Summary of An In-depth Investigation Of Sparse Rate Reduction in Transformer-like Models, by Yunzhe Hu et al.
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Modelsby Yunzhe Hu, Difan Zou, Dong…
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Modelsby Yunzhe Hu, Difan Zou, Dong…
IterIS: Iterative Inference-Solving Alignment for LoRA Mergingby Hongxu Chen, Runshi Li, Bowei Zhu, Zhen Wang,…
Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in…
K-GBS3FCM – KNN Graph-Based Safe Semi-Supervised Fuzzy C-Meansby Gabriel Santos, Rita Julia, Marcelo NascimentoFirst submitted…
Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networksby Sanchar…
CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularizationby Nay Myat Min, Long…
Implicit Regularization for Multi-label Feature Selectionby Dou El Kefel Mansouri, Khalid Benabdeslem, Seif-Eddine BenkabouFirst submitted…
A Regularized LSTM Method for Detecting Fake News Articlesby Tanjina Sultana Camelia, Faizur Rahman Fahim,…
Rethinking Weight-Averaged Model-mergingby Hu Wang, Congbo Ma, Ibrahim Almakky, Ian Reid, Gustavo Carneiro, Mohammad YaqubFirst…
Spatially Regularized Graph Attention Autoencoder Framework for Detecting Rainfall Extremesby Mihir Agarwal, Progyan Das, Udit…