Publications

The Discrete Gaussian for Differential Privacy
- - Clément L. Canonne
  - Gautam Kamath
  - et al.
- 2020
- NeurIPS 2020
Universal Domain Adaptation through Self Supervision
- - Kuniaki Saito
  - Donghyun Kim
  - 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
Inductive Quantum Embedding
- - Santosh Kumar Srivastava
  - Dinesh Khandelwal
  - et al.
- 2020
- NeurIPS 2020
Optimizing Mode Connectivity via Neuron Alignment
- - N. Joseph Tatro
  - Pin-Yu Chen
  - 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
Active Structure Learning of Causal DAGs via Directed Clique Trees
- - Chandler Squires
  - Sara Magliacane
  - et al.
- 2020
- NeurIPS 2020
MCUNet: Tiny Deep Learning on IoT Devices
- - Ji Lin
  - Wei-Ming Chen
  - et al.
- 2020
- NeurIPS 2020
Learning Global Transparent Models consistent with Local Contrastive Explanations
- - Tejaswini Pedapati
  - Avinash Balakrishnan
  - et al.
- 2020
- NeurIPS 2020