Summary of Towards Robust and Parameter-efficient Knowledge Unlearning For Llms, by Sungmin Cha et al.
Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMsby Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae…
Summary of Information Geometry and Beta Link For Optimizing Sparse Variational Student-t Processes, by Jian Xu et al.
Information Geometry and Beta Link for Optimizing Sparse Variational Student-t Processesby Jian Xu, Delu Zeng,…
Summary of Enhancing Multiview Synergy: Robust Learning by Exploiting the Wave Loss Function with Consensus and Complementarity Principles, By A. Quadir et al.
Enhancing Multiview Synergy: Robust Learning by Exploiting the Wave Loss Function with Consensus and Complementarity…
Summary of Learn: An Invex Loss For Outlier Oblivious Robust Online Optimization, by Adarsh Barik et al.
LEARN: An Invex Loss for Outlier Oblivious Robust Online Optimizationby Adarsh Barik, Anand Krishna, Vincent…
Summary of Kernel Sum Of Squares For Data Adapted Kernel Learning Of Dynamical Systems From Data: a Global Optimization Approach, by Daniel Lengyel et al.
Kernel Sum of Squares for Data Adapted Kernel Learning of Dynamical Systems from Data: A…
Summary of Prompt Recovery For Image Generation Models: a Comparative Study Of Discrete Optimizers, by Joshua Nathaniel Williams et al.
Prompt Recovery for Image Generation Models: A Comparative Study of Discrete Optimizersby Joshua Nathaniel Williams,…
Summary of Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction, by Yi Wu et al.
Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfactionby Yi Wu, Daryl Chang,…
Summary of The Np-hardness Of the Gromov-wasserstein Distance, by Natalia Kravtsova
The NP-hardness of the Gromov-Wasserstein distanceby Natalia KravtsovaFirst submitted to arxiv on: 12 Aug 2024CategoriesMain:…
Summary of Operator Learning Using Random Features: a Tool For Scientific Computing, by Nicholas H. Nelsen et al.
Operator Learning Using Random Features: A Tool for Scientific Computingby Nicholas H. Nelsen, Andrew M.…
Summary of Transfer Learning Of State-based Potential Games For Process Optimization in Decentralized Manufacturing Systems, by Steve Yuwono et al.
Transfer learning of state-based potential games for process optimization in decentralized manufacturing systemsby Steve Yuwono,…