Andreas Veit
Andreas Veit
Research Scientist, Google
Dirección de correo verificada de - Página principal
Citado por
Citado por
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
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
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
Separating self-expression and visual content in hashtag supervision
A Veit, M Nickel, S Belongie, L Van Der Maaten
Proceedings of the IEEE conference on computer vision and pattern …, 2018
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20