Publications

81 results at NeurIPS 2020

Optimizing Mode Connectivity via Neuron Alignment
- - N. Joseph Tatro
  - Pin-Yu Chen
  - et al.
- 2020
- NeurIPS 2020
Auxiliary Task Reweighting for Minimum-data Learning
- - Baifeng Shi
  - Judy Hoffman
  - 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
Approximate Cross-Validation for Structured Models
- - Soumya Ghosh
  - William T. Stephenson
  - et al.
- 2020
- NeurIPS 2020
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
- - Minh Hoang
  - Trong Nghia Hoang
  - et al.
- 2020
- NeurIPS 2020
Ultra-Low Precision 4-bit Training of Deep Neural Networks
- - Xiao Sun
  - Naigang Wang
  - 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
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
- - Dennis Wei
  - Tian Gao
  - et al.
- 2020
- NeurIPS 2020
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning
- - Han Cai
  - Chuang Gan
  - et al.
- 2020
- NeurIPS 2020
SnapBoost: A Heterogeneous Boosting Machine
- - Thomas Parnell
  - Andreea Anghel
  - et al.
- 2020
- NeurIPS 2020