Nanyang Ye

11

Papers

47

Total Citations

Papers (11)

G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection

Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks

NeurIPS 2017arXiv

Domain Invariant Learning for Gaussian Processes and Bayesian Exploration

Decision SpikeFormer: Spike-Driven Transformer for Decision Making

OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization

NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization

OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary

CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection

Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance

Adversarial Invariant Learning

Bayesian Adversarial Learning