Projects
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Visualizing and Understanding Deep Reinforcement Learning Policies (PDF)
Setareh Cohan
Ongoing project
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A Bayesian Approach to Visual Question Answering (PDF)
Gursimran Singh,
Saeid Naderiparizi,
Setareh Cohan
Probabilistic Programming course, winter 2018
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RegNet: Regularizing Deep Networks (PDF, code)
Setareh Cohan,
Saeid Naderiparizi
Multimodal Learning with Vision, Language and Sound course, spring 2018
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A Survey on Active Learning (PDF)
Setareh Cohan,
Saeid Naderiparizi
Machine Learning II course, spring 2018
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Learning to Ride a Bike (PDF, code)
Setareh Cohan,
Saeid Naderiparizi
Computer Animation course, winter 2017
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Learning Influence Diffusion Probabilities under Independent Cascade with Independent Decay over Time (PDF)
Saeid Naderiparizi,
Polina Zablotskaia,
Setareh Cohan
Social and Information Networks course, winter 2017
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3D Scene Reconstruction
Setareh Cohan,
Saeid Naderiparizi(PDF)
Fundamentals of 3D Computer Vision course, spring 2015
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Experience
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Research Intern at Borealis AI
Supervisor: Lili Meng
Investigated the advantages of integrating probabilistic prediction and selective prediction (or prediction with reject option) for regression tasks. Implemented SelectiveNet (Geifman et al., ICML2019), and altered the prediction modules to probabilistic prediction modules (code is available here). Designed and executed numerical experiments on large computer clusters for classification and regression tasks.
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Teaching Assistant for CPSC 440, Advanced Machine Learning - Winter 2020
Teaching Assistant for CPSC 340, Machine Learning - Winter 2019
Teaching Assistant for CPSC 304, Database Design - Fall 2018
Teaching Assistant for CPSC 320, Algorithm Design and Analysis - Fall 2019, Summer 2019, Winter 2018, Fall 2017
Teaching Assistant for Design of Algorithms - Winter 2016
Teaching Assistant Advanced Programming in Java - Spring 2014
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