Summary of Few-shot Model Extraction Attacks Against Sequential Recommender Systems, by Hui Zhang et al.
Few-shot Model Extraction Attacks against Sequential Recommender Systemsby Hui Zhang, Fu LiuFirst submitted to arxiv…
Summary of A Pre-trained Graph-based Model For Adaptive Sequencing Of Educational Documents, by Jean Vassoyan (cb) et al.
A Pre-Trained Graph-Based Model for Adaptive Sequencing of Educational Documentsby Jean Vassoyan, Anan Schütt, Jill-Jênn…
Summary of Efficient, Low-regret, Online Reinforcement Learning For Linear Mdps, by Philips George John et al.
Efficient, Low-Regret, Online Reinforcement Learning for Linear MDPsby Philips George John, Arnab Bhattacharyya, Silviu Maniu,…
Summary of Safes: Sequential Privacy and Fairness Enhancing Data Synthesis For Responsible Ai, by Spencer Giddens et al.
SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AIby Spencer Giddens, Fang LiuFirst…
Summary of Drone Detection Using Deep Neural Networks Trained on Pure Synthetic Data, by Mariusz Wisniewski et al.
Drone Detection using Deep Neural Networks Trained on Pure Synthetic Databy Mariusz Wisniewski, Zeeshan A.…
Summary of Score-based Generative Diffusion with “active” Correlated Noise Sources, by Alexandra Lamtyugina et al.
Score-based generative diffusion with “active” correlated noise sourcesby Alexandra Lamtyugina, Agnish Kumar Behera, Aditya Nandy,…
Summary of Synrl: Aligning Synthetic Clinical Trial Data with Human-preferred Clinical Endpoints Using Reinforcement Learning, by Trisha Das et al.
SynRL: Aligning Synthetic Clinical Trial Data with Human-preferred Clinical Endpoints Using Reinforcement Learningby Trisha Das,…
Summary of Synthesize, Partition, Then Adapt: Eliciting Diverse Samples From Foundation Models, by Yeming Wen et al.
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Modelsby Yeming Wen, Swarat ChaudhuriFirst submitted…
Summary of Dnamite: Interpretable Calibrated Survival Analysis with Discretized Additive Models, by Mike Van Ness et al.
DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Modelsby Mike Van Ness, Billy Block, Madeleine…
Summary of Differential Privacy Under Class Imbalance: Methods and Empirical Insights, by Lucas Rosenblatt et al.
Differential Privacy Under Class Imbalance: Methods and Empirical Insightsby Lucas Rosenblatt, Yuliia Lut, Eitan Turok,…