18 citations · 29 across the 6 of their papers we have counts for
6 papers
SR-OOD: Out-of-Distribution Detection via Sample Repairing
Rui Sun, Andi Zhang, Haiming Zhang +5
Out-of-distribution (OOD) detection is a crucial task for ensuring the reliability and robustness of machine learning models. Recent works have shown that generative models often a…
Falsehoods that ML researchers believe about OOD detection
Andi Zhang, Damon Wischik
An intuitive way to detect out-of-distribution (OOD) data is via the density function of a fitted probabilistic generative model: points with low density may be classed as OOD. But…
Out-of-Distribution Detection with Class Ratio Estimation
Mingtian Zhang, Andi Zhang, Tim Z. Xiao +2
Density-based Out-of-distribution (OOD) detection has recently been shown unreliable for the task of detecting OOD images. Various density ratio based approaches achieve good empir…
On the Out-of-distribution Generalization of Probabilistic Image Modelling
Mingtian Zhang, Andi Zhang, Steven McDonagh
Out-of-distribution (OOD) detection and lossless compression constitute two problems that can be solved by the training of probabilistic models on a first dataset with subsequent l…
Memory-augmented Neural Machine Translation
Yang Feng, Shiyue Zhang, Andi Zhang +2
Neural machine translation (NMT) has achieved notable success in recent times, however it is also widely recognized that this approach has limitations with handling infrequent word…
Flexible and Creative Chinese Poetry Generation Using Neural Memory
Jiyuan Zhang, Yang Feng, Dong Wang +4
It has been shown that Chinese poems can be successfully generated by sequence-to-sequence neural models, particularly with the attention mechanism. A potential problem of this app…