Summary of Critiprefill: a Segment-wise Criticality-based Approach For Prefilling Acceleration in Llms, by Junlin Lv et al.
CritiPrefill: A Segment-wise Criticality-based Approach for Prefilling Acceleration in LLMsby Junlin Lv, Yuan Feng, Xike…
Summary of Unsupervised Domain Adaptation Via Data Pruning, by Andrea Napoli et al.
Unsupervised Domain Adaptation Via Data Pruningby Andrea Napoli, Paul WhiteFirst submitted to arxiv on: 18…
Summary of Multi-grid Graph Neural Networks with Self-attention For Computational Mechanics, by Paul Garnier and Jonathan Viquerat and Elie Hachem
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanicsby Paul Garnier, Jonathan Viquerat, Elie HachemFirst…
Summary of Cskv: Training-efficient Channel Shrinking For Kv Cache in Long-context Scenarios, by Luning Wang et al.
CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenariosby Luning Wang, Shiyao Li, Xuefei…
Summary of Safety-oriented Pruning and Interpretation Of Reinforcement Learning Policies, by Dennis Gross and Helge Spieker
Safety-Oriented Pruning and Interpretation of Reinforcement Learning Policiesby Dennis Gross, Helge SpiekerFirst submitted to arxiv…
Summary of Hesso: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning, by Tianyi Chen et al.
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruningby Tianyi Chen,…
Summary of An Efficient Privacy-aware Split Learning Framework For Satellite Communications, by Jianfei Sun et al.
An Efficient Privacy-aware Split Learning Framework for Satellite Communicationsby Jianfei Sun, Cong Wu, Shahid Mumtaz,…
Summary of Adaptive Error-bounded Hierarchical Matrices For Efficient Neural Network Compression, by John Mango and Ronald Katende
Adaptive Error-Bounded Hierarchical Matrices for Efficient Neural Network Compressionby John Mango, Ronald KatendeFirst submitted to…
Summary of Stun: Structured-then-unstructured Pruning For Scalable Moe Pruning, by Jaeseong Lee et al.
STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruningby Jaeseong Lee, seung-won hwang, Aurick Qiao, Daniel F…
Summary of Lamp: Learnable Meta-path Guided Adversarial Contrastive Learning For Heterogeneous Graphs, by Siqing Li et al.
LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphsby Siqing Li, Jin-Duk Park, Wei…