Publications

1450 results for Machine Learning

Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
- - Hamid Jalalzai
  - Pierre Colombo
  - et al.
- 2020
- NeurIPS 2020
Training Stronger Baselines for Learning to Optimize
- - Tianlong Chen
  - Weiyi Zhang
  - 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
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment
- - Ben Usman
  - Avneesh Sud
  - 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
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions
- - Matthew Faw
  - Rajat Sen
  - et al.
- 2020
- NeurIPS 2020
The Discrete Gaussian for Differential Privacy
- - Clément L. Canonne
  - Gautam Kamath
  - et al.
- 2020
- NeurIPS 2020