Summary of Gnnbench: Fair and Productive Benchmarking For Single-gpu Gnn System, by Yidong Gong and Pradeep Kumar
GNNBENCH: Fair and Productive Benchmarking for Single-GPU GNN Systemby Yidong Gong, Pradeep KumarFirst submitted to…
Summary of Generalizable Temperature Nowcasting with Physics-constrained Rnns For Predictive Maintenance Of Wind Turbine Components, by Johannes Exenberger et al.
Generalizable Temperature Nowcasting with Physics-Constrained RNNs for Predictive Maintenance of Wind Turbine Componentsby Johannes Exenberger,…
Summary of Nonparametric Modern Hopfield Models, by Jerry Yao-chieh Hu et al.
Nonparametric Modern Hopfield Modelsby Jerry Yao-Chieh Hu, Bo-Yu Chen, Dennis Wu, Feng Ruan, Han LiuFirst…
Summary of Multi-task Learning For Lung Sound & Lung Disease Classification, by Suma K V et al.
Multi-Task Learning for Lung sound & Lung disease classificationby Suma K V, Deepali Koppad, Preethi…
Summary of Deep Learning For Satellite Image Time Series Analysis: a Review, by Lynn Miller et al.
Deep Learning for Satellite Image Time Series Analysis: A Reviewby Lynn Miller, Charlotte Pelletier, Geoffrey…
Summary of Model Selection with Model Zoo Via Graph Learning, by Ziyu Li et al.
Model Selection with Model Zoo via Graph Learningby Ziyu Li, Hilco van der Wilk, Danning…
Summary of Explaining Explainability: Recommendations For Effective Use Of Concept Activation Vectors, by Angus Nicolson et al.
Explaining Explainability: Recommendations for Effective Use of Concept Activation Vectorsby Angus Nicolson, Lisa Schut, J.…
Summary of Transformerlsr: Attentive Joint Model Of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure, by Zhiyue Zhang et al.
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structureby…
Summary of Uniform Memory Retrieval with Larger Capacity For Modern Hopfield Models, by Dennis Wu et al.
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Modelsby Dennis Wu, Jerry Yao-Chieh Hu,…
Summary of Leveraging Interpolation Models and Error Bounds For Verifiable Scientific Machine Learning, by Tyler Chang and Andrew Gillette and Romit Maulik
Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learningby Tyler Chang, Andrew Gillette,…