Summary of Dwfl: Enhancing Federated Learning Through Dynamic Weighted Averaging, by Prakash Chourasia et al.
DWFL: Enhancing Federated Learning through Dynamic Weighted Averagingby Prakash Chourasia, Tamkanat E Ali, Sarwan Ali,…
Summary of Defending Deep Regression Models Against Backdoor Attacks, by Lingyu Du et al.
Defending Deep Regression Models against Backdoor Attacksby Lingyu Du, Yupei Liu, Jinyuan Jia, Guohao LanFirst…
Summary of Pareto Set Identification with Posterior Sampling, by Cyrille Kone et al.
Pareto Set Identification With Posterior Samplingby Cyrille Kone, Marc Jourdan, Emilie KaufmannFirst submitted to arxiv…
Summary of Peri-midformer: Periodic Pyramid Transformer For Time Series Analysis, by Qiang Wu et al.
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysisby Qiang Wu, Gechang Yao, Zhixi Feng, Shuyuan…
Summary of Cybercrime Prediction Via Geographically Weighted Learning, by Muhammad Al-zafar Khan et al.
Cybercrime Prediction via Geographically Weighted Learningby Muhammad Al-Zafar Khan, Jamal Al-Karaki, Emad MahafzahFirst submitted to…
Summary of Wav2sleep: a Unified Multi-modal Approach to Sleep Stage Classification From Physiological Signals, by Jonathan F. Carter and Lionel Tarassenko
wav2sleep: A Unified Multi-Modal Approach to Sleep Stage Classification from Physiological Signalsby Jonathan F. Carter,…
Summary of Neuro-symbolic Ai: Explainability, Challenges, and Future Trends, by Xin Zhang et al.
Neuro-Symbolic AI: Explainability, Challenges, and Future Trendsby Xin Zhang, Victor S. ShengFirst submitted to arxiv…
Summary of Bridging the Gap: Representation Spaces in Neuro-symbolic Ai, by Xin Zhang et al.
Bridging the Gap: Representation Spaces in Neuro-Symbolic AIby Xin Zhang, Victor S.ShengFirst submitted to arxiv…
Summary of Bendvlm: Test-time Debiasing Of Vision-language Embeddings, by Walter Gerych et al.
BendVLM: Test-Time Debiasing of Vision-Language Embeddingsby Walter Gerych, Haoran Zhang, Kimia Hamidieh, Eileen Pan, Maanas…
Summary of Labels in Extremes: How Well Calibrated Are Extreme Multi-label Classifiers?, by Nasib Ullah and Erik Schultheis and Jinbin Zhang and Rohit Babbar
Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers?by Nasib Ullah, Erik Schultheis, Jinbin…