Untitled Document
Workshop on Machine Learning for Creativity(SIGKDD 2017)
14 August 2017, Canada
Call for Papers:
The first workshop on \'Machine Learning for Creativity\' is held along with SIGKDD-2017 to address one of the elusive goals of artificial intelligence - "Can Machines become creative like humans?". The goal of this workshop is to generate interest among the machine learning and data science community in this upcoming field by concentrating on applications of machine learning in creative domains
Suggested topics of paper submission for this workshop include, but not restricted to:
- Formulations/perspectives about creativity.
- Evaluation metrics for creativity.
- Learning paradigms for creativity.
- Large scale analytics with creativity understanding.
- Case studies of creative generation process.
- Insights into solutions/models for creativity.
- Identifying and mining creative content.
- Creativity vs Popularity/Likability.
- Surveys or benchmark datasets related to creative technologies.
- Assistive Creative tools for professionals and end-users.
- Frameworks tuned for specific fields like speech, vision and natural language.
- Domain adaptation for creativity.
- Personalized content generation.
- Creative conversational tools.
- Recommendation models for creative applications.
- Reinforcement learning for self-adaption with interactions.
- Multi-modal systems for creativity.
- Applications specific to professions like art, dance, music, literature, gaming, movie, fashion, recipe, education etc.
- Interfaces for creative human-computer interaction.
- Collaborative frameworks for creative domains.
IMPORTANT DATES:
- Paper submission date: May 26, 2017
- Acceptance notification date: June 16, 2017
User Name :
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