Summary of Federated Unlearning with Gradient Descent and Conflict Mitigation, by Zibin Pan et al.
Federated Unlearning with Gradient Descent and Conflict Mitigationby Zibin Pan, Zhichao Wang, Chi Li, Kaiyan…
Summary of Extending Graph Condensation to Multi-label Datasets: a Benchmark Study, by Liangliang Zhang et al.
Extending Graph Condensation to Multi-Label Datasets: A Benchmark Studyby Liangliang Zhang, Haoran Bao, Yao MaFirst…
Summary of Never Reset Again: a Mathematical Framework For Continual Inference in Recurrent Neural Networks, by Bojian Yin et al.
Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networksby Bojian Yin,…
Summary of Achieving Group Fairness Through Independence in Predictive Process Monitoring, by Jari Peeperkorn and Simon De Vos
Achieving Group Fairness through Independence in Predictive Process Monitoringby Jari Peeperkorn, Simon De VosFirst submitted…
Summary of Lossval: Efficient Data Valuation For Neural Networks, by Tim Wibiral et al.
LossVal: Efficient Data Valuation for Neural Networksby Tim Wibiral, Mohamed Karim Belaid, Maximilian Rabus, Ansgar…
Summary of Noisy Ostracods: a Fine-grained, Imbalanced Real-world Dataset For Benchmarking Robust Machine Learning and Label Correction Methods, by Jiamian Hu et al.
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction…
Summary of Free Process Rewards Without Process Labels, by Lifan Yuan et al.
Free Process Rewards without Process Labelsby Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning…
Summary of Dependence Induced Representations, by Xiangxiang Xu et al.
Dependence Induced Representationsby Xiangxiang Xu, Lizhong ZhengFirst submitted to arxiv on: 22 Nov 2024CategoriesMain: Machine…
Summary of On the Way to Llm Personalization: Learning to Remember User Conversations, by Lucie Charlotte Magister et al.
On the Way to LLM Personalization: Learning to Remember User Conversationsby Lucie Charlotte Magister, Katherine…
Summary of Making Sigmoid-mse Great Again: Output Reset Challenges Softmax Cross-entropy in Neural Network Classification, by Kanishka Tyagi et al.
Making Sigmoid-MSE Great Again: Output Reset Challenges Softmax Cross-Entropy in Neural Network Classificationby Kanishka Tyagi,…