Publications

81 results at 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
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
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning
- - Han Cai
  - Chuang Gan
  - et al.
- 2020
- NeurIPS 2020
Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance
- - Ziv Goldfeld
  - Kristjan Greenewald
  - et al.
- 2020
- NeurIPS 2020
Finding second-order stationary points efficiently in smooth nonconvex linearly constrained optimization problems
- - Songtao Lu
  - Meisam Razaviyayn
  - et al.
- 2020
- NeurIPS 2020
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment
- - Ben Usman
  - Avneesh Sud
  - et al.
- 2020
- NeurIPS 2020
Shared Interest: Human Annotations vs. AI Saliency
- - Angie Boggust
  - Benjamin Hoover
  - et al.
- 2020
- NeurIPS 2020
IBM Federated Learning Community Edition: An Interactive Demonstration
- - Laura Wynter
- 2020
- NeurIPS 2020
xLP: Explainable Link Prediction Demo
- - Balaji Ganesan
  - Srinivas Parkala
  - et al.
- 2020
- NeurIPS 2020