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Seth Neel

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

5

papers

256

total citations

papers (5)

Adaptive Machine Unlearning

NEURIPS 2021arXiv

Machine Unlearning Fails to Remove Data Poisoning Attacks

Feature Importance Disparities for Data Bias Investigations

Machine Unlearning via Simulated Oracle Matching

In-Context Unlearning: Language Models as Few-Shot Unlearners