Summary of Exploring Kolmogorov-arnold Networks For Realistic Image Sharpness Assessment, by Shaode Yu et al.
Exploring Kolmogorov-Arnold networks for realistic image sharpness assessmentby Shaode Yu, Ze Chen, Zhimu Yang, Jiacheng…
Summary of Alignment with Preference Optimization Is All You Need For Llm Safety, by Reda Alami et al.
Alignment with Preference Optimization Is All You Need for LLM Safetyby Reda Alami, Ali Khalifa…
Summary of Reimagining Linear Probing: Kolmogorov-arnold Networks in Transfer Learning, by Sheng Shen and Rabih Younes
Reimagining Linear Probing: Kolmogorov-Arnold Networks in Transfer Learningby Sheng Shen, Rabih YounesFirst submitted to arxiv…
Summary of Online Decision Metamorphformer: a Casual Transformer-based Reinforcement Learning Framework Of Universal Embodied Intelligence, by Luo Ji and Runji Lin
Online Decision MetaMorphFormer: A Casual Transformer-Based Reinforcement Learning Framework of Universal Embodied Intelligenceby Luo Ji,…
Summary of Federated Impression For Learning with Distributed Heterogeneous Data, by Atrin Arya et al.
Federated Impression for Learning with Distributed Heterogeneous Databy Atrin Arya, Sana Ayromlou, Armin Saadat, Purang…
Summary of Training-free Guidance For Discrete Diffusion Models For Molecular Generation, by Thomas J. Kerby et al.
Training-Free Guidance for Discrete Diffusion Models for Molecular Generationby Thomas J. Kerby, Kevin R. MoonFirst…
Summary of Firal: An Active Learning Algorithm For Multinomial Logistic Regression, by Youguang Chen and George Biros
FIRAL: An Active Learning Algorithm for Multinomial Logistic Regressionby Youguang Chen, George BirosFirst submitted to…
Summary of A Contrastive Symmetric Forward-forward Algorithm (sffa) For Continual Learning Tasks, by Erik B. Terres-escudero et al.
A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasksby Erik B. Terres-Escudero, Javier Del…
Summary of A Scalable Algorithm For Active Learning, by Youguang Chen et al.
A Scalable Algorithm for Active Learningby Youguang Chen, Zheyu Wen, George BirosFirst submitted to arxiv…
Summary of Convergence Of Continuous-time Stochastic Gradient Descent with Applications to Linear Deep Neural Networks, by Gabor Lugosi and Eulalia Nualart
Convergence of continuous-time stochastic gradient descent with applications to linear deep neural networksby Gabor Lugosi,…