Papers
Fault Diagnosis of Irregular Sequences by Adjoint Learning in Continuous-Time Model Space
Xiren Zhou, Chuyang Wei, Ao Chen et al.
FB-4D: Spatial-Temporal Coherent Dynamic 3D Content Generation with Feature Banks
Jinwei Li, Huan-Ang Gao, Wenyi Li et al.
FCC: Fully Connected Correlation for One-Shot Segmentation
Seonghyeon Moon, Haein Kong, Muhammad Haris Khan et al.
FCMO: A Flow-Curv Mamba Operator for Large-Scale 3D Vehicle Aerodynamics
Yuchen Xie, Yufeng Xie, Hanyu He et al.
FDC-Ground: Improving GRPO for GUI Grounding via Exponential Rewards and Fact-Aligned Pruning
Xiangjian Zeng, Wenjing Li, Qingqiang Wu et al.
FD-MAGRPO: Functionality-Driven Multi-Agent Group Relative Policy Optimization for Analog-LDO Sizing
Haoning Jiang, Han Wu, Zhuoli Ouyang et al.
FDP: A Frequency-Decomposition Preprocessing Pipeline for Unsupervised Anomaly Detection in Brain MRI
Hao Li, Zhenfeng Zhuang, Jingyu Lin et al.
Feasibility-Aware Masked Transformer for the Pickup-and-Delivery Problem with Time Windows (Student Abstract)
Kaede Saito, Ryota Higa, Hiromu Imura et al.
Feature Attribution for Human Sensing with Radio Signals
Shuokang Huang, Julie McCann
Feature-Aware One-Shot Federated Learning via Hierarchical Token Sequences
Shudong Liu, Hanwen Zhang, Xiuling Wang et al.
Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption
Sunwoo Kim, Soo Yong Lee, Kyungho Kim et al.
Feature Compression May Be the Root Cause of Adversarial Fragility in Neural Network Classifiers (Student Abstract)
Jingchao Gao, Ziqing Lu, Raghu Mudumbai et al.
Feature-Disentangling RGB-NIR Fusion Network for Remote Driver Physiological Measurement
Tayssir Bouraffa, Ziyuan Wang, Daniel Strüber
Feature Drift: How Fine-Tuning Repurposes Representations in LLMs
Andrey V. Galichin, Anton Korznikov, Alexey Dontsov et al.
Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint)
Lei Wang, Piotr Koniusz
Feature Inversion as a Lens on Vision Encoders
Eduard Allakhverdov, Dmitrii Tarasov, Elizaveta Goncharova et al.
FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models
Junkang Liu, Fanhua Shang, Hongying Liu et al.
FedALT: Federated Fine-Tuning Through Adaptive Local Training with Rest-of-World LoRA
Jieming Bian, Lei Wang, Letian Zhang et al.
FedARKS: Federated Aggregation via Robust and Discriminative Knowledge Selection and Integration for Person Re-identification
Xin Xu, Binchang Ma, Zhixi Yu et al.
FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training
Yuyuan Li, Junjie Fang, Fengyuan Yu et al.
FedBRICK: Structural Bias Aware Heterogeneous Foundation Model Federated Tuning
Yuhang Zhang, Xianda Wang, Wei Sun et al.
FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning
Yichen Li, Hang Su, Huifa Li et al.
FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data
Yue Chen, Jianfeng Lu, Shuqin Cao et al.
FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation
Haiyan Lin, Qi Shen, Fei Zhu et al.