TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning
- Han Cai
- Chuang Gan
- et al.
- 2020
- NeurIPS 2020
Conference paper
Publications
1677 results for Machine Learning
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
- Yonggan Fu
- Haoran You
- et al.
- 2020
- NeurIPS 2020
Conference paperPrivate Identity Testing for High-Dimensional Distributions
- Clément L. Canonne
- Gautam Kamath
- et al.
- 2020
- NeurIPS 2020
Conference paperDecentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis
- Gang Wang
- Songtao Lu
- et al.
- 2020
- NeurIPS 2020
Conference paperCausal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
- Amin Jaber
- Murat Kocaoglu
- et al.
- 2020
- NeurIPS 2020
Conference paperMultilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
- Shashanka Ubaru
- Sanjeeb Dash
- et al.
- 2020
- NeurIPS 2020
Conference paperTraining Stronger Baselines for Learning to Optimize
- Tianlong Chen
- Weiyi Zhang
- et al.
- 2020
- NeurIPS 2020
Conference paperThe Discrete Gaussian for Differential Privacy
- Clément L. Canonne
- Gautam Kamath
- et al.
- 2020
- NeurIPS 2020
Conference paperHybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function
- Quoc Tran Dinh
- Deyi Liu
- et al.
- 2020
- NeurIPS 2020
Conference paperA Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
- Haoran Zhu
- Pavankumar Murali
- et al.
- 2020
- NeurIPS 2020
Conference paper