Overview
One of the most impressive abilities of human beings is the incremental learning ability. Since birth, we are always learning continuously without forgetting previously acquired knowledge that is useful for us.
Key Facts
Modern deep neural networks adapt their parameters based on large-scale datasets to achieve state-of-the-art performance on specific computer vision tasks. However, due to legal and technical constraints and huge label diversity, deep learning models in real-world scenarios would rarely be trained just once time. Instead, they could be trained sequentially in several disjoint computer vision tasks without considering the data from previous tasks.
Therefore, these networks should learn incrementally without forgetting the previously learned knowledge. This is known as Continual Learning (CL). Currently, there are two families of CL methods. Discover more wit this Next Generation Continual Learning (Internship) project at King Abdullah University of Science and Technology (KAUST) .
Get more details
Visit programme websiteProgramme Structure
- A novel memory sampling strategy that learns to select a different number of relevant frames per video to reduce memory consumption while the performance remains almost the same;
- Novel training techniques/schemes to reduce forgetting.
- Benchmarking different continual learning methods on more practical metrics.
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
Start dates & application deadlines
- Application deadline: All year around
Language
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Delivered
Campus Location
- Thuwal, Saudi Arabia
Disciplines
Computer Sciences Machine Learning View 16 other Short Courses in Machine Learning in Saudi ArabiaExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Undergraduate students in 3rd year or above and master’s students.
- Minimum GPA: 3.5/4
- Curriculum Vitae (CV)
- Statement of purpose
- Contact details of 3 referees
- Official English language test score
Student Insurance via Studyportals Partner
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Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at King Abdullah University of Science and Technology (KAUST) and/or in Saudi Arabia, please visit Student Insurance Portal.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residentsFree -
Domestic Applies to you
Applies to youCitizens or residentsFree
Additional Details
- This is a fully-funded internship; it includes tuition, airfare, housing, medical insurance, visa reimbursement and a monthly stipend of $1,000.
Living costs
Thuwal
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
The KAUST Fellowship includes:
- Full coverage of tuition and bench fees (worth USD $35,000 per year)
- A monthly stipend (worth USD $20,000 per year for PG Diploma and M.S. students, and USD $25,000 to $30,000 for Ph.D. students depending on qualifications and academic progress)
- On-campus housing (worth USD $7,000 per year and covering utilities such as electricity and wifi)
- Health insurance (worth USD $1,450 per year)
- Relocation support (visa, relocation and travel costs)