עקוב אחר
Andreas Veit
Andreas Veit
Research Scientist, Google
כתובת אימייל מאומתת בדומיין cs.cornell.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
18032020
Residual networks behave like ensembles of relatively shallow networks‏
A Veit, MJ Wilber, S Belongie‏
Advances in neural information processing systems 29, 2016‏
12352016
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 https://github.com/openimages, 2016‏
7972016
Deep learning is robust to massive label noise‏
D Rolnick, A Veit, S Belongie, N Shavit‏
arXiv preprint arXiv:1705.10694, 2017‏
6142017
Long-tail learning via logit adjustment‏
AK Menon, S Jayasumana, AS Rawat, H Jain, A Veit, S Kumar‏
arXiv preprint arXiv:2007.07314, 2020‏
5812020
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
5382017
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
5352016
Convolutional Networks with Adaptive Inference Graphs‏
A Veit, S Belongie‏
European Conference on Computer Vision (ECCV '18), 2017‏
4532017
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
3632015
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
3432021
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
268*2020
Conditional Similarity Networks‏
A Veit, S Belongie, T Karaletsos‏
Computer Vision and Pattern Recognition, (CVPR '17), 2017‏
1852017
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
1612018
Residual networks are exponential ensembles of relatively shallow networks‏
A Veit, M Wilber, S Belongie‏
arXiv preprint arXiv:1605.06431 1 (2), 3, 2016‏
1212016
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
1112014
Learning to Detect and Match Keypoints with Deep Architectures‏
H Altwaijry, A Veit, S Belongie‏
British Machine Vision Conference (BMVC), 2016‏
872016
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
662020
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
662017
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
502022
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
392017
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מאמרים 1–20