Paper Papers

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users

Hantao Yang, Xutong Liu, Zhiyong Wang et al.

Federated Graph Learning under Domain Shift with Generalizable Prototypes

Guancheng Wan, Wenke Huang, Mang Ye

Federated Label-Noise Learning with Local Diversity Product Regularization

Xiaochen Zhou, Xudong Wang

Federated Learning with Extremely Noisy Clients via Negative Distillation

Yang Lu, Lin Chen, Yonggang Zhang et al.

Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation

Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization

Yan Yan, Yuhong Guo

FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning

Xinyuan Ji, Zhaowei Zhu, Wei Xi et al.

FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting

Shu-Ling Cheng, Chin-Yuan Yeh, Ting-An Chen et al.

FedLF: Layer-Wise Fair Federated Learning

Zibin Pan, Chi Li, Fangchen Yu et al.

FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing

Yongzhe Jia, Xuyun Zhang, Amin Beheshti et al.

FedMut: Generalized Federated Learning via Stochastic Mutation

Ming Hu, Cao Yue, Anran Li et al.

FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning

Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity

Yiyue Chen, Haris Vikalo, Chianing Wang

FedST: Federated Style Transfer Learning for Non-IID Image Segmentation

Boyuan Ma, Yin Xiang, Jing Tan et al.

FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for

Jianqing Zhang, Yang Liu, Yang Hua et al.

Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language

Xiang Fang, Daizong Liu, Wanlong Fang et al.

Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI

Qinqian Lei, Bo Wang, Robby T. Tan

Few-Shot Neural Radiance Fields under Unconstrained Illumination

SeokYeong Lee, JunYong Choi, Seungryong Kim et al.

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection

Soopil Kim, Sion An, Philip Chikontwe et al.

FFT-Based Dynamic Token Mixer for Vision

Yuki Tatsunami, Masato Taki

FG-EmoTalk: Talking Head Video Generation with Fine-Grained Controllable Facial Expressions

Zhaoxu Sun, Yuze Xuan, Fang Liu et al.

Finding Interpretable Class-Specific Patterns through Efficient Neural Search

Nils Philipp Walter, Jonas Fischer, Jilles Vreeken

Finding Visual Saliency in Continuous Spike Stream

Lin Zhu, Xianzhang Chen, Xiao Wang et al.

Fine-Grained Distillation for Long Document Retrieval

Yucheng Zhou, Tao Shen, Xiubo Geng et al.

Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning

Authors: Jiang-Tian Zhai, Xialei Liu, Lu Yu et al.

Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering

Qijun Gan, Wentong Li, Jinwei Ren et al.

Fine-Grained Prototypes Distillation for Few-Shot Object Detection

Zichen Wang, Bo Yang, Haonan Yue et al.

Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction

K. Chan, Fayao Liu, Guosheng Lin et al.

Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns

Yifei Sun, Qi Zhu, Yang Yang et al.

Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward

Mengyuan Yang, Mengying Zhu, Yan Wang et al.

Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs

Tianyuan Jin, Hao-Lun Hsu, William Chang et al.

FLAME: A Small Language Model for Spreadsheet Formulas

Harshit Joshi, José Cambronero Sanchez, Abishai Ebenezer et al.

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

Zhenyu Li, Sunqi Fan, Yu Gu et al.

FlightBERT++: A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework

Dongyue Guo, Zheng Zhang, Zhen Yan et al.

Fluctuation-Based Adaptive Structured Pruning for Large Language Models

Yongqi An, Xu Zhao, Tao Yu et al.

FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection

Dongmei Zhang, Chang Li, Renrui Zhang et al.

FMRNet: Image Deraining via Frequency Mutual Revision

Kui Jiang, Junjun Jiang, Xianming Liu et al.

FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly

Yuhan Li, Yishun Dou, Yue Shi et al.

Focus Stacking with High Fidelity and Superior Visual Effects

Bo Liu, Bin Hu, Xiuli Bi et al.

Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning

Follow Your Pose: Pose-Guided Text-to-Video Generation Using Pose-Free Videos

Yue Ma, Yingqing HE, Xiaodong Cun et al.

FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning

Zhenhua Yang, Dezhi Peng, Yuxin Kong et al.

Forced Exploration in Bandit Problems

Qi Han, Li Zhu, Fei Guo

Forecasting Bimanual Object Manipulation Sequences from Unimanual Observations

Haziq Razali, Yiannis Demiris

Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective

Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho et al.

Formal Logic Enabled Personalized Federated Learning through Property Inference

Ziyan An, Taylor Johnson, Meiyi Ma

FoSp: Focus and Separation Network for Early Smoke Segmentation

Lujian Yao, Haitao Zhao, Jingchao Peng et al.

Foundations of Reactive Synthesis for Declarative Process Specifications

Andrey Rivkin, Luca Geatti, Marco Montali

FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning

Yonghyeon Jo, Sunwoo Lee, Junghyuk Yum et al.

FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields

GeonU Kim, Kim Youwang, Tae-Hyun Oh