Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesisby Xiwen Chen, Sayed…
Pretrained transformer efficiently learns low-dimensional target functions in-contextby Kazusato Oko, Yujin Song, Taiji Suzuki, Denny…
A Directional Rockafellar-Uryasev Regressionby Alberto ArlettiFirst submitted to arxiv on: 4 Nov 2024CategoriesMain: Machine Learning…
Enhancing Risk Assessment in Transformers with Loss-at-Risk Functionsby Jinghan Zhang, Henry Xie, Xinhao Zhang, Kunpeng…
Dynamic Weight Adjusting Deep Q-Networks for Real-Time Environmental Adaptationby Xinhao Zhang, Jinghan Zhang, Wujun Si,…
The Intersectionality Problem for Algorithmic Fairnessby Johannes Himmelreich, Arbie Hsu, Kristian Lum, Ellen VeomettFirst submitted…
MM-Embed: Universal Multimodal Retrieval with Multimodal LLMsby Sheng-Chieh Lin, Chankyu Lee, Mohammad Shoeybi, Jimmy Lin,…
Multi-Agent Decision Transformers for Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big Databy Xian…
ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopyby Kian Kenyon-Dean, Zitong Jerry Wang, John…
Social Support Detection from Social Media Textsby Zahra Ahani, Moein Shahiki Tash, Fazlourrahman Balouchzahi, Luis…