3 accepted papers
Single-cell perturbation screens enable systematic discovery of gene regulatory mechanisms, yet the exponential expansion of perturbation space makes comprehensive experimentation impractical. Although in silico predictors have been increasingly proposed to address this challenge, most existing meth
Recent state-of-the-art zero-shot cross-lingual spoken language understanding (SLU) models utilize contrastive learning to achieve multilingual semantics alignment between the original utterance and code-switched counterpart. Despite achieving promising results, we discover that they still suffer fr…
Multi-label learning (MLL) requires comprehensive multi-semantic annotations that is hard to fully obtain, thus often resulting in missing labels scenarios. In this paper, we investigate Single Positive Multi-label Learning (SPML), where each image is associated with merely one positive label. Exist…