9 accepted papers
Agent planning faces dynamic heterogeneity—nonstationary observations, dynamics, and objectives with sparse, delayed rewards—which dominant methods largely ignore, leading to poor generalization under environment shifts. We propose Flow-Matching for Agent Planning (FlowMAP), which formulates plannin…
Given the increasing prevalence of deep learning applications in dermatological disease diagnosis, the pursuit of diagnostic accuracy needs to be accompanied by a focus on decision-making fairness to avoid unfair discrimination against under-represented demographic groups. This requires a tradeoff b…
Recommendation systems enhance user experience and retention by offering personalized content. As they increasingly influence social resource allocation (e.g., job recommendations), ensuring fair recommendations is becoming essential. Fairness notions in recommendation systems are mainly divided int…
Unnatural text correction aims to automatically detect and correct spelling errors or adversarial perturbation errors in sentences. Existing methods typically rely on fine-tuning or adversarial training to correct errors, which have achieved significant success. However, these methods exhibit poor g…
Current Pose-Guided Person Image Synthesis (PGPIS) methods depend heavily on large amounts of labeled triplet data to train the generator in a supervised manner. However, they often falter when applied to in-the-wild samples, primarily due to the distribution gap between the training datasets and re…
Nowadays, numerous online platforms can be described as multi-modal heterogeneous networks (MMHNs), such as Douban's movie networks and Amazon's product review networks. Accurately categorizing nodes within these networks is crucial for analyzing the corresponding entities, which requires effective
Multimodal Sentiment Analysis (MSA) utilizes multimodal data to infer the users’ sentiment. Previous methods focus on equally treating the contribution of each modality or statically using text as the dominant modality to conduct interaction, which neglects the situation where each modality may beco…
Recent PointNet-family hand pose methods have the advantages of high pose estimation performance and small model size, and it is a key problem to get effective sample points for PointNet-family methods. In this paper, we propose a two-stage coarse to fine hand pose estimation method, which belongs t…
Age is an important biometric feature of human face. Estimating the specific age of facial images is challenging, because of face aging's highly nonlinearity and randomness. Commonly age predictors are based on classification or regression method, which may be affected greatly by the category number…