Summary of Mep: Multiple Kernel Learning Enhancing Relative Positional Encoding Length Extrapolation, by Weiguo Gao
MEP: Multiple Kernel Learning Enhancing Relative Positional Encoding Length Extrapolationby Weiguo GaoFirst submitted to arxiv…
Summary of Improving Sampling Methods For Fine-tuning Sentencebert in Text Streams, by Cristiano Mesquita Garcia et al.
Improving Sampling Methods for Fine-tuning SentenceBERT in Text Streamsby Cristiano Mesquita Garcia, Alessandro Lameiras Koerich,…
Summary of Logits Of Api-protected Llms Leak Proprietary Information, by Matthew Finlayson et al.
Logits of API-Protected LLMs Leak Proprietary Informationby Matthew Finlayson, Xiang Ren, Swabha SwayamdiptaFirst submitted to…
Summary of Uncertainty Quantification For Cross-subject Motor Imagery Classification, by Prithviraj Manivannan et al.
Uncertainty Quantification for cross-subject Motor Imagery classificationby Prithviraj Manivannan, Ivo Pascal de Jong, Matias Valdenegro-Toro,…
Summary of Implicit Regularization Of Gradient Flow on One-layer Softmax Attention, by Heejune Sheen et al.
Implicit Regularization of Gradient Flow on One-Layer Softmax Attentionby Heejune Sheen, Siyu Chen, Tianhao Wang,…
Summary of On the Origins Of Linear Representations in Large Language Models, by Yibo Jiang et al.
On the Origins of Linear Representations in Large Language Modelsby Yibo Jiang, Goutham Rajendran, Pradeep…
Summary of Taylorshift: Shifting the Complexity Of Self-attention From Squared to Linear (and Back) Using Taylor-softmax, by Tobias Christian Nauen et al.
TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-Softmaxby Tobias…
Summary of A Theoretical Analysis Of Self-supervised Learning For Vision Transformers, by Yu Huang et al.
A Theoretical Analysis of Self-Supervised Learning for Vision Transformersby Yu Huang, Zixin Wen, Yuejie Chi,…
Summary of Indirectly Parameterized Concrete Autoencoders, by Alfred Nilsson et al.
Indirectly Parameterized Concrete Autoencodersby Alfred Nilsson, Klas Wijk, Sai bharath chandra Gutha, Erik Englesson, Alexandra…
Summary of Training Dynamics Of Multi-head Softmax Attention For In-context Learning: Emergence, Convergence, and Optimality, by Siyu Chen et al.
Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimalityby Siyu Chen,…