Paper Papers
5,964 papers found • Page 27 of 120
Conference
FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning
Renqiang Luo, Huafei Huang, Ivan Lee et al.
Fairness-Accuracy Trade-Offs: A Causal Perspective
Drago Plecko, Elias Bareinboim
Fairness Shields: Safeguarding against Biased Decision Makers
Filip Cano, Thomas A. Henzinger, Bettina Könighofer et al.
Fair Text-to-Image Diffusion via Fair Mapping
Jia Li, Lijie Hu, Jingfeng Zhang et al.
FairTP: A Prolonged Fairness Framework for Traffic Prediction
Jiangnan Xia, Yu Yang, Jiaxing Shen et al.
Fair Training with Zero Inputs
Wenjie Pan, Jianqing Zhu, Huanqiang Zeng
Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint
Yong-Min Shin, Siqing Li, Xin Cao et al.
FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection
Bo Wang, Zhao Zhang, Suiyi Zhao et al.
Falcon: Faster and Parallel Inference of Large Language Models Through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree
Xiangxiang Gao, Weisheng Xie, Yiwei Xiang et al.
FalseReject: A Resource for Improving Contextual Safety and Mitigating Over-Refusals in LLMs via Structured Reasoning
Zhehao Zhang, Weijie Xu, Fanyou Wu et al.
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation
Yuntian Bo, Yazhou Zhu, Lunbo Li et al.
FashionTailor: Controllable Clothing Editing for Human Images with Appearance Preserving
Jie Hou, Jianghong Ma, Xiangyu Mu et al.
Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction
Yixuan Li, Can Chen, Jiajun Li et al.
Fast and Slow Gradient Approximation for Binary Neural Network Optimization
Xinquan Chen, Junqi Gao, Biqing Qi et al.
Fast Computing of Dung Semantics in Acyclic Probabilistic Argumentation Frameworks
Stefano Bistarelli, Victor David, Pierre Monnin et al.
Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via Decomposition
Dogan Corus, Pietro S. Oliveto, Donya Yazdani
Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling
Ben Lipkin, Benjamin LeBrun, Jacob Hoover Vigly et al.
Faster Double Adaptive Gradient Methods
Feihu Huang, Yuning Luo
Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction
Deng Xu, Chao Zhang, Cong Guo et al.
FastLGS: Speeding Up Language Embedded Gaussians with Feature Grid Mapping
Yuzhou Ji, He Zhu, Junshu Tang et al.
Fast Multi-Instance Partial-Label Learning
Yin-Fang Yang, Wei Tang, Min-Ling Zhang
Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric Priors
Xuelin Shen, Yitong Wang, Silin Zheng et al.
FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks
Da Sun Handason Tam, Huanle Xu, Yang Liu et al.
Fast SP-GS: Reconstructing Dynamic Scenes in Minutes
Diwen Wan, Jiaxiang Tang, Ruijie Lu et al.
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph
Xujian Liang, Zhaoquan Gu
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks
Yanwei Yue, Guibin Zhang, Haoran Yang et al.
FATE: Feature-Adapted Parameter Tuning for Vision-Language Models
Zhengqin Xu, Zelin Peng, Xiaokang Yang et al.
FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency
Han Huang, Yulun Wu, Chao Deng et al.
FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection
Yao Xiao, Tingfa Xu, Yu Xin et al.
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning
Tanapol Kosolwattana, Huazheng Wang, Raed Al Kontar et al.
FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection
Ke Li, Di Wang, Zhangyuan Hu et al.
FEAST-Mamba: FEAture and SpaTial Aware Mamba Network with Bidirectional Orthogonal Fusion for Cross-Modal Point Cloud Segmentation
Chade Li, Pengju Zhang, Bo Liu et al.
Feature Clipping for Uncertainty Calibration
Linwei Tao, Minjing Dong, Chang Xu
Feature Denoising Diffusion Model for Blind Image Quality Assessment
Xudong Li, Yan Zhang, Yunhang Shen et al.
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation
Songyuan Lei, Xinglong Chang, Zhizhi Yu et al.
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning
Jialuo He, Wei Chen, Xiaojin Zhang
FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning
Zhonghua Jiang, Jimin Xu, Shengyu Zhang et al.
FedCross: Intertemporal Federated Learning Under Evolutionary Games
Jianfeng Lu, Ying Zhang, Riheng Jia et al.
Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens
Zichen Wang, Feng Yan, Tianyi Wang et al.
Federated Assemblies
Daniel Halpern, Ariel D. Procaccia, Ehud Shapiro et al.
Federated Binary Matrix Factorization Using Proximal Optimization
Sebastian Dalleiger, Jilles Vreeken, Michael Kamp
Federated Causally Invariant Feature Learning
Xianjie Guo, Kui Yu, Lizhen Cui et al.
Federated Foundation Models on Heterogeneous Time Series
Shengchao Chen, Guodong Long, Jing Jiang et al.
Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs
Nannan Wu, Yazheng Zhao, Hongdou Dong et al.
Federated Graph Condensation with Information Bottleneck Principles
Bo Yan, Sihao He, Cheng Yang et al.
Federated Graph-Level Clustering Network
Jingxin Liu, Jieren Cheng, Renda Han et al.
Federated Learning with Sample-level Client Drift Mitigation
Haoran Xu, Jiaze Li, Wanyi Wu et al.
Federated Recommendation with Explicitly Encoding Item Bias
Zhihao Wang, He Bai, Wenke Huang et al.
Federated t-SNE and UMAP for Distributed Data Visualization
Dong Qiao, Xinxian Ma, Jicong Fan
Federated Unlearning with Gradient Descent and Conflict Mitigation
Zibin Pan, Zhichao Wang, Chi Li et al.