Md Rifat Arefin

About Me

I am a Ph.D. student at Mila and University of Montreal supervised by Professor Irina Rish. My research focuses on representation learning, abstract concept learning, and generalization in large-scale systems. My goal is to understand how large-scale deep learning systems are very useful in compressing data and learning useful abstract representations, especially in un/self-supervised manner. I am also interested in making these models robust in data distribution shifts, similar to human beings.

Research Interests

• Foundation Model, Representation Learning, Transfer Learning, Reasoning, Information Theory

News

• [October 2024] Started Applied Scientist Research Internship at Amazon, Seattle.
• [October 2024] Our paper on representation compression in LLMs is accepted to Compression Workshop @ NeurIPS, 2024.
• [October 2024] 1 paper submitted to ICLR 2025.
• [June 2024] 1 paper accepted at ICML 2024 Workshop on Foundation Models in the Wild.
• [May 2024] Started as Visiting Researcher at ServiceNow Research.
• [May 2024] Our paper on Spurious Correlation is accepted at ICML, 2024.
• [February 2024] 1 paper submitted to ICML, 2024.
• [January 2024] Passed PhD Candidacy Exam.
• [May 2023] Started Internship at Recursion Pharmaceuticals.

Services

Conference Reviewers

• International Conference on Learning Representations (ICLR) 2025
• Conference on Neural Information Processing Systems (NeurIPS)2024
• International Conference on Artificial Intelligence and Statistics (AISTATS) 2024

Scolarships, Grants and Awards

• IVADO PhD Excellence Scholarship (September 2021 - August 2024)
• 1st Runner up in PROBA-V Super Resolution Competition organized by European Space Agency, Team: "rarefin"
• Deep and Reinforcement Learning Summer School 2019 Travel Grant
• Obtained President Scholarship during the study of Masters
• IEEE BDS best paper award in International conference on Computer and information Technology 2015

Publications

Powered by Jekyll and Minimal Light theme.