Summary of Exploring the Potential Of Large Language Models For Heterophilic Graphs, by Yuxia Wu et al.
Exploring the Potential of Large Language Models for Heterophilic Graphsby Yuxia Wu, Shujie Li, Yuan…
Summary of Exploiting Student Parallelism For Efficient Gpu Inference Of Bert-like Models in Online Services, by Weiyan Wang et al.
Exploiting Student Parallelism for Efficient GPU Inference of BERT-like Models in Online Servicesby Weiyan Wang,…
Summary of Llm Pruning and Distillation in Practice: the Minitron Approach, by Sharath Turuvekere Sreenivas et al.
LLM Pruning and Distillation in Practice: The Minitron Approachby Sharath Turuvekere Sreenivas, Saurav Muralidharan, Raviraj…
Summary of Lakd-activation Mapping Distillation Based on Local Learning, by Yaoze Zhang and Yuming Zhang and Yu Zhao and Yue Zhang and Feiyu Zhu
LAKD-Activation Mapping Distillation Based on Local Learningby Yaoze Zhang, Yuming Zhang, Yu Zhao, Yue Zhang,…
Summary of A Unified Framework For Continual Learning and Unlearning, by Romit Chatterjee et al.
A Unified Framework for Continual Learning and Unlearningby Romit Chatterjee, Vikram Chundawat, Ayush Tarun, Ankur…
Summary of Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation, By Md Fahim Sikder et al.
Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representationby Md Fahim Sikder, Resmi…
Summary of Adaptive Knowledge Distillation For Classification Of Hand Images Using Explainable Vision Transformers, by Thanh Thi Nguyen et al.
Adaptive Knowledge Distillation for Classification of Hand Images using Explainable Vision Transformersby Thanh Thi Nguyen,…
Summary of Importance-aware Adaptive Dataset Distillation, by Guang Li et al.
Importance-Aware Adaptive Dataset Distillationby Guang Li, Ren Togo, Takahiro Ogawa, Miki HaseyamaFirst submitted to arxiv…