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Found 7 papers, 2 papers with code
Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation
Motivated by these, we explore the impact of the inherent preference in LLMs on providing emotional support, and consequently, we observe that exhibiting high preference for specific strategies hinders effective emotional support, aggravating its robustness in predicting the appropriate strategy.
MediViSTA-SAM: Zero-shot Medical Video Analysis with Spatio-temporal SAM Adaptation for Echocardiography
The Segmentation Anything Model (SAM) has gained significant attention for its robust generalization capabilities across diverse downstream tasks.
How to Mask in Error Correction Code Transformer: Systematic and Double Masking
In communication and storage systems, error correction codes (ECCs) are pivotal in ensuring data reliability.
Texture Learning Domain Randomization for Domain Generalized Segmentation
TLDR includes two novel losses to effectively enhance texture learning in DGSS: (1) a texture regularization loss to prevent overfitting to source domain textures by using texture features from an ImageNet pre-trained model and (2) a texture generalization loss that utilizes random style images to learn diverse texture representations in a self-supervised manner.
A Deep Learning Approach for Mobility-Aware and Energy-Efficient Resource Allocation in MEC
We compare our proposed algorithms with other resource allocation approaches and show that our approach can handle the dynamic load conditions better.
Accelerated Training for CNN Distributed Deep Learning through Automatic Resource-Aware Layer Placement
Through analysis of the characteristics of CNN, we find that placement of layers can be done in an effective manner.
Distributed, Parallel, and Cluster Computing
