Imran Lab’s Paper Reading Group

Spring 2026 Paper Discussion

May 1, 2026: [N. Nayla], FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning

Apr 24, 2026: [T. Ward], Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures

Apr 17, 2026: [N. Munia], Language-Guided Image Tokenization for Generation

Apr 10, 2026: [N. Nayla], Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning

Apr 3, 2026: [T. Ward], Alzheimer’s Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion

Mar 27, 2026: [N. Munia], A multimodal vision foundation model for clinical dermatology

Mar 13, 2026: [N. Nayla], IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting

Mar 6, 2026: [T. Ward], Learning neuroimaging models from health system-scale data

Feb 27, 2026: [N. Munia], Multimodal Negative Learning

Feb 20, 2026: [N. Nayla], STAR: Stability-Inducing Weight Perturbation for Continual Learning

Feb 13, 2026: [T. Ward], A multi-view DTI feature fusion framework for enhanced diagnosis of Alzheimer’s disease

Feb 6, 2026: [N. Munia], Next-Embedding Prediction Makes Strong Vision Learners

Jan 30, 2026: [T. Ward], Common Pattern Prior-Driven Semi-Supervised Medical Image Segmentation

Jan 23, 2026: [N. Nayla], C-CLIP: Multimodal Continual Learning for Vision-Language Model

Jan 16, 2026: [N. Munia], mHC: Manifold-Constrained Hyper-Connections