Summary of Enhancing Power Quality Event Classification with Ai Transformer Models, by Ahmad Mohammad Saber et al.
Enhancing Power Quality Event Classification with AI Transformer Modelsby Ahmad Mohammad Saber, Amr Youssef, Davor…
Summary of In-context Learning Of a Linear Transformer Block: Benefits Of the Mlp Component and One-step Gd Initialization, by Ruiqi Zhang et al.
In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD…
Summary of Aptq: Attention-aware Post-training Mixed-precision Quantization For Large Language Models, by Ziyi Guan et al.
APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Modelsby Ziyi Guan, Hantao Huang, Yupeng Su,…
Summary of How Transformers Learn Causal Structure with Gradient Descent, by Eshaan Nichani et al.
How Transformers Learn Causal Structure with Gradient Descentby Eshaan Nichani, Alex Damian, Jason D. LeeFirst…
Summary of Prompting a Pretrained Transformer Can Be a Universal Approximator, by Aleksandar Petrov et al.
Prompting a Pretrained Transformer Can Be a Universal Approximatorby Aleksandar Petrov, Philip H.S. Torr, Adel…
Summary of Self-guided Masked Autoencoders For Domain-agnostic Self-supervised Learning, by Johnathan Xie et al.
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learningby Johnathan Xie, Yoonho Lee, Annie S. Chen, Chelsea…
Summary of A Temporal Stochastic Bias Correction Using a Machine Learning Attention Model, by Omer Nivron et al.
A Temporal Stochastic Bias Correction using a Machine Learning Attention modelby Omer Nivron, Damon J.…
Summary of Linear Transformers Are Versatile In-context Learners, by Max Vladymyrov et al.
Linear Transformers are Versatile In-Context Learnersby Max Vladymyrov, Johannes von Oswald, Mark Sandler, Rong GeFirst…
Summary of Comparing Graph Transformers Via Positional Encodings, by Mitchell Black et al.
Comparing Graph Transformers via Positional Encodingsby Mitchell Black, Zhengchao Wan, Gal Mishne, Amir Nayyeri, Yusu…
Summary of Attackgnn: Red-teaming Gnns in Hardware Security Using Reinforcement Learning, by Vasudev Gohil et al.
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learningby Vasudev Gohil, Satwik Patnaik, Dileep Kalathil,…