CS 4803/8803: Efficient Machine Learning
Lecture Location: College of Computing Room 17
Lecture Time: Monday & Wednesday 12:30 PM - 01:45 PM Eastern TimeĀ
Lecture Location: College of Computing Room 17
Lecture Time: Monday & Wednesday 12:30 PM - 01:45 PM Eastern TimeĀ
Homework projects: 18% * 5 = 90%
Lightning presentation: 5%
Participation: 5%
Late policy: Penalties of 20%, 40%, and 100% apply to submissions delayed by 0-24 hours, 24-48 hours, and beyond 48 hours, respectively
Format: Each student presents a research paper in 5-min (4-min presentation + 1-min Q&A)
Research paper: Published at a top-tier ML conference (NeurIPS/ICML/ICLR/CVPR/ICCV/ECCV/ACL) and relevant to your final project or our lecture
Time: Two presenters at the end of each lecture starting from the fourth lecture / Four lectures specifically arranged for lightning presentations
The course will follow all relevant and appropriate Georgia Institute of Technology academic regulations (See https://policylibrary.gatech.edu/student-life/academic-honor-code).
The course process will follow all relevant and appropriate Georgia Institute of Technology academic regulations, including those relevant to students with disabilities. Any students requiring additional assistance due to disabilities (e.g., learning disabilities) should contact the professor(s) during the first week of the semester. Students requiring extra time for examinations and quizzes are asked to make arrangements at least three days in advance. You may contact the Office of Disability Services (https://disabilityservices.gatech.edu/) regarding campus services.
Georgia Tech does not discriminate against individuals on the basis of race, color, religion, sex, national origin, age, disability, sexual orientation, or veteran status in the administration of admissions policies, educational policies, employment policies, or any other Institute-governed programs and activities. This class adheres to those guidelines. Alternative viewpoints are welcome in this classroom. However, statements that are deemed racist, sexist, classist, or otherwise discriminatory toward others in the class will not be tolerated. No form of harassment or discrimination is allowed in this class. In keeping with the professional nature of this course, only professional behavior is acceptable between the instructor and the students and between students. No harassment of any kind is allowed in class, including but not limited to gender, age, ability, religion, sexual orientation, and ethnicity.
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