Summary of Learning Model Agnostic Explanations Via Constraint Programming, by Frederic Koriche et al.
Learning Model Agnostic Explanations via Constraint Programmingby Frederic Koriche, Jean-Marie Lagniez, Stefan Mengel, Chi TranFirst…
Summary of Llmphy: Complex Physical Reasoning Using Large Language Models and World Models, by Anoop Cherian et al.
LLMPhy: Complex Physical Reasoning Using Large Language Models and World Modelsby Anoop Cherian, Radu Corcodel,…
Summary of Equitable Length Of Stay Prediction For Patients with Learning Disabilities and Multiple Long-term Conditions Using Machine Learning, by Emeka Abakasanga et al.
Equitable Length of Stay Prediction for Patients with Learning Disabilities and Multiple Long-term Conditions Using…
Summary of Frugal: Memory-efficient Optimization by Reducing State Overhead For Scalable Training, By Philip Zmushko et al.
FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Trainingby Philip Zmushko, Aleksandr Beznosikov, Martin…
Summary of On the Convergence Of Continual Federated Learning Using Incrementally Aggregated Gradients, by Satish Kumar Keshri et al.
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradientsby Satish Kumar Keshri, Nazreen…
Summary of Exact, Tractable Gauss-newton Optimization in Deep Reversible Architectures Reveal Poor Generalization, by Davide Buffelli et al.
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalizationby Davide Buffelli, Jamie McGowan,…
Summary of Convergence Rate Analysis Of Lion, by Yiming Dong et al.
Convergence Rate Analysis of LIONby Yiming Dong, Huan Li, Zhouchen LinFirst submitted to arxiv on:…
Summary of Collaborative and Federated Black-box Optimization: a Bayesian Optimization Perspective, by Raed Al Kontar
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspectiveby Raed Al KontarFirst submitted to arxiv…
Summary of Unraveling the Gradient Descent Dynamics Of Transformers, by Bingqing Song et al.
Unraveling the Gradient Descent Dynamics of Transformersby Bingqing Song, Boran Han, Shuai Zhang, Jie Ding,…
Summary of Zer0-jack: a Memory-efficient Gradient-based Jailbreaking Method For Black-box Multi-modal Large Language Models, by Tiejin Chen et al.
Zer0-Jack: A Memory-efficient Gradient-based Jailbreaking Method for Black-box Multi-modal Large Language Modelsby Tiejin Chen, Kaishen…