Summary of Rethinking Conventional Wisdom in Machine Learning: From Generalization to Scaling, by Lechao Xiao
Rethinking Conventional Wisdom in Machine Learning: From Generalization to Scalingby Lechao XiaoFirst submitted to arxiv…
Summary of A Gated Residual Kolmogorov-arnold Networks For Mixtures Of Experts, by Hugo Inzirillo and Remi Genet
A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Expertsby Hugo Inzirillo, Remi GenetFirst submitted to…
Summary of Hydrovision: Lidar-guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning, by Naghmeh Shafiee Roudbari et al.
HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learningby Naghmeh Shafiee Roudbari, Ursula…
Summary of Protein-mamba: Biological Mamba Models For Protein Function Prediction, by Bohao Xu et al.
Protein-Mamba: Biological Mamba Models for Protein Function Predictionby Bohao Xu, Yingzhou Lu, Yoshitaka Inoue, Namkyeong…
Summary of Not Only the Last-layer Features For Spurious Correlations: All Layer Deep Feature Reweighting, by Humza Wajid Hameed et al.
Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweightingby Humza Wajid…
Summary of Research on Dynamic Data Flow Anomaly Detection Based on Machine Learning, by Liyang Wang et al.
Research on Dynamic Data Flow Anomaly Detection based on Machine Learningby Liyang Wang, Yu Cheng,…
Summary of Sdba: a Stealthy and Long-lasting Durable Backdoor Attack in Federated Learning, by Minyeong Choe et al.
SDBA: A Stealthy and Long-Lasting Durable Backdoor Attack in Federated Learningby Minyeong Choe, Cheolhee Park,…
Summary of On the Specialization Of Neural Modules, by Devon Jarvis et al.
On The Specialization of Neural Modulesby Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew M. SaxeFirst…
Summary of Investigating the Impact Of Hard Samples on Accuracy Reveals In-class Data Imbalance, by Pawel Pukowski and Haiping Lu
Investigating the Impact of Hard Samples on Accuracy Reveals In-class Data Imbalanceby Pawel Pukowski, Haiping…
Summary of Challenging the Performance-interpretability Trade-off: An Evaluation Of Interpretable Machine Learning Models, by Sven Kruschel et al.
Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Modelsby Sven Kruschel, Nico Hambauer,…