- 2020
- NeurIPS 2020
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
- - Shashanka Ubaru
  - Sanjeeb Dash
  - et al.
- 2020
- NeurIPS 2020
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
- - Chia-Yu Chen
  - Jiamin Ni
  - et al.
- 2020
- NeurIPS 2020
Ultra-Low Precision 4-bit Training of Deep Neural Networks
- - Xiao Sun
  - Naigang Wang
  - et al.
- 2020
- NeurIPS 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
- - Yu Chen
  - Lingfei Wu
  - et al.
- 2020
- NeurIPS 2020