Summary of The Neglected Tails in Vision-language Models, by Shubham Parashar et al.
The Neglected Tails in Vision-Language Modelsby Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan…
The Neglected Tails in Vision-Language Modelsby Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan…
Wasserstein Differential Privacyby Chengyi Yang, Jiayin Qi, Aimin ZhouFirst submitted to arxiv on: 23 Jan…
Reinforcement Learning for Graph Coloring: Understanding the Power and Limits of Non-Label Invariant Representationsby Chase…
Robustness to distribution shifts of compressed networks for edge devicesby Lulan Shen, Ali Edalati, Brett…
The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimizationby Matan…
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clientsby Mengdi Wang, Anna Bodonhelyi, Efe…
Momentum-SAM: Sharpness Aware Minimization without Computational Overheadby Marlon Becker, Frederick Altrock, Benjamin RisseFirst submitted to…
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Textby Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova,…
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensemblesby Maximilian Muschalik, Fabian Fumagalli,…
Extracting Formulae in Many-Valued Logic from Deep Neural Networksby Yani Zhang, Helmut BölcskeiFirst submitted to…