Summary of Enhancing Transformer Rnns with Multiple Temporal Perspectives, by Razvan-gabriel Dumitru et al.
Enhancing Transformer RNNs with Multiple Temporal Perspectivesby Razvan-Gabriel Dumitru, Darius Peteleaza, Mihai SurdeanuFirst submitted to…
Enhancing Transformer RNNs with Multiple Temporal Perspectivesby Razvan-Gabriel Dumitru, Darius Peteleaza, Mihai SurdeanuFirst submitted to…
Arithmetic in Transformers Explainedby Philip Quirke, Clement Neo, Fazl BarezFirst submitted to arxiv on: 4…
DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averagingby Matteo Pagliardini, Amirkeivan Mohtashami, Francois…
BECLR: Batch Enhanced Contrastive Few-Shot Learningby Stylianos Poulakakis-Daktylidis, Hadi Jamali-RadFirst submitted to arxiv on: 4…
LQER: Low-Rank Quantization Error Reconstruction for LLMsby Cheng Zhang, Jianyi Cheng, George A. Constantinides, Yiren…
Breaking MLPerf Training: A Case Study on Optimizing BERTby Yongdeok Kim, Jaehyung Ahn, Myeongwoo Kim,…
Surfing the modeling of PoS taggers in low-resource scenariosby Manuel Vilares Ferro, VĂctor M. Darriba…
On the Role of Initialization on the Implicit Bias in Deep Linear Networksby Oria Gruber,…
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)by Junhua Zeng,…
Review of multimodal machine learning approaches in healthcareby Felix Krones, Umar Marikkar, Guy Parsons, Adam…