Publications

ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
- - Chia-Yu Chen
  - Jiamin Ni
  - 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
Finding the Homology of Decision Boundaries with Active Learning
- - Weizhi Li
  - Gautam Dasarathy
  - 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
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
- - Tianlong Chen
  - Jonathan Frankle
  - et al.
- 2020
- NeurIPS 2020
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
- - Hamid Jalalzai
  - Pierre Colombo
  - et al.
- 2020
- NeurIPS 2020
Approximate Cross-Validation for Structured Models
- - Soumya Ghosh
  - William T. Stephenson
  - et al.
- 2020
- NeurIPS 2020
Higher-Order Certification For Randomized Smoothing
- - Jeet Mohapatra; Ching-Yun Ko
  - Tsui-Wei Weng
  - 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
Active Structure Learning of Causal DAGs via Directed Clique Trees
- - Chandler Squires
  - Sara Magliacane
  - et al.
- 2020
- NeurIPS 2020