Publications

81 results at NeurIPS 2020

Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment
- - Ben Usman
  - Avneesh Sud
  - et al.
- 2020
- NeurIPS 2020
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
- - Nian Si
  - Jose Blanchet
  - et al.
- 2020
- NeurIPS 2020
Auxiliary Task Reweighting for Minimum-data Learning
- - Baifeng Shi
  - Judy Hoffman
  - et al.
- 2020
- NeurIPS 2020
Private Identity Testing for High-Dimensional Distributions
- - Clément L. Canonne
  - Gautam Kamath
  - 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
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions
- - Matthew Faw
  - Rajat Sen
  - et al.
- 2020
- NeurIPS 2020
Fast and Automatic Visual Label Conflict Resolution
- - Narendra Nath Joshi
  - A. Sharma
  - et al.
- 2020
- NeurIPS 2020
AI Assisted Data Labeling
- - Michael Desmond
  - Evelyn Duesterwald
  - et al.
- 2020
- NeurIPS 2020
Shared Interest: Human Annotations vs. AI Saliency
- - Angie Boggust
  - Benjamin Hoover
  - et al.
- 2020
- NeurIPS 2020