Summary of Attention Is All You Need For Boosting Graph Convolutional Neural Network, by Yinwei Wu
Attention is all you need for boosting graph convolutional neural networkby Yinwei WuFirst submitted to…
Attention is all you need for boosting graph convolutional neural networkby Yinwei WuFirst submitted to…
Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfacesby Yejia Liu, Shijin Duan,…
KnFu: Effective Knowledge Fusionby S. Jamal Seyedmohammadi, S. Kawa Atapour, Jamshid Abouei, Arash MohammadiFirst submitted…
Self-Supervised Quantization-Aware Knowledge Distillationby Kaiqi Zhao, Ming ZhaoFirst submitted to arxiv on: 17 Mar 2024CategoriesMain:…
FlyKD: Graph Knowledge Distillation on the Fly with Curriculum Learningby Eugene KuFirst submitted to arxiv…
LookALike: Human Mimicry based collaborative decision makingby Rabimba Karanjai, Weidong ShiFirst submitted to arxiv on:…
Training Self-localization Models for Unseen Unfamiliar Places via Teacher-to-Student Data-Free Knowledge Transferby Kenta Tsukahara, Kanji…
Recurrent Drafter for Fast Speculative Decoding in Large Language Modelsby Yunfei Cheng, Aonan Zhang, Xuanyu…
LIX: Implicitly Infusing Spatial Geometric Prior Knowledge into Visual Semantic Segmentation for Autonomous Drivingby Sicen…
Low-Energy On-Device Personalization for MCUsby Yushan Huang, Ranya Aloufi, Xavier Cadet, Yuchen Zhao, Payam Barnaghi,…