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Virginia Smith

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, 9:46 PM AMS

11

papers

367

total citations

papers (11)

On Large-Cohort Training for Federated Learning

NEURIPS 2021arXiv

Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing

NEURIPS 2021arXiv

On Privacy and Personalization in Cross-Silo Federated Learning

NEURIPS 2022arXiv

Adversarial Unlearning: Reducing Confidence Along Adversarial Directions

NEURIPS 2022arXiv

SAEs Can Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs

Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution

NEURIPS 2021arXiv

Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift

NEURIPS 2023arXiv

Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies

NEURIPS 2023arXiv

Many-Objective Multi-Solution Transport

Prompting is a Double-Edged Sword: Improving Worst-Group Robustness of Foundation Models

Progressive Ensemble Distillation: Building Ensembles for Efficient Inference

NEURIPS 2023arXiv