SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanismby Priyansh Bhatnagar, Linfeng Wen,…
Federated Domain Generalization via Prompt Learning and Aggregationby Shuai Gong, Chaoran Cui, Chunyun Zhang, Wenna…
Evidential Federated Learning for Skin Lesion Image Classificationby Rutger Hendrix, Federica Proietto Salanitri, Concetto Spampinato,…
A Low-Resolution Image is Worth 1x1 Words: Enabling Fine Image Super-Resolution with Transformers and TaylorShiftby…
On the Surprising Effectiveness of Attention Transfer for Vision Transformersby Alexander C. Li, Yuandong Tian,…
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learningby Ke Xu,…
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformersby Shravan Venkatraman, Jaskaran…
Reducing Reasoning Costs: The Path of Optimization for Chain of Thought via Sparse Attention Mechanismby…
GRAINRec: Graph and Attention Integrated Approach for Real-Time Session-Based Item Recommendationsby Bhavtosh Rath, Pushkar Chennu,…
TRACE: Transformer-based Risk Assessment for Clinical Evaluationby Dionysis Christopoulos, Sotiris Spanos, Valsamis Ntouskos, Konstantinos KarantzalosFirst…