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Boaz Barak

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An Economic Solution to Copyright Challenges of Generative AI

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Apr 24, 2024
Jiachen T. Wang, Zhun Deng, Hiroaki Chiba-Okabe, Boaz Barak, Weijie J. Su

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Distinguishing the Knowable from the Unknowable with Language Models

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Feb 05, 2024
Gustaf Ahdritz, Tian Qin, Nikhil Vyas, Boaz Barak, Benjamin L. Edelman

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Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models

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Nov 15, 2023
Hanlin Zhang, Benjamin L. Edelman, Danilo Francati, Daniele Venturi, Giuseppe Ateniese, Boaz Barak

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Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning

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Jun 14, 2023
Nikhil Vyas, Depen Morwani, Rosie Zhao, Gal Kaplun, Sham Kakade, Boaz Barak

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Scaling Data-Constrained Language Models

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May 25, 2023
Niklas Muennighoff, Alexander M. Rush, Boaz Barak, Teven Le Scao, Aleksandra Piktus, Nouamane Tazi, Sampo Pyysalo, Thomas Wolf, Colin Raffel

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Provable Copyright Protection for Generative Models

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Feb 21, 2023
Nikhil Vyas, Sham Kakade, Boaz Barak

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Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

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Jul 18, 2022
Boaz Barak, Benjamin L. Edelman, Surbhi Goel, Sham Kakade, Eran Malach, Cyril Zhang

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Deconstructing Distributions: A Pointwise Framework of Learning

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Feb 20, 2022
Gal Kaplun, Nikhil Ghosh, Saurabh Garg, Boaz Barak, Preetum Nakkiran

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Revisiting Model Stitching to Compare Neural Representations

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Jun 14, 2021
Yamini Bansal, Preetum Nakkiran, Boaz Barak

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Named Tensor Notation

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Feb 25, 2021
David Chiang, Alexander M. Rush, Boaz Barak

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