UDM-KDD’24 - Call For Papers

Important Dates

Following are the proposed important dates for the workshop. All deadlines are due Anywhere on Earth (AoE).

Paper submission deadline: ~~May 28th, 2024~~ June 4th, 2024.
Paper review due: June 27th, 2024.
Notification of decision: ~~June 28th, 2024~~ July 1st, 2024.
Camera-ready due: July 27th, 2024.

Topic of interest (including but not limited to)

This workshop will provide a premium platform for both research and industry from different backgrounds to exchange ideas on opportunities, challenges, and cutting-edge techniques in uncertainty reasoning and quantification. We encourage submissions in various degrees of progress, such as new results, visions, techniques, innovative application papers, and progress reports under the topics that include, but are not limited to, the following broad categories:

Uncertainty quantification in classification and regression
Out-of-distribution detection
Conditional reasoning with uncertainty
Multidimensional uncertainty
Decision-making with uncertainty
Uncertainty quantification in large language models
Evidential learning
Aleatoric and epistemic uncertainty
Bayesian methods
Belief functions
Calibration
Classification with reject option
Conformal prediction
Uncertainty quantification in classification and regression
Ensemble methods
Imprecise probability
Likelihood and fiducial inference
Uncertainty-aware deep reinforcement learning
Noisy data and outliers
Uncertainty in optimization
Prediction intervals
Probabilistic methods
Reliable prediction

And with particular focuses but not limited to these application domains:

Application of uncertainty methods in large-scale data mining
Computer vision (uncertainty in face recognition, object relation)
Natural language processing (language uncertainty, sentence uncertainty)
Reinforcement learning (uncertainty-aware offline reinforcement learning exploration vs. exploitation)
Application of uncertainty methods in large language models

CFP Guidelines

Submissions are limited to a total of 5 pages, including all content and references, and must be in PDF format and use ACM Conference Proceeding templates (two-column format). Acknowledgments should be omitted from papers submitted for review. One recommended setting for a Latex file of an anonymous manuscript is: \documentclass[sigconf, anonymous, review]{acmart}. Template guidelines are here: https://www.acm.org/publications/proceedings-template . Following this KDD conference submission policy, reviews are double-blind, and author names and affiliations should NOT be listed.

Submitted papers will be assessed based on their novelty, technical quality, potential impact, and clarity of writing. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well-executed, and repeatable. Authors are strongly encouraged to make data and code publicly available whenever possible. The accepted papers will be posted on the workshop website but will not be included in the KDD proceedings.

Submit your paper through the UDM-KDD workshop CMT submission site: https://cmt3.research.microsoft.com/UDMW2024

Upon notification, we ask that authors of accepted works deanonymize their papers, make any final changes, and then submit a camera-ready version to the CMT submission site. The workshop website will then be updated with links to accepted papers. Note that accepted works will not be formally published. This means that:

Authors can retain full copyright of their works
Works contained in accepted papers are not precluded from being published in other research venues
Submitted papers are allowed to have significant overlap with previously published or currently submitted work (in this case, please indicate overlapping works).

Any questions may be directed to the email address: zhaoxuj32@gmail.com or/and chen_zhao@baylor.edu

Attendance

For each accepted paper, at least one author must attend the conference and present the paper.