Overview
The upcoming NeurIPS 2019 workshop on Sets & Partitions invites researchers to submit their papers. This workshop aims to delve into the significant challenges and advancements in machine learning related to set-valued inputs and outputs. Given the growing importance of set processing in various domains, this event is a vital platform for sharing insights and fostering collaboration within the AI/ML community.
Background & Relevance
Set-valued problems are prevalent in machine learning, impacting areas such as multi-instance learning, population statistics estimation, and point cloud classification. The emergence of new tasks that utilize sets as inputs is notable in fields like high energy physics, cosmology, and crystallography. As researchers explore techniques for learning representations of sets and partitions, the potential for enhanced scalability and interpretability becomes increasingly apparent. This workshop will contribute to the ongoing discourse on permutation invariant and equivariant representations, which are crucial for advancing methodologies in this area.
Key Details
- Workshop Dates: December 13 or 14, 2019 (to be determined)
- Location: Vancouver, Canada
- Submission Deadline: September 18, 2019 (23:59 anywhere on earth)
- Acceptance Notification: September 27, 2019
- Submission Website: OpenReview
- Page Limit: 4 pages (excluding references, unlimited supplementary material)
- Submission Format: NeurIPS 2019 format, double-blind review required
Eligibility & Participation
This workshop is open to researchers and practitioners interested in the theoretical and methodological aspects of sets and partitions in machine learning. Contributions from various domains are encouraged, especially those that present innovative applications or address open problems in this field.
Submission or Application Guidelines
To participate, authors should prepare their submissions according to the NeurIPS 2019 format. The following steps outline the submission process:
1. Prepare a paper of up to 4 pages, excluding references.
2. Ensure the submission is double-blind.
3. Submit via the OpenReview platform by the deadline.
4. If submitting a dual submission, contact the organizers beforehand.
5. At least one author of each accepted paper must present at the workshop.
Additional Context / Real-World Relevance
The exploration of sets and partitions is increasingly relevant in machine learning, particularly as applications expand across diverse fields. Understanding how to effectively process and represent sets can lead to significant advancements in various domains, including optimization and algorithm development. This workshop serves as an essential gathering for sharing knowledge and fostering innovation in set-based methodologies.
Conclusion
Researchers are encouraged to submit their work to the NeurIPS 2019 workshop on Sets & Partitions. This event promises to be a significant opportunity for collaboration and knowledge exchange in a rapidly evolving area of machine learning. Interested participants should prepare their submissions and engage with the community to advance the understanding of set-valued problems.
Category: CFP & Deadlines
Tags: sets, partitions, neurips, machine learning, clustering, permutation invariance, deep learning, optimization
