Good training data is a prerequisite to develop useful Machine Learning applications. However, in many domains existing sets cannot be shared due privacy regulations (e.g., from medical studies). This work investigates simple yet unconventional approach for anonymized synthesis enable third parties benefit such data. We explore the feasibility of learning implicitly visually unrealistic, task-r...

Research spanning three decades has found that human judgment is characterized by unrealistic optimism (or “optimism bias”), the tendency to underestimate the likelihood of negative events and overestimate the likelihood of positive events (Weinstein, 1980). This work has recently garnered much interest, some question its existence (Harris and Hahn, 2011), while others have found support for it...