Summary of Robust Width: a Lightweight and Certifiable Adversarial Defense, by Jonathan Peck et al.
Robust width: A lightweight and certifiable adversarial defenseby Jonathan Peck, Bart GoossensFirst submitted to arxiv…
Summary of Enhancing Visual-language Modality Alignment in Large Vision Language Models Via Self-improvement, by Xiyao Wang et al.
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvementby Xiyao Wang, Jiuhai Chen,…
Summary of Badgd: a Unified Data-centric Framework to Identify Gradient Descent Vulnerabilities, by Chi-hua Wang et al.
BadGD: A unified data-centric framework to identify gradient descent vulnerabilitiesby Chi-Hua Wang, Guang ChengFirst submitted…
Summary of Infinite Limits Of Multi-head Transformer Dynamics, by Blake Bordelon et al.
Infinite Limits of Multi-head Transformer Dynamicsby Blake Bordelon, Hamza Tahir Chaudhry, Cengiz PehlevanFirst submitted to…
Summary of Hierarchical Uncertainty Exploration Via Feedforward Posterior Trees, by Elias Nehme et al.
Hierarchical Uncertainty Exploration via Feedforward Posterior Treesby Elias Nehme, Rotem Mulayoff, Tomer MichaeliFirst submitted to…
Summary of Models That Prove Their Own Correctness, by Noga Amit et al.
Models That Prove Their Own Correctnessby Noga Amit, Shafi Goldwasser, Orr Paradise, Guy RothblumFirst submitted…
Summary of Anomalous Change Point Detection Using Probabilistic Predictive Coding, by Roelof G. Hup et al.
Anomalous Change Point Detection Using Probabilistic Predictive Codingby Roelof G. Hup, Julian P. Merkofer, Alex…
Summary of Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks, by Jerome Sieber et al.
Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networksby Jerome…
Summary of Neural Persistence Dynamics, by Sebastian Zeng et al.
Neural Persistence Dynamicsby Sebastian Zeng, Florian Graf, Martin Uray, Stefan Huber, Roland KwittFirst submitted to…
Summary of Sparse Maximal Update Parameterization: a Holistic Approach to Sparse Training Dynamics, by Nolan Dey and Shane Bergsma and Joel Hestness
Sparse maximal update parameterization: A holistic approach to sparse training dynamicsby Nolan Dey, Shane Bergsma,…