Eric C. Yeats

11 papers A* 3Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models.
ICLR
Jingyang Zhang, Jingwei Sun, Eric C. Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao (Frank) Yang, Hai Li
2024 J jnl
Do Counterfactual Examples Complicate Adversarial Training?
CoRR
Eric C. Yeats, Cameron Darwin, Eduardo Ortega, Frank Liu, Hai Li
2024 J jnl
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models.
CoRR
Jingyang Zhang, Jingwei Sun, Eric C. Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao Yang, Hai Helen Li
2024 — conf
MulPi: A Multi-Class and Patient-Independent Computing-in-SRAM Seizure Classifier.
BioCAS
Bokyung Kim, Qijia Huang, Brady Taylor, Qilin Zheng, Jonathan Ku, Nicky Ramos, Eric C. Yeats, Yiran Chen, Hai Helen Li
2023 J jnl
Adversarial Estimation of Topological Dimension with Harmonic Score Maps.
CoRR
Eric C. Yeats, Cameron Darwin, Frank Liu, Hai Li
2023 A* conf
Disentangling Learning Representations with Density Estimation.
ICLR
Eric C. Yeats, Frank Y. Liu, Hai Helen Li
2023 J jnl
Disentangling Learning Representations with Density Estimation.
CoRR
Eric C. Yeats, Frank Liu, Hai Helen Li
2022 — conf
CMOS Implementation of Spiking Equilibrium Propagation for Real-Time Learning.
AICAS
Brady Taylor, Nicky Ramos, Eric C. Yeats, Hai Li
2022 — conf
NashAE: Disentangling Representations Through Adversarial Covariance Minimization.
ECCV (27)
Eric C. Yeats, Frank Liu, David Womble, Hai Helen Li
2022 J jnl
NashAE: Disentangling Representations through Adversarial Covariance Minimization.
CoRR
Eric C. Yeats, Frank Liu, David Womble, Hai Li
2021 A* conf
Improving Gradient Regularization using Complex-Valued Neural Networks.
ICML
Eric C. Yeats, Yiran Chen, Hai Li