Yonatan Dukler

According to our database, Yonatan Dukler authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models.

Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto

CoRR, 2023

Your representations are in the network: composable and parallel adaptation for large scale models.

Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SAFE: Machine Unlearning With Shard Graphs.

Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Expressive Prompting With Residuals for Vision Transformers.

Rajshekhar Das, Yonatan Dukler, Avinash Ravichandran, Ashwin Swaminathan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DIVA: Dataset Derivative of a Learning Task.

Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Optimization Theory for ReLU Neural Networks Trained with Normalization Layers.

Yonatan Dukler, Quanquan Gu, Guido Montúfar

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Wasserstein Diffusion Tikhonov Regularization.

Alex Tong Lin, Yonatan Dukler, Wuchen Li, Guido Montúfar

CoRR, 2019

Wasserstein of Wasserstein Loss for Learning Generative Models.

Yonatan Dukler, Wuchen Li, Alex Tong Lin, Guido Montúfar

Proceedings of the 36th International Conference on Machine Learning, 2019