Summary of Spectral Graph Pruning Against Over-squashing and Over-smoothing, by Adarsh Jamadandi et al.
Spectral Graph Pruning Against Over-Squashing and Over-Smoothingby Adarsh Jamadandi, Celia Rubio-Madrigal, Rebekka BurkholzFirst submitted to…
Summary of Robust Few-shot Ensemble Learning with Focal Diversity-based Pruning, by Selim Furkan Tekin et al.
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruningby Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang,…
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 No “zero-shot” Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance, by Vishaal Udandarao et al.
No “Zero-Shot” Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performanceby Vishaal Udandarao, Ameya…
Summary of Rolling the Dice For Better Deep Learning Performance: a Study Of Randomness Techniques in Deep Neural Networks, by Mohammed Ghaith Altarabichi et al.
Rolling the dice for better deep learning performance: A study of randomness techniques in deep…
Summary of Generalization Bounds For Message Passing Networks on Mixture Of Graphons, by Sohir Maskey et al.
Generalization Bounds for Message Passing Networks on Mixture of Graphonsby Sohir Maskey, Gitta Kutyniok, Ron…
Summary of Learning-to-optimize with Pac-bayesian Guarantees: Theoretical Considerations and Practical Implementation, by Michael Sucker et al.
Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementationby Michael Sucker, Jalal Fadili, Peter OchsFirst…
Summary of Information-theoretic Generalization Bounds For Deep Neural Networks, by Haiyun He et al.
Information-Theoretic Generalization Bounds for Deep Neural Networksby Haiyun He, Christina Lee Yu, Ziv GoldfeldFirst submitted…
Summary of Deit-lt Distillation Strikes Back For Vision Transformer Training on Long-tailed Datasets, by Harsh Rangwani et al.
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasetsby Harsh Rangwani, Pradipto Mondal,…
Summary of Bi-lora: a Vision-language Approach For Synthetic Image Detection, by Mamadou Keita et al.
Bi-LORA: A Vision-Language Approach for Synthetic Image Detectionby Mamadou Keita, Wassim Hamidouche, Hessen Bougueffa Eutamene,…