Andreas Veit

I am currently a Staff Research Scientist at Google Research in New York. Before joining Google, I received my PhD in Computer Science from Cornell University and Cornell Tech in 2018, advised by Professor Serge Belongie. My research interests lie in the fields of Deep Learning, Computer Vision and Machine Learning.
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Research Highlights

Large Language Models with Controllable Working Memory

Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix Yu, Sanjiv Kumar,
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Understanding Robustness of Transformers for Image Classification

Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit,
ICCV 2021
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How To Backdoor Federated Learning

Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, Vitaly Shmatikov
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Convolutional Networks with Adaptive Inference Graphs

Andreas Veit, Serge Belongie
ECCV 2018 (Oral), International Journal for Computer Vision (IJCV) 2020
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Learning From Noisy Large-Scale Datasets With Minimal Supervision

Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge Belongie
CVPR 2017
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Residual Networks Behave Like Ensembles of Relatively Shallow Networks

Andreas Veit, Kimberly Wilber, Serge Belongie
NIPS 2016
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COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images

Andreas Veit, Tomáš Matera, Lukáš Neumann, Jiri Matas, Serge Belongie
Scene Understanding Workshop at CVPR 2016
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