MoveLight: Enhancing Traffic Signal Control through Movement-Centric Deep Reinforcement Learningby Junqi Shao, Chenhao Zheng, Yuxuan…
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inferenceby Jian…
Towards Robust Knowledge Tracing Models via k-Sparse Attentionby Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi…
NarrationDep: Narratives on Social Media For Automatic Depression Detectionby Hamad Zogan, Imran Razzak, Shoaib Jameel,…
Wasserstein Distributionally Robust Shallow Convex Neural Networksby Julien Pallage, Antoine Lesage-LandryFirst submitted to arxiv on:…
GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learningby Zehui Li, Vallijah Subasri, Guy-Bart Stan,…
Adaptive Gradient Regularization: A Faster and Generalizable Optimization Technique for Deep Neural Networksby Huixiu Jiang,…
Conformally Natural Families of Probability Distributions on Hyperbolic Disc with a View on Geometric Deep…
Forecasting Automotive Supply Chain Shortfalls with Heterogeneous Time Seriesby Bach Viet Do, Xingyu Li, Chaoye…
Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labelsby Jae Soon Baik, In Young Yoon,…