Papers
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning
Jian Li, Yong Liu, Weiping Wang
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, Xiang Yin, Jing Tan et al.
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
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 Learning via Repurposing Ensemble of Black-Box Models
Minh Hoang, Trong Nghia Hoang
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.
Finding ε and δ of Traditional Disclosure Control Systems
Saswat Das, Keyu Zhu, Christine Task et al.
Find the Lady: Permutation and Re-synchronization of Deep Neural Networks
Carl De Sousa Trias, Mihai Petru Mitrea, Attilio Fiandrotti 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
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
Kennard Yanting 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.
Finetuning LLMs for Automatic Concept to TTI Prompt Generation (Student Abstract)
Jeremy Rutter, Maneesh Reddy Chamakura, Justin Delgado 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, Abishai Ebenezer, José Cambronero Sanchez et al.