Summary of Continuous-time Risk-sensitive Reinforcement Learning Via Quadratic Variation Penalty, by Yanwei Jia
Continuous-time Risk-sensitive Reinforcement Learning via Quadratic Variation Penaltyby Yanwei JiaFirst submitted to arxiv on: 19…
Summary of Qute: Quantifying Uncertainty in Tinyml with Early-exit-assisted Ensembles For Model-monitoring, by Nikhil P Ghanathe and Steven J E Wilton
QUTE: Quantifying Uncertainty in TinyML with Early-exit-assisted ensembles for model-monitoringby Nikhil P Ghanathe, Steven J…
Summary of A Visualization Method For Data Domain Changes in Cnn Networks and the Optimization Method For Selecting Thresholds in Classification Tasks, by Minzhe Huang et al.
A visualization method for data domain changes in CNN networks and the optimization method for…
Summary of A Fourier Approach to the Parameter Estimation Problem For One-dimensional Gaussian Mixture Models, by Xinyu Liu et al.
A Fourier Approach to the Parameter Estimation Problem for One-dimensional Gaussian Mixture Modelsby Xinyu Liu,…
Summary of Sa-attack: Speed-adaptive Stealthy Adversarial Attack on Trajectory Prediction, by Huilin Yin et al.
SA-Attack: Speed-adaptive stealthy adversarial attack on trajectory predictionby Huilin Yin, Jiaxiang Li, Pengju Zhen, Jun…
Summary of Cori: Cjkv Benchmark with Romanization Integration — a Step Towards Cross-lingual Transfer Beyond Textual Scripts, by Hoang H. Nguyen et al.
CORI: CJKV Benchmark with Romanization Integration – A step towards Cross-lingual Transfer Beyond Textual Scriptsby…
Summary of End-to-end Verifiable Decentralized Federated Learning, by Chaehyeon Lee et al.
End-to-End Verifiable Decentralized Federated Learningby Chaehyeon Lee, Jonathan Heiss, Stefan Tai, James Won-Ki HongFirst submitted…
Summary of Transformer-based Classification Outcome Prediction For Multimodal Stroke Treatment, by Danqing Ma et al.
Transformer-Based Classification Outcome Prediction for Multimodal Stroke Treatmentby Danqing Ma, Meng Wang, Ao Xiang, Zongqing…
Summary of Aed-pada:improving Generalizability Of Adversarial Example Detection Via Principal Adversarial Domain Adaptation, by Heqi Peng et al.
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptationby Heqi Peng, Yunhong Wang,…
Summary of Pre-trained Vision-language Models Learn Discoverable Visual Concepts, by Yuan Zang et al.
Pre-trained Vision-Language Models Learn Discoverable Visual Conceptsby Yuan Zang, Tian Yun, Hao Tan, Trung Bui,…