Rui Luo

Semantic Embedded Deep Neural Network: A Generic Approach to Boost Multi-Label Image Classification Performance

2023 · arXiv (Cornell University)

Fine-grained multi-label classification models have broad applications in e-commerce, such as visual based label predictions ranging from fashion attribute detection to brand recognition. One challenge to achieve satisfactory performance for those classification tasks in real …

Adaptive Conformal Inference by Particle Filtering under Hidden Markov Models

2024 · arXiv (Cornell University)

Conformal inference is a statistical method used to construct prediction sets for point predictors, providing reliable uncertainty quantification with probability guarantees. This method utilizes historical labeled data to estimate the conformity or nonconformity between predictions …