Publications

81 results at NeurIPS 2020

Entropic Causal Inference: Identifiability and Finite Sample Results Spencer Compton
- - Spencer Compton
  - Murat Kocaoglu
  - et al.
- 2020
- NeurIPS 2020
Ultra-Low Precision 4-bit Training of Deep Neural Networks
- - Xiao Sun
  - Naigang Wang
  - et al.
- 2020
- NeurIPS 2020
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations
- - Joel Dapello
  - Tiago Marques
  - 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
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
- - Haoran Zhu
  - Pavankumar Murali
  - et al.
- 2020
- NeurIPS 2020
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning
- - Han Cai
  - Chuang Gan
  - 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
Training Stronger Baselines for Learning to Optimize
- - Tianlong Chen
  - Weiyi Zhang
  - et al.
- 2020
- NeurIPS 2020
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
- - Vijil Chenthamarakshan
  - Payel Das
  - et al.
- 2020
- NeurIPS 2020