Summary of Chain Of Attack: a Semantic-driven Contextual Multi-turn Attacker For Llm, by Xikang Yang et al.
Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLMby Xikang Yang, Xuehai Tang, Songlin…
Summary of Privacy-preserving Edge Federated Learning For Intelligent Mobile-health Systems, by Amin Aminifar et al.
Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systemsby Amin Aminifar, Matin Shokri, Amir AminifarFirst submitted…
Summary of An Automatic Prompt Generation System For Tabular Data Tasks, by Ashlesha Akella et al.
An Automatic Prompt Generation System for Tabular Data Tasksby Ashlesha Akella, Abhijit Manatkar, Brij Chavda,…
Summary of Rectified Gaussian Kernel Multi-view K-means Clustering, by Kristina P. Sinaga
Rectified Gaussian kernel multi-view k-means clusteringby Kristina P. SinagaFirst submitted to arxiv on: 9 May…
Summary of Memory-space Visual Prompting For Efficient Vision-language Fine-tuning, by Shibo Jie et al.
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuningby Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng,…
Summary of Policy Gradient with Active Importance Sampling, by Matteo Papini et al.
Policy Gradient with Active Importance Samplingby Matteo Papini, Giorgio Manganini, Alberto Maria Metelli, Marcello RestelliFirst…
Summary of Outlier-robust Kalman Filtering Through Generalised Bayes, by Gerardo Duran-martin et al.
Outlier-robust Kalman Filtering through Generalised Bayesby Gerardo Duran-Martin, Matias Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt,…
Summary of Imprecise Multi-armed Bandits, by Vanessa Kosoy
Imprecise Multi-Armed Banditsby Vanessa KosoyFirst submitted to arxiv on: 9 May 2024CategoriesMain: Machine Learning (cs.LG)Secondary:…
Summary of Subgdiff: a Subgraph Diffusion Model to Improve Molecular Representation Learning, by Jiying Zhang et al.
SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learningby Jiying Zhang, Zijing Liu, Yu…
Summary of Aux-nas: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost, by Yuan Gao et al.
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Costby Yuan Gao, Weizhong Zhang, Wenhan Luo,…