Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Boundsby Xiao Li, Jaemoon…
A Survey on Mixup Augmentations and Beyondby Xin Jin, Hongyu Zhu, Siyuan Li, Zedong Wang,…
Theory, Analysis, and Best Practices for Sigmoid Self-Attentionby Jason Ramapuram, Federico Danieli, Eeshan Dhekane, Floris…
AttentionX: Exploiting Consensus Discrepancy In Attention from A Distributed Optimization Perspectiveby Guoqiang Zhang, Richard HeusdensFirst…
Massive Activations in Graph Neural Networks: Decoding Attention for Domain-Dependent Interpretabilityby Lorenzo Bini, Marco Sorbi,…
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentationby Prerak Mody, Nicolas F. Chaves-de-Plaza, Chinmay…
An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learningby Christopher AmatoFirst…
Probing self-attention in self-supervised speech models for cross-linguistic differencesby Sai Gopinath, Joselyn RodriguezFirst submitted to…
PuYun: Medium-Range Global Weather Forecasting Using Large Kernel Attention Convolutional Networksby Shengchen Zhu, Yiming Chen,…
A Multimodal Object-level Contrast Learning Method for Cancer Survival Risk Predictionby Zekang Yang, Hong Liu,…