Summary of Bridging State and History Representations: Understanding Self-predictive Rl, by Tianwei Ni et al.
Bridging State and History Representations: Understanding Self-Predictive RLby Tianwei Ni, Benjamin Eysenbach, Erfan Seyedsalehi, Michel…
Summary of Rethinking Impersonation and Dodging Attacks on Face Recognition Systems, by Fengfan Zhou et al.
Rethinking Impersonation and Dodging Attacks on Face Recognition Systemsby Fengfan Zhou, Qianyu Zhou, Bangjie Yin,…
Summary of A Context-contrastive Inference Approach to Partial Diacritization, by Muhammad Elnokrashy et al.
A Context-Contrastive Inference Approach To Partial Diacritizationby Muhammad ElNokrashy, Badr AlKhamissiFirst submitted to arxiv on:…
Summary of Delf: Designing Learning Environments with Foundation Models, by Aida Afshar et al.
DeLF: Designing Learning Environments with Foundation Modelsby Aida Afshar, Wenchao LiFirst submitted to arxiv on:…
Summary of Cel: a Continual Learning Model For Disease Outbreak Prediction by Leveraging Domain Adaptation Via Elastic Weight Consolidation, By Saba Aslam et al.
CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic…
Summary of Towards Off-policy Reinforcement Learning For Ranking Policies with Human Feedback, by Teng Xiao et al.
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedbackby Teng Xiao, Suhang WangFirst submitted…
Summary of Act-gan: Radio Map Construction Based on Generative Adversarial Networks with Act Blocks, by Chen Qi et al.
ACT-GAN: Radio map construction based on generative adversarial networks with ACT blocksby Chen Qi, Yang…
Summary of Cascading Reinforcement Learning, by Yihan Du et al.
Cascading Reinforcement Learningby Yihan Du, R. Srikant, Wei ChenFirst submitted to arxiv on: 17 Jan…
Summary of Fedloge: Joint Local and Generic Federated Learning Under Long-tailed Data, by Zikai Xiao et al.
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Databy Zikai Xiao, Zihan Chen, Liyinglan…
Summary of A Gan-based Data Poisoning Framework Against Anomaly Detection in Vertical Federated Learning, by Xiaolin Chen et al.
A GAN-based data poisoning framework against anomaly detection in vertical federated learningby Xiaolin Chen, Daoguang…