Summary of A Pattern Language For Machine Learning Tasks, by Benjamin Rodatz et al.
A Pattern Language for Machine Learning Tasksby Benjamin Rodatz, Ian Fan, Tuomas Laakkonen, Neil John…
Summary of On the Robustness Of Graph Reduction Against Gnn Backdoor, by Yuxuan Zhu et al.
On the Robustness of Graph Reduction Against GNN Backdoorby Yuxuan Zhu, Michael Mandulak, Kerui Wu,…
Summary of Pleas — Merging Models with Permutations and Least Squares, by Anshul Nasery et al.
PLeaS – Merging Models with Permutations and Least Squaresby Anshul Nasery, Jonathan Hayase, Pang Wei…
Summary of Hc-glad: Dual Hyperbolic Contrastive Learning For Unsupervised Graph-level Anomaly Detection, by Yali Fu et al.
HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detectionby Yali Fu, Jindong Li, Jiahong…
Summary of Terminating Differentiable Tree Experts, by Jonathan Thomm et al.
Terminating Differentiable Tree Expertsby Jonathan Thomm, Michael Hersche, Giacomo Camposampiero, Aleksandar Terzić, Bernhard Schölkopf, Abbas…
Summary of Are Data Augmentation Methods in Named Entity Recognition Applicable For Uncertainty Estimation?, by Wataru Hashimoto et al.
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?by Wataru Hashimoto, Hidetaka…
Summary of Latent Diffusion Model For Generating Ensembles Of Climate Simulations, by Johannes Meuer et al.
Latent Diffusion Model for Generating Ensembles of Climate Simulationsby Johannes Meuer, Maximilian Witte, Tobias Sebastian…
Summary of Gptcast: a Weather Language Model For Precipitation Nowcasting, by Gabriele Franch et al.
GPTCast: a weather language model for precipitation nowcastingby Gabriele Franch, Elena Tomasi, Rishabh Wanjari, Virginia…
Summary of Contribution Evaluation Of Heterogeneous Participants in Federated Learning Via Prototypical Representations, by Qi Guo et al.
Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representationsby Qi Guo, Minghao Yao,…
Summary of A Data-centric Perspective on Evaluating Machine Learning Models For Tabular Data, by Andrej Tschalzev et al.
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Databy Andrej Tschalzev, Sascha Marton,…