mechanism
Shengqiong Wu1 Hao Fei
In this work, we investigate the task of text-to-image (T2I) synthesis under the abstract-to-intricate setting, i.e., generating intricate visual content from simple
Technology:
Technology:
Country:
- North America > United States > New York > New York County > New York City (0.04)
- Europe > Russia (0.04)
- Europe > Netherlands > North Holland > Amsterdam (0.04)
- (2 more...)
Technology:
Country:
- North America > United States > New York > New York County > New York City (0.04)
- Europe > Russia > Northwestern Federal District > Leningrad Oblast > Saint Petersburg (0.04)
- Europe > Netherlands > North Holland > Amsterdam (0.04)
- (2 more...)
Technology:
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.70)
Country:
- North America > United States > California > Los Angeles County > Long Beach (0.14)
- North America > United States > Minnesota > Hennepin County > Minneapolis (0.14)
- Europe > Switzerland > Zürich > Zürich (0.14)
- (17 more...)
Technology:
Black-Box Differential Privacy for Interactive ML
We show that any (possibly non-private) learning rule can be effectively transformed to a private learning rule with only a polynomial overhead in the mistake bound.
Country:
- Asia > Middle East > Israel > Tel Aviv District > Tel Aviv (0.04)
- Antarctica (0.04)
Industry:
- Education > Educational Setting > Online (0.47)
- Information Technology > Security & Privacy (0.46)
- Transportation > Air (0.40)
Learning Causal Models under Independent Changes
In many scientific applications, we observe a system in different conditions in which its components may change, rather than in isolation.
Country:
- North America > United States > Wisconsin > Dane County > Madison (0.04)
- North America > United States > Virginia > Arlington County > Arlington (0.04)
- North America > Puerto Rico > San Juan > San Juan (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Computational Learning Theory (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Clustering (0.67)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.50)
