| Multi-Task Learning as Multi-Objective Optimization | Oct 10, 2018 | Depth EstimationGeneral Classification | CodeCode Available | 2 |
| Crystal Diffusion Variational Autoencoder for Periodic Material Generation | Oct 12, 2021 | DecoderInductive Bias | CodeCode Available | 1 |
| Cross Aggregation Transformer for Image Restoration | Nov 24, 2022 | Image RestorationInductive Bias | CodeCode Available | 1 |
| CSformer: Bridging Convolution and Transformer for Compressive Sensing | Dec 31, 2021 | Compressive SensingInductive Bias | CodeCode Available | 1 |
| Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation | Jul 22, 2022 | DecoderFew-Shot Semantic Segmentation | CodeCode Available | 1 |
| AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation | May 18, 2022 | Inductive BiasSequential Recommendation | CodeCode Available | 1 |
| CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation | Mar 4, 2021 | Image SegmentationInductive Bias | CodeCode Available | 1 |
| AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification | Jun 26, 2025 | Brain Computer InterfaceEEG | CodeCode Available | 1 |
| Correlation Loss: Enforcing Correlation between Classification and Localization | Jan 3, 2023 | ClassificationInductive Bias | CodeCode Available | 1 |
| Approximately Equivariant Networks for Imperfectly Symmetric Dynamics | Jan 28, 2022 | Inductive Bias | CodeCode Available | 1 |
| A Light Recipe to Train Robust Vision Transformers | Sep 15, 2022 | Adversarial RobustnessData Augmentation | CodeCode Available | 1 |
| Cross-Domain Few-Shot Classification via Adversarial Task Augmentation | Apr 29, 2021 | ClassificationCross-Domain Few-Shot | CodeCode Available | 1 |
| Cost Aggregation Is All You Need for Few-Shot Segmentation | Dec 22, 2021 | AllDecoder | CodeCode Available | 1 |
| Counterexample-Guided Learning of Monotonic Neural Networks | Jun 16, 2020 | Inductive Bias | CodeCode Available | 1 |
| Cumulative Spatial Knowledge Distillation for Vision Transformers | Jul 17, 2023 | Inductive BiasKnowledge Distillation | CodeCode Available | 1 |
| Contrastive Syn-to-Real Generalization | Apr 6, 2021 | DiversityDomain Generalization | CodeCode Available | 1 |
| Contrastive Prototypical Network with Wasserstein Confidence Penalty | Oct 21, 2022 | Contrastive LearningFew-Shot Learning | CodeCode Available | 1 |
| Convolutional Bypasses Are Better Vision Transformer Adapters | Jul 14, 2022 | Few-Shot LearningInductive Bias | CodeCode Available | 1 |
| A Generalization of Transformer Networks to Graphs | Dec 17, 2020 | Graph RegressionInductive Bias | CodeCode Available | 1 |
| A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication | Aug 10, 2021 | Inductive Bias | CodeCode Available | 1 |
| Container: Context Aggregation Networks | Dec 1, 2021 | Inductive BiasInstance Segmentation | CodeCode Available | 1 |
| Convolutional Initialization for Data-Efficient Vision Transformers | Jan 23, 2024 | Inductive Bias | CodeCode Available | 1 |
| Compressing Features for Learning with Noisy Labels | Jun 27, 2022 | Feature CompressionFeature Importance | CodeCode Available | 1 |
| Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks | Dec 1, 2022 | Inductive Bias | CodeCode Available | 1 |
| Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases | Feb 13, 2024 | DenoisingInductive Bias | CodeCode Available | 1 |
