CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
- Vijil Chenthamarakshan
- Payel Das
- et al.
- 2020
- NeurIPS 2020
Conference paper
Publications
1614 results for Machine Learning
Finding the Homology of Decision Boundaries with Active Learning
- Weizhi Li
- Gautam Dasarathy
- et al.
- 2020
- NeurIPS 2020
Conference paperMCUNet: Tiny Deep Learning on IoT Devices
- Ji Lin
- Wei-Ming Chen
- et al.
- 2020
- NeurIPS 2020
Conference paperPrivate Identity Testing for High-Dimensional Distributions
- Clément L. Canonne
- Gautam Kamath
- et al.
- 2020
- NeurIPS 2020
Conference paperTraining Stronger Baselines for Learning to Optimize
- Tianlong Chen
- Weiyi Zhang
- et al.
- 2020
- NeurIPS 2020
Conference paperInductive Quantum Embedding
- Santosh Kumar Srivastava
- Dinesh Khandelwal
- et al.
- 2020
- NeurIPS 2020
Conference paperSnapBoost: A Heterogeneous Boosting Machine
- Thomas Parnell
- Andreea Anghel
- et al.
- 2020
- NeurIPS 2020
Conference paperThe Discrete Gaussian for Differential Privacy
- Clément L. Canonne
- Gautam Kamath
- et al.
- 2020
- NeurIPS 2020
Conference paperHigher-Order Certification For Randomized Smoothing
- Jeet Mohapatra; Ching-Yun Ko
- Tsui-Wei Weng
- et al.
- 2020
- NeurIPS 2020
Conference paperMix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions
- Matthew Faw
- Rajat Sen
- et al.
- 2020
- NeurIPS 2020
Conference paper