Summary of Graph Classification Via Reference Distribution Learning: Theory and Practice, by Zixiao Wang and Jicong Fan
Graph Classification via Reference Distribution Learning: Theory and Practiceby Zixiao Wang, Jicong FanFirst submitted to…
Summary of First Activations Matter: Training-free Methods For Dynamic Activation in Large Language Models, by Chi Ma et al.
First Activations Matter: Training-Free Methods for Dynamic Activation in Large Language Modelsby Chi Ma, Mincong…
Summary of A Little Confidence Goes a Long Way, by John Scoville et al.
A Little Confidence Goes a Long Wayby John Scoville, Shang Gao, Devanshu Agrawal, Javed Qadrud-DinFirst…
Summary of Security Assessment Of Hierarchical Federated Deep Learning, by D Alqattan et al.
Security Assessment of Hierarchical Federated Deep Learningby D Alqattan, R Sun, H Liang, G Nicosia,…
Summary of Integrating Multi-modal Input Token Mixer Into Mamba-based Decision Models: Decision Metamamba, by Wall Kim
Integrating Multi-Modal Input Token Mixer Into Mamba-Based Decision Models: Decision MetaMambaby Wall KimFirst submitted to…
Summary of Privacy-preserving Universal Adversarial Defense For Black-box Models, by Qiao Li et al.
Privacy-preserving Universal Adversarial Defense for Black-box Modelsby Qiao Li, Cong Wu, Jing Chen, Zijun Zhang,…
Summary of Learning Multimodal Latent Space with Ebm Prior and Mcmc Inference, by Shiyu Yuan et al.
Learning Multimodal Latent Space with EBM Prior and MCMC Inferenceby Shiyu Yuan, Carlo Lipizzi, Tian…
Summary of Increasing Transformer Token Length with a Maximum Entropy Principle Method, by R. I. Cukier
Increasing transformer token length with a Maximum Entropy Principle Methodby R. I. CukierFirst submitted to…
Summary of In-context Learning with Representations: Contextual Generalization Of Trained Transformers, by Tong Yang et al.
In-Context Learning with Representations: Contextual Generalization of Trained Transformersby Tong Yang, Yu Huang, Yingbin Liang,…
Summary of Attention Is Not What You Need: Revisiting Multi-instance Learning For Whole Slide Image Classification, by Xin Liu et al.
Attention Is Not What You Need: Revisiting Multi-Instance Learning for Whole Slide Image Classificationby Xin…