Summary of Downstream-pretext Domain Knowledge Traceback For Active Learning, by Beichen Zhang et al.
Downstream-Pretext Domain Knowledge Traceback for Active Learningby Beichen Zhang, Liang Li, Zheng-Jun Zha, Jiebo Luo,…
Summary of Metaaug: Meta-data Augmentation For Post-training Quantization, by Cuong Pham et al.
MetaAug: Meta-Data Augmentation for Post-Training Quantizationby Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung…
Summary of Feddm: Enhancing Communication Efficiency and Handling Data Heterogeneity in Federated Diffusion Models, by Jayneel Vora et al.
FedDM: Enhancing Communication Efficiency and Handling Data Heterogeneity in Federated Diffusion Modelsby Jayneel Vora, Nader…
Summary of Voices in a Crowd: Searching For Clusters Of Unique Perspectives, by Nikolas Vitsakis et al.
Voices in a Crowd: Searching for Clusters of Unique Perspectivesby Nikolas Vitsakis, Amit Parekh, Ioannis…
Summary of Personalized Multi-tier Federated Learning, by Sourasekhar Banerjee et al.
Personalized Multi-tier Federated Learningby Sourasekhar Banerjee, Ali Dadras, Alp Yurtsever, Monowar BhuyanFirst submitted to arxiv…
Summary of Hyperparameter Optimization For Driving Strategies Based on Reinforcement Learning, by Nihal Acharya Adde et al.
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learningby Nihal Acharya Adde, Hanno Gottschalk, Andreas…
Summary of Modality-order Matters! a Novel Hierarchical Feature Fusion Method For Cosam: a Code-switched Autism Corpus, by Mohd Mujtaba Akhtar et al.
Modality-Order Matters! A Novel Hierarchical Feature Fusion Method for CoSAm: A Code-Switched Autism Corpusby Mohd…
Summary of Quantifying the Value Of Positive Transfer: An Experimental Case Study, by Aidan J. Hughes et al.
Quantifying the value of positive transfer: An experimental case studyby Aidan J. Hughes, Giulia Delo,…
Summary of Improving Gbdt Performance on Imbalanced Datasets: An Empirical Study Of Class-balanced Loss Functions, by Jiaqi Luo et al.
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functionsby Jiaqi Luo,…
Summary of Open Artificial Knowledge, by Vadim Borisov et al.
Open Artificial Knowledgeby Vadim Borisov, Richard H. SchreiberFirst submitted to arxiv on: 19 Jul 2024CategoriesMain:…