Summary of Graph Unlearning with Efficient Partial Retraining, by Jiahao Zhang et al.
Graph Unlearning with Efficient Partial Retrainingby Jiahao Zhang, Lin Wang, Shijie Wang, Wenqi FanFirst submitted…
Summary of Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning, by Mark D. Mcdonnell et al.
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learningby Mark D. McDonnell,…
Summary of Challenging Forgets: Unveiling the Worst-case Forget Sets in Machine Unlearning, by Chongyu Fan et al.
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearningby Chongyu Fan, Jiancheng Liu, Alfred…
Summary of Entropy Is Not Enough For Test-time Adaptation: From the Perspective Of Disentangled Factors, by Jonghyun Lee et al.
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factorsby Jonghyun Lee,…
Summary of Hallmarks Of Optimization Trajectories in Neural Networks: Directional Exploration and Redundancy, by Sidak Pal Singh et al.
Hallmarks of Optimization Trajectories in Neural Networks: Directional Exploration and Redundancyby Sidak Pal Singh, Bobby…
Summary of Svd-llm: Truncation-aware Singular Value Decomposition For Large Language Model Compression, by Xin Wang et al.
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compressionby Xin Wang, Yu Zheng, Zhongwei…
Summary of Smalltolarge (s2l): Scalable Data Selection For Fine-tuning Large Language Models by Summarizing Training Trajectories Of Small Models, By Yu Yang et al.
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of…
Summary of Knowledge Transfer Across Multiple Principal Component Analysis Studies, by Zeyu Li and Kangxiang Qin and Yong He and Wang Zhou and Xinsheng Zhang
Knowledge Transfer across Multiple Principal Component Analysis Studiesby Zeyu Li, Kangxiang Qin, Yong He, Wang…
Summary of Auxiliary Classifiers Improve Stability and Efficiency in Continual Learning, by Filip Szatkowski et al.
Auxiliary Classifiers Improve Stability and Efficiency in Continual Learningby Filip Szatkowski, Fei Yang, Bartłomiej Twardowski,…
Summary of Learning-augmented Algorithms with Explicit Predictors, by Marek Elias and Haim Kaplan and Yishay Mansour and Shay Moran
Learning-Augmented Algorithms with Explicit Predictorsby Marek Elias, Haim Kaplan, Yishay Mansour, Shay MoranFirst submitted to…