Gamaleldin F. Elsayed

According to our database1, Gamaleldin F. Elsayed authored at least 16 papers between 2018 and 2023.

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Bibliography

2023
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.
CoRR, 2023

Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5?
CoRR, 2023

Scaling Vision Transformers to 22 Billion Parameters.
CoRR, 2023

Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames.
Proceedings of the International Conference on Machine Learning, 2023


Learning in temporally structured environments.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Teacher-generated spatial-attention labels boost robustness and accuracy of contrastive models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Conditional Object-Centric Learning from Video.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2020
Addressing the Real-world Class Imbalance Problem in Dermatology.
Proceedings of the Machine Learning for Health Workshop, 2020

Revisiting Spatial Invariance with Low-Rank Local Connectivity.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Saccader: Improving Accuracy of Hard Attention Models for Vision.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Adversarial Reprogramming of Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Adversarial Examples that Fool both Human and Computer Vision.
CoRR, 2018

Adversarial Examples that Fool both Computer Vision and Time-Limited Humans.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Large Margin Deep Networks for Classification.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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