I am a computer science PhD student at the Massachusetts Institute of Technology (MIT) — studying artificial intelligence through natural language processing and machine learning. I am lucky to be advised by Jacob Andreas.
I work on improving sequence modeling for language processing and understanding. Languages exhibit some notion of compositionality (productivity and systematicity) whereas current neural language learners lack required inductive biases to achieve this data-efficiently. My recent work aims at understanding simple biases that will enable neural sequence models to achieve types of generalization that humans do
I am also interested in language supervision/grounding and worked on two recent projects: (i) using language to guide image classifiers to learn representations that enable learning of new classes (only with few samples) without forgetting the old ones, (ii) using language models to guide policy learning in a virtual home environment.
- I had a summer internship at Google Research and worked with Kelvin Guu and Keith Hall on fact attribution by using large language models.
- As a visiting student at @MIT CSAIL, I worked with Prof. Alan Edelman on linear algebraic formulation of backpropagation to facilitate existing matrix operations on neural computation graphs;
- I worked with John W. Fischer on efficient distributed algorithms for non-bayesian parametric;
- I was a part of KUIS AI Lab during my undergraduate education and I worked with Prof. Deniz Yuret on natural language processing.
- I received my Bachelor’s degrees in Electrical&Electronics Engineering and in Physics from Koç University in 2019.
Ekin Akyürek, Jacob Andreas
Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu
Ekin Akyürek, Alan Edelman, Bernie Wang (2021)
Neurips Differential Programming Workshop, 2021
Afra Feyza Akyürek, Ekin Akyürek, Derry Wijaya, Jacob Andreas (2021)
International Conference on Learning Representations, ICLR 2022
Ekin Akyürek, Jacob Andreas (2021)
Annual Meeting of the Association for Computational Linguistics, ACL 2021 (oral)
Ekin Akyürek, Afra Feyza Akyürek, Jacob Andreas (2020)
International Conference on Learning Representations, ICLR 2021
Ekin Akyürek*, Erenay Dayanık*, Deniz Yuret (2019)
Transactions of the Association for Computational Linguistics, TACL (also presented at EMNLP 2019)
Ahmet Börütecene, İdil Bostan, Ekin Akyürek, Alpay Sabuncuoğlu, İlker Temuzkuşu, Çağlar Genç, Tilbe Göksun, Oğuzhan Özcan (2018)
In Proceedings of the 12th International Conference on Tangible, Embedded and Embodied Interaction, TEI 2018, ACM