George Stoica
Fourth Year ML PhD Student @ Georgia Tech, Visiting @ UW.
CODA
756 West Peachtree St. North West
Atlanta, GA 30308
I am a fourth-year Machine Learning PhD Student in the School of Interactive Computing at Georgia Institute of Technology advised by Professor Judy Hoffman. I am also a visiting PhD student in the at the University of Washington, working with Professor Ranjay Krishna. I am very fortunate to be supported by the National Science Foundation Graduate Research Fellowship.
I am broadly interested in computer vision and natural language processing, with a focus on representation learning and understanding. I am particularly interested in topics involving large-scale models, multitask & continual learning, multimodality, transfer learning, efficiency, and architecture development.
Previously, I was a Research Assistant in the Machine Learning Department at Carnegie Mellon University advised by Professor Barnabás Póczos. I hold a Bachelors degree in Statistics and Machine Learning from Carnegie Mellon University with School of Computer Science and University Honors.
News
Oct 25, 2024 | Model merging with SVD to tie the Knots released on arXiv 2024 |
---|---|
Sept 6, 2024 | Started visiting PhD studentship at UW, under Professor Ranjay Krishna |
Jan 15, 2024 | Our V2 of ZipIt! Merging Models from Different Tasks without Training was accepted to ICLR 2024 |
May 4, 2023 | Our V1 of ZipIt! Merging Models from Different Tasks without Training was released on arXiv |
March 30, 2023 | I was very fortunate to be awarded the NSF Graduate Research Fellowship |
December 9, 2022 | Bi-Directional Self-Attention for Vision Transformers won the best paper award at the NeurIPS 2022 VTTA Workshop |
Dec 2, 2020 | Our new relation extraction dataset Re-TACRED was accepted to AAAI 2021 |
Oct 30, 2020 | Our new relation extraction dataset Re-TACRED was accepted at the NeurIPS 2020 KR2ML Worshop |
Oct 30, 2020 | Our work on cyclically combining Knowledge Graphs and Relation Extraction was accepted at the NeurIPS 2020 KR2ML Workshop. |
Dec 10, 2019 | Our work on Knowledge Graph Link Prediction was accepted to AAAI 2020 |