Publications

81 results at 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
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
- - Hamid Jalalzai
  - Pierre Colombo
  - 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
Learning Global Transparent Models consistent with Local Contrastive Explanations
- - Tejaswini Pedapati
  - Avinash Balakrishnan
  - 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
MCUNet: Tiny Deep Learning on IoT Devices
- - Ji Lin
  - Wei-Ming Chen
  - 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