Papers
Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions
Fabiola Ricci, Lorenzo Bardone, Sebastian Goldt
Feature-Mapping Topology Optimization with Neural Heaviside Signed Distance Functions
Aleksandr Kolomeitsev, Anh-Huy Phan
Feature out! Let Raw Image as Your Condition for Blind Face Restoration
Xinmin Qiu, Chen Gege, Bonan Li et al.
Features are fate: a theory of transfer learning in high-dimensional regression
Javan Tahir, Surya Ganguli, Grant M. Rotskoff
Feature Shift Localization Network
Mı́riam Barrabés, Daniel Mas Montserrat, Kapal Dev et al.
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
Jacopo Talpini, Marco Savi, Giovanni Neglia
FedClean: A General Robust Label Noise Correction for Federated Learning
Xiaoqian Jiang, Jing Zhang
FedECADO: A Dynamical System Model of Federated Learning
Aayushya Agarwal, Gauri Joshi, Lawrence Pileggi
Federated Causal Structure Learning with Non-identical Variable Sets
Yunxia Wang, Fuyuan Cao, Kui Yu et al.
Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation
Yihao Yang, Wenke Huang, Guancheng Wan et al.
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework
Terje Mildner, Oliver Hamelijnck, Paris Giampouras et al.
Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance
Guoqing Chao, Zhenghao Zhang, Lei Meng et al.
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality
Ruhan Wang, Zhiyong Wang, Chengkai Huang et al.
Federated Learning for Feature Generalization with Convex Constraints
Dongwon Kim, Donghee Kim, Sung Kuk Shyn et al.
Federated Node-Level Clustering Network with Cross-Subgraph Link Mending
Jingxin Liu, Renda Han, Wenxuan Tu et al.
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
Ganyu Wang, Jinjie Fang, Maxwell Juncheng Yin et al.
FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation
Chengying Fang, Wenke Huang, Guancheng Wan et al.
FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates
Xinyi Lu, Hao Zhang, Chenglin Li et al.
FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
Yichen Li, Yuying Wang, Haozhao Wang et al.
Feedforward Few-shot Species Range Estimation
Christian Lange, Max Hamilton, Elijah Cole et al.
Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
Yao Shu, Wenyang Hu, See-Kiong Ng et al.
Few-Shot Learner Generalizes Across AI-Generated Image Detection
Shiyu Wu, Jing Liu, Jing Li et al.
Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts
Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian et al.
FG-CLIP: Fine-Grained Visual and Textual Alignment
Chunyu Xie, Bin Wang, Fanjing Kong et al.