Summary of Parallel Momentum Methods Under Biased Gradient Estimations, by Ali Beikmohammadi et al.
Parallel Momentum Methods Under Biased Gradient Estimationsby Ali Beikmohammadi, Sarit Khirirat, Sindri MagnússonFirst submitted to…
Summary of Forml: a Riemannian Hessian-free Method For Meta-learning on Stiefel Manifolds, by Hadi Tabealhojeh et al.
FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel Manifoldsby Hadi Tabealhojeh, Soumava Kumar Roy,…
Summary of Diffusion-based Neural Network Weights Generation, by Bedionita Soro et al.
Diffusion-Based Neural Network Weights Generationby Bedionita Soro, Bruno Andreis, Hayeon Lee, Wonyong Jeong, Song Chong,…
Summary of Reinforced In-context Black-box Optimization, by Lei Song et al.
Reinforced In-Context Black-Box Optimizationby Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye…
Summary of Towards Automated Knowledge Integration From Human-interpretable Representations, by Katarzyna Kobalczyk et al.
Towards Automated Knowledge Integration From Human-Interpretable Representationsby Katarzyna Kobalczyk, Mihaela van der SchaarFirst submitted to…
Summary of Structural Knowledge-driven Meta-learning For Task Offloading in Vehicular Networks with Integrated Communications, Sensing and Computing, by Ruijin Sun et al.
Structural Knowledge-Driven Meta-Learning for Task Offloading in Vehicular Networks with Integrated Communications, Sensing and Computingby…
Summary of A Comprehensive Survey Of Convolutions in Deep Learning: Applications, Challenges, and Future Trends, by Abolfazl Younesi et al.
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trendsby Abolfazl Younesi,…
Summary of Generalizing Reward Modeling For Out-of-distribution Preference Learning, by Chen Jia
Generalizing Reward Modeling for Out-of-Distribution Preference Learningby Chen JiaFirst submitted to arxiv on: 22 Feb…
Summary of Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap For Prompt-based Large Language Models and Beyond, by Xinyu Wang et al.
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models…
Summary of Referee-meta-learning For Fast Adaptation Of Locational Fairness, by Weiye Chen et al.
Referee-Meta-Learning for Fast Adaptation of Locational Fairnessby Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He,…