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James Diffenderfer
James Diffenderfer
9
papers
280
total citations
papers (9)
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training
ICLR 2024
arXiv
80
citations
A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness
NEURIPS 2021
arXiv
80
citations
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
ICML 2024
arXiv
49
citations
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies
ICML 2024
arXiv
37
citations
LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks
COLM 2025
arXiv
10
citations
Neural Image Compression: Generalization, Robustness, and Spectral Biases
NEURIPS 2023
arXiv
8
citations
TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention
ICCV 2025
7
citations
BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models
NEURIPS 2025
arXiv
7
citations
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
NEURIPS 2022
arXiv
2
citations