【AML】Project Proposal Guidelines for Advanced Machine Learning Course

Jinhua Du

Keywords: Advanced Machine Learning, major assignment, topic selection, Proposal, NeurIPS format, Kaggle tasks, peer review, evaluation criteria, OpenReview platform, research directions

Abstract: This project guideline explains the requirements and evaluation criteria for the major assignment in the Advanced Machine Learning course. Each team, consisting of 2-3 students, must solve a practical problem using machine learning methods. The topic can be related to large models or any area of interest within machine learning, including tasks from Kaggle. The required submissions include a Proposal, Mid-term Report, Final Report, PPT, and implementation code. All report materials must be written in English and formatted according to the NeurIPS conference paper guidelines. The grading criteria cover the Proposal, peer reviews, TA and instructor assessments, and provide detailed instructions for registering and submitting via the OpenReview platform. Additionally, the guideline suggests several potential research directions and resources, offering clear guidance for students on their research and writing process.

Submission Number: 2