Andreas Veit
Andreas Veit
Research Scientist, Google
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Zitiert von
Zitiert von
How to backdoor federated learning
E Bagdasaryan, A Veit, Y Hua, D Estrin, V Shmatikov
International conference on artificial intelligence and statistics, 2938-2948, 2020
Residual networks behave like ensembles of relatively shallow networks
A Veit, MJ Wilber, S Belongie
Advances in neural information processing systems 29, 2016
OpenImages: A public dataset for large-scale multi-label and multi-class image classification.
I Krasin, T Duerig, N Alldrin, A Veit, S Abu-El-Haija, S Belongie, D Cai, ...
Dataset available from, 2016
Long-tail learning via logit adjustment
AK Menon, S Jayasumana, AS Rawat, H Jain, A Veit, S Kumar
arXiv preprint arXiv:2007.07314, 2020
Deep learning is robust to massive label noise
D Rolnick, A Veit, S Belongie, N Shavit
arXiv preprint arXiv:1705.10694, 2017
Coco-text: Dataset and benchmark for text detection and recognition in natural images
A Veit, T Matera, L Neumann, J Matas, S Belongie
arXiv preprint arXiv:1601.07140, 2016
Learning from noisy large-scale datasets with minimal supervision
A Veit, N Alldrin, G Chechik, I Krasin, A Gupta, S Belongie
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Convolutional Networks with Adaptive Inference Graphs
A Veit, S Belongie
European Conference on Computer Vision (ECCV '18), 2017
Understanding robustness of transformers for image classification
S Bhojanapalli, A Chakrabarti, D Glasner, D Li, T Unterthiner, A Veit
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences
A Veit*, B Kovacs*, S Bell, J McAuley, K Bala, S Belongie
IEEE International Conference on Computer Vision, ICCV '15, 2015
Why are adaptive methods good for attention models?
J Zhang, SP Karimireddy, A Veit, S Kim, S Reddi, S Kumar, S Sra
Advances in Neural Information Processing Systems 33, 15383-15393, 2020
Conditional Similarity Networks
A Veit, S Belongie, T Karaletsos
Computer Vision and Pattern Recognition, (CVPR '17), 2017
Learning to evaluate image captioning
Y Cui, G Yang, A Veit, X Huang, S Belongie
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Residual networks are exponential ensembles of relatively shallow networks
A Veit, M Wilber, S Belongie
arXiv preprint arXiv:1605.06431 1 (2), 3, 2016
Household Electricity Demand Forecasting: Benchmarking State-of-the-Art Methods
A Veit, C Goebel, R Tidke, C Doblander, HA Jacobsen
e-Energy '14 5th International Conference on Future Energy System, 233-234, 2014
Learning to Detect and Match Keypoints with Deep Architectures
H Altwaijry, A Veit, S Belongie
British Machine Vision Conference (BMVC), 2016
Icdar2017 robust reading challenge on coco-text
R Gomez, B Shi, L Gomez, L Numann, A Veit, J Matas, S Belongie, ...
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
Coping with label shift via distributionally robust optimisation
J Zhang, A Menon, A Veit, S Bhojanapalli, S Kumar, S Sra
arXiv preprint arXiv:2010.12230, 2020
Large language models with controllable working memory
D Li, AS Rawat, M Zaheer, X Wang, M Lukasik, A Veit, F Yu, S Kumar
arXiv preprint arXiv:2211.05110, 2022
Crowd research: Open and scalable university laboratories
R Vaish, SNS Gaikwad, G Kovacs, A Veit, R Krishna, I Arrieta Ibarra, ...
Proceedings of the 30th Annual ACM Symposium on User Interface Software and …, 2017
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