7 accepted papers
We propose a novel framework for data-efficient black-box robot learning under constraints. Our approach integrates probabilistic inference with Lagrangian optimization. With the guide of a learned Gaussian process model, the Lagrange multiplier is controlled by the probability of whether the constr
We propose a novel framework for data-efficient black-box robot learning under constraints. Our approach integrates probabilistic inference with Lagrangian optimization. With the guide of a learned Gaussian process model, the Lagrange multiplier is controlled by the probability of whether the constr…
Multimodal sentiment analysis (MSA) seeks to infer human emotions by integrating heterogeneous signals from text, audio, and visual modalities.Although recent approaches attempt to leverage cross-modal complementarity, they often struggle to fully utilize weaker modalities.In practice, the expressiv
Multimodal Sentiment Analysis (MSA) seeks to understand human emotions by integrating textual, acoustic, and visual signals. Although multimodal fusion is designed to leverage cross-modal complementarity, real-world scenarios often exhibit modality competition: dominant modalities tend to overshadow
Previous multimodal sentence representation learning methods have achieved impressive performance. However, most approaches focus on aligning images and text at a coarse level, facing two critical challenges: cross-modal misalignment bias and intra-modal semantic divergence, which significantly degr…
Unsupervised sentence embedding learning excels through positive sample construction and instance-level contrastive learning (ICL). However, this approach can lead to over-compression and dimensional contamination from noisy data augmentation and unconstrained ICL processes. To mitigate these issues…
Stance detection, which aims to identify public opinion towards specific targets using social media data, is an important yet challenging task. With the increasing number of online debates among social media users, conversational stance detection has become a crucial research area. However, existing…