Yonatan Dukler

According to our database1, Yonatan Dukler authored at least 11 papers between 2019 and 2024.

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Timeline

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PhD thesis 
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Links

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Bibliography

2024
NAVERO: Unlocking Fine-Grained Semantics for Video-Language Compositionality.
CoRR, 2024

B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

THRONE: An Object-Based Hallucination Benchmark for the Free-Form Generations of Large Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models.
CoRR, 2023

Your representations are in the network: composable and parallel adaptation for large scale models.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Expressive Prompting With Residuals for Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
DIVA: Dataset Derivative of a Learning Task.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2020
Optimization Theory for ReLU Neural Networks Trained with Normalization Layers.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Wasserstein Diffusion Tikhonov Regularization.
CoRR, 2019

Wasserstein of Wasserstein Loss for Learning Generative Models.
Proceedings of the 36th International Conference on Machine Learning, 2019


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