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Conference and Workshop Papers
- 2024
[c7]Prannay Kaul, Zhizhong Li, Hao Yang, Yonatan Dukler, Ashwin Swaminathan, C. J. Taylor, Stefano Soatto:
THRONE: An Object-Based Hallucination Benchmark for the Free-Form Generations of Large Vision-Language Models. CVPR 2024: 27218-27228- 2023
- [c6]Rajshekhar Das, Yonatan Dukler, Avinash Ravichandran, Ashwin Swaminathan:
Learning Expressive Prompting With Residuals for Vision Transformers. CVPR 2023: 3366-3377 - [c5]Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto:
SAFE: Machine Unlearning With Shard Graphs. ICCV 2023: 17062-17072 - [c4]Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto:
Your representations are in the network: composable and parallel adaptation for large scale models. NeurIPS 2023 - 2022
- [c3]Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
DIVA: Dataset Derivative of a Learning Task. ICLR 2022 - 2020
- [c2]Yonatan Dukler, Quanquan Gu, Guido Montúfar:
Optimization Theory for ReLU Neural Networks Trained with Normalization Layers. ICML 2020: 2751-2760 - 2019
- [c1]Yonatan Dukler, Wuchen Li, Alex Tong Lin, Guido Montúfar:
Wasserstein of Wasserstein Loss for Learning Generative Models. ICML 2019: 1716-1725
Informal and Other Publications
- 2024
- [i9]Prannay Kaul, Zhizhong Li, Hao Yang, Yonatan Dukler, Ashwin Swaminathan, C. J. Taylor, Stefano Soatto:
THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models. CoRR abs/2405.05256 (2024) - [i8]Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto:
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory. CoRR abs/2407.06324 (2024) - [i7]Chaofan Tao, Gukyeong Kwon, Varad Gunjal, Hao Yang, Zhaowei Cai, Yonatan Dukler, Ashwin Swaminathan, R. Manmatha, Colin J. Taylor, Stefano Soatto:
NAVERO: Unlocking Fine-Grained Semantics for Video-Language Compositionality. CoRR abs/2408.09511 (2024) - 2023
- [i6]Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto:
Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models. CoRR abs/2303.04105 (2023) - [i5]Rajshekhar Das, Yonatan Dukler, Avinash Ravichandran, Ashwin Swaminathan:
Learning Expressive Prompting With Residuals for Vision Transformers. CoRR abs/2303.15591 (2023) - [i4]Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto:
SAFE: Machine Unlearning With Shard Graphs. CoRR abs/2304.13169 (2023) - 2021
- [i3]Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
DIVA: Dataset Derivative of a Learning Task. CoRR abs/2111.09785 (2021) - 2020
- [i2]Yonatan Dukler, Quanquan Gu, Guido Montúfar
:
Optimization Theory for ReLU Neural Networks Trained with Normalization Layers. CoRR abs/2006.06878 (2020) - 2019
- [i1]Alex Tong Lin, Yonatan Dukler, Wuchen Li, Guido Montúfar:
Wasserstein Diffusion Tikhonov Regularization. CoRR abs/1909.06860 (2019)
Coauthor Index
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