| Topology-Informed Graph Transformer | Feb 3, 2024 | Graph ClassificationGraph Regression | CodeCode Available | 1 |
| Convolutional Initialization for Data-Efficient Vision Transformers | Jan 23, 2024 | Inductive Bias | CodeCode Available | 1 |
| Exploring Diffusion Time-steps for Unsupervised Representation Learning | Jan 21, 2024 | Attributecounterfactual | CodeCode Available | 1 |
| Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement | Jan 1, 2024 | Image Quality AssessmentInductive Bias | CodeCode Available | 1 |
| Transformer-based No-Reference Image Quality Assessment via Supervised Contrastive Learning | Dec 12, 2023 | Contrastive LearningImage Quality Assessment | CodeCode Available | 1 |
| TimeDRL: Disentangled Representation Learning for Multivariate Time-Series | Dec 7, 2023 | Inductive BiasRepresentation Learning | CodeCode Available | 1 |
| Energy-based Potential Games for Joint Motion Forecasting and Control | Dec 4, 2023 | Inductive BiasMotion Forecasting | CodeCode Available | 1 |
| MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation | Dec 4, 2023 | Image SegmentationInductive Bias | CodeCode Available | 1 |
| ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation | Dec 4, 2023 | ImputationInductive Bias | CodeCode Available | 1 |
| Recurrent Distance Filtering for Graph Representation Learning | Dec 3, 2023 | Graph ClassificationGraph Representation Learning | CodeCode Available | 1 |
