Summary of Rethinking the Effectiveness Of Graph Classification Datasets in Benchmarks For Assessing Gnns, by Zhengdao Li et al.
Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNsby Zhengdao Li, Yong…
Summary of Lora-ga: Low-rank Adaptation with Gradient Approximation, by Shaowen Wang et al.
LoRA-GA: Low-Rank Adaptation with Gradient Approximationby Shaowen Wang, Linxi Yu, Jian LiFirst submitted to arxiv…
Summary of Personalized Federated Domain-incremental Learning Based on Adaptive Knowledge Matching, by Yichen Li et al.
Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matchingby Yichen Li, Wenchao Xu, Haozhao Wang,…
Summary of Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers For Sleep Health, by Songchi Zhou et al.
Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers for Sleep Healthby…
Summary of Spikellm: Scaling Up Spiking Neural Network to Large Language Models Via Saliency-based Spiking, by Xingrun Xing et al.
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spikingby Xingrun Xing,…
Summary of Spinex: Similarity-based Predictions with Explainable Neighbors Exploration For Anomaly and Outlier Detection, by Mz Naser et al.
SPINEX: Similarity-based Predictions with Explainable Neighbors Exploration for Anomaly and Outlier Detectionby MZ Naser, Ahmed…
Summary of Agnostic Private Density Estimation For Gmms Via List Global Stability, by Mohammad Afzali et al.
Agnostic Private Density Estimation for GMMs via List Global Stabilityby Mohammad Afzali, Hassan Ashtiani, Christopher…
Summary of Re-tuning: Overcoming the Compositionality Limits Of Large Language Models with Recursive Tuning, by Eric Pasewark et al.
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuningby Eric Pasewark, Kyle…
Summary of Revealing the Utilized Rank Of Subspaces Of Learning in Neural Networks, by Isha Garg et al.
Revealing the Utilized Rank of Subspaces of Learning in Neural Networksby Isha Garg, Christian Koguchi,…
Summary of The Impact Of Quantization and Pruning on Deep Reinforcement Learning Models, by Heng Lu et al.
The Impact of Quantization and Pruning on Deep Reinforcement Learning Modelsby Heng Lu, Mehdi Alemi,…