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发表论文5 篇

平均评分5.5

年均产出2.5 篇/年

Berivan Isik

Research Scientist@Google·美国·OpenReview

研究方向

efficient AI · data valuation · trustworthy AI

Scaling Laws for Downstream Task Performance in Machine Translation

ICLR 2025Poster

Leveraging Per-Instance Privacy for Machine Unlearning

ICML 2025Poster

Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs

ICLR 2025Withdrawn

On Fairness of Low-Rank Adaptation of Large Models

COLM 2024Poster

Sketching for Distributed Deep Learning: A Sharper Analysis

NeurIPS 2024Poster

合作者 (20)

博士导师4 篇

Ashmita Bhattacharyya

Eleni Triantafillou

Gintare Karolina Dziugaite

Nazanin Mohammadi Sepahvand

Nicolas Papernot