RIML Lab
JournalClub_GNNExplainer_Abdoos.mp4
ارائهی GNNExplainer از آقای عبدوس در تاریخ ۸ آذر ۱۴۰۲
#open_position
We are looking for a new intern to work on novel high-quality image generation methods. The work is consisted of a study on text-aligned and diverse image generation along with the corresponding evaluation metrics. This is a shared work in @sutmll and @RIMLLab, under the supervision of Dr. Soleymani and Dr. Rohban.
## Requirements
- Familiarity with ML and DL fundamentals
- Familiarity with transformers
- Familiarity with diffusion models
- Familiarity with PyTorch framework
- Having skills in reading and presenting papers
## Preferred Qualifications
- Familiarity with vision-language models (VLMs)
## Benefits
- Being supportively supervised by MLL and RIML's PIs and graduate students
- Being involved in cutting-edge research and study
- Receiving recommendation letters from Dr. Soleymani and Dr. Rohan
## How to Apply
To apply for the position, please send your CV and trannoscript, as well as a research statement, describing how you fulfill the position's requirements to ghaznavi.mahdi@gmail.com, aliabdollahi024a@gmail.com, and arashmarioriyad@gmail.com. Besides, please complete the following task, send the final results, and a report about the way you obtained them with the application:
Use text-to-image generative models (diffusion-based are recommended) to generate 5 high-quality images of a scene with the following denoscription: "A man is driving and a woman is sitting beside him". The images should be as realistic and diverse as possible.
## Application Deadline
Send your application by Sunday, 1402/10/3.
## Contact Information
If you have any questions, please contact the above email or PM Ali Abdollahi (https://news.1rj.ru/str/mllresponse).
#research_application
We are looking for a new intern to work on novel high-quality image generation methods. The work is consisted of a study on text-aligned and diverse image generation along with the corresponding evaluation metrics. This is a shared work in @sutmll and @RIMLLab, under the supervision of Dr. Soleymani and Dr. Rohban.
## Requirements
- Familiarity with ML and DL fundamentals
- Familiarity with transformers
- Familiarity with diffusion models
- Familiarity with PyTorch framework
- Having skills in reading and presenting papers
## Preferred Qualifications
- Familiarity with vision-language models (VLMs)
## Benefits
- Being supportively supervised by MLL and RIML's PIs and graduate students
- Being involved in cutting-edge research and study
- Receiving recommendation letters from Dr. Soleymani and Dr. Rohan
## How to Apply
To apply for the position, please send your CV and trannoscript, as well as a research statement, describing how you fulfill the position's requirements to ghaznavi.mahdi@gmail.com, aliabdollahi024a@gmail.com, and arashmarioriyad@gmail.com. Besides, please complete the following task, send the final results, and a report about the way you obtained them with the application:
Use text-to-image generative models (diffusion-based are recommended) to generate 5 high-quality images of a scene with the following denoscription: "A man is driving and a woman is sitting beside him". The images should be as realistic and diverse as possible.
## Application Deadline
Send your application by Sunday, 1402/10/3.
## Contact Information
If you have any questions, please contact the above email or PM Ali Abdollahi (https://news.1rj.ru/str/mllresponse).
#research_application
#open_position
We need an intern/collaborator for a project on Self-Supervised Learning and Histopathology Whole Slide Classification.
The project has had success, having an accepted paper in a AAAI workshop, and the complete version is going to be submitted for the ECCV Conference (the conference deadline is 17 Esfand, so it’s close, and if you’re interested, apply as soon as you can).
Technical Requirements:
- English Proficiency is good enough to be able to read and comprehend academic papers and write well enough that ChatGPT understands.
- Hands-on experience in ML and Deep Learning
- Hands-on experience with Pytorch
- Familiarity with transformers
- Being able to work with a team on GitHub
- Successful experience of running academic paper’s GitHub codes
- Relatively clean coding
Non Technical Requirements:
- Being try-hard and persistent
- Being on call
- Entuzuastc to learn, especially new platforms
Benefits:
- Having RIML Lab and Dr. Rohban’s support and astomsfere
- Research-related recommendation letter from Dr. Rohban
- A high chance of having an ECCV paper in your CV
If you’re interested, you can send your CV to hussein.jafarinia@gmail.com
We need an intern/collaborator for a project on Self-Supervised Learning and Histopathology Whole Slide Classification.
The project has had success, having an accepted paper in a AAAI workshop, and the complete version is going to be submitted for the ECCV Conference (the conference deadline is 17 Esfand, so it’s close, and if you’re interested, apply as soon as you can).
Technical Requirements:
- English Proficiency is good enough to be able to read and comprehend academic papers and write well enough that ChatGPT understands.
- Hands-on experience in ML and Deep Learning
- Hands-on experience with Pytorch
- Familiarity with transformers
- Being able to work with a team on GitHub
- Successful experience of running academic paper’s GitHub codes
- Relatively clean coding
Non Technical Requirements:
- Being try-hard and persistent
- Being on call
- Entuzuastc to learn, especially new platforms
Benefits:
- Having RIML Lab and Dr. Rohban’s support and astomsfere
- Research-related recommendation letter from Dr. Rohban
- A high chance of having an ECCV paper in your CV
If you’re interested, you can send your CV to hussein.jafarinia@gmail.com
سلسله جلسات آزمایشگاه RIML با محوریت مباحث تئوری و تدریس دکتر رهبان:
- جلسه اول: Conformal Prediction
- جلسه دوم: Concentration of Measure - Part 1
- جلسه سوم: Concentration of Measure - Part 2
- جلسه چهارم: Concentration of Measure - Part 3
- جلسه پنجم: Concentration of Measure - Part 4
این لیست به مرور زمان آپدیت میشود.
- جلسه اول: Conformal Prediction
- جلسه دوم: Concentration of Measure - Part 1
- جلسه سوم: Concentration of Measure - Part 2
- جلسه چهارم: Concentration of Measure - Part 3
- جلسه پنجم: Concentration of Measure - Part 4
این لیست به مرور زمان آپدیت میشود.
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Reinforcement Learning Course
Dr. Rohban and Mr. Hasani
Spring 2023
Session 1
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Spring 2023
Session 1
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Reinforcement Learning Course
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Spring 2023
Session 2
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Spring 2023
Session 2
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Reinforcement Learning Course
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Spring 2023
Session 3
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Spring 2023
Session 3
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Reinforcement Learning Course
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Spring 2023
Session 4
Dr. Rohban and Mr. Hasani
Spring 2023
Session 4
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Reinforcement Learning Course
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Session 5
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Session 5
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Reinforcement Learning Course
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Session 6
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Session 6
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Reinforcement Learning Course
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Session 7
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Session 7
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Reinforcement Learning Course
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Session 8
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Session 8
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Reinforcement Learning Course
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Session 9
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Session 9
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Reinforcement Learning Course
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Session 10
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Spring 2023
Session 10
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Reinforcement Learning Course
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Session 11
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Session 11
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Reinforcement Learning Course
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Session 12
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Session 12
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Reinforcement Learning Course
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Session 13
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Session 13
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Reinforcement Learning Course
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Session 14
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Session 14
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Reinforcement Learning Course
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Session 15
Dr. Rohban and Mr. Hasani
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Session 15