Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment
- Ben Usman
- Avneesh Sud
- et al.
- 2020
- NeurIPS 2020
Conference paper
Publications
1650 results for Machine Learning
Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance
- Ziv Goldfeld
- Kristjan Greenewald
- et al.
- 2020
- NeurIPS 2020
Conference paperUncertainty-Aware Learning for Zero-Shot Semantic Segmentation
- Ping Hu
- Stan Sclaroff
- et al.
- 2020
- NeurIPS 2020
Conference paperCogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
- Vijil Chenthamarakshan
- Payel Das
- et al.
- 2020
- NeurIPS 2020
Conference paperAuxiliary Task Reweighting for Minimum-data Learning
- Baifeng Shi
- Judy Hoffman
- et al.
- 2020
- NeurIPS 2020
Conference paperActive Structure Learning of Causal DAGs via Directed Clique Trees
- Chandler Squires
- Sara Magliacane
- 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 paperAI Assisted Data Labeling
- Michael Desmond
- Evelyn Duesterwald
- et al.
- 2020
- NeurIPS 2020
Demo paperShared Interest: Human Annotations vs. AI Saliency
- Angie Boggust
- Benjamin Hoover
- et al.
- 2020
- NeurIPS 2020
Demo paperFast and Automatic Visual Label Conflict Resolution
- Narendra Nath Joshi
- A. Sharma
- et al.
- 2020
- NeurIPS 2020
Demo paper