Summary of Generalization Vs. Memorization in the Presence Of Statistical Biases in Transformers, by John Mitros
Generalization vs. Memorization in the Presence of Statistical Biases in Transformersby John MitrosFirst submitted to arxiv…
Generalization vs. Memorization in the Presence of Statistical Biases in Transformersby John MitrosFirst submitted to arxiv…
Theory, Analysis, and Best Practices for Sigmoid Self-Attentionby Jason Ramapuram, Federico Danieli, Eeshan Dhekane, Floris…
Residual Stream Analysis with Multi-Layer SAEsby Tim Lawson, Lucy Farnik, Conor Houghton, Laurence AitchisonFirst submitted…
Leveraging Interpretability in the Transformer to Automate the Proactive Scaling of Cloud Resourcesby Amadou Ba,…
Probing self-attention in self-supervised speech models for cross-linguistic differencesby Sai Gopinath, Joselyn RodriguezFirst submitted to…
Addressing the Gaps in Early Dementia Detection: A Path Towards Enhanced Diagnostic Models through Machine…
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problemby Constantin Waubert…
TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Modelby Defu Cao, Wen Ye, Yizhou Zhang,…
The Role of Transformer Models in Advancing Blockchain Technology: A Systematic Surveyby Tianxu Liu, Yanbin…
Unforgettable Generalization in Language Modelsby Eric Zhang, Leshem Chosen, Jacob AndreasFirst submitted to arxiv on:…