Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problemby…
Surge Phenomenon in Optimal Learning Rate and Batch Size Scalingby Shuaipeng Li, Penghao Zhao, Hailin…
Unleashing the Power of Unlabeled Data: A Self-supervised Learning Framework for Cyber Attack Detection in…
Scaling-laws for Large Time-series Modelsby Thomas D. P. Edwards, James Alvey, Justin Alsing, Nam H.…
Learning Latent Space Hierarchical EBM Diffusion Modelsby Jiali Cui, Tian HanFirst submitted to arxiv on:…
Attention Mechanisms Don’t Learn Additive Models: Rethinking Feature Importance for Transformersby Tobias Leemann, Alina Fastowski,…
The Evolution of Darija Open Dataset: Introducing Version 2by Aissam Outchakoucht, Hamza Es-SamaaliFirst submitted to…
Transformer in Touch: A Surveyby Jing Gao, Ning Cheng, Bin Fang, Wenjuan HanFirst submitted to…
Beyond MLE: Investigating SEARNN for Low-Resourced Neural Machine Translationby Chris EmezueFirst submitted to arxiv on:…
Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniquesby Siva Rajesh…