Papers
FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions
Anuroop Sriram, Benjamin Kurt Miller, Ricky T. Q. Chen et al.
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
Yasi Zhang, Peiyu Yu, Yaxuan Zhu et al.
Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception
Shuangpeng Han, Ziyu Wang, Mengmi Zhang
FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner
Wenliang Zhao, Minglei Shi, Xumin Yu et al.
FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models
Wanyi Ning, Jingyu Wang, Qi Qi et al.
fMRI predictors based on language models of increasing complexity recover brain left lateralization
Laurent Bonnasse-Gahot, Christophe Pallier
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
Kun Chen, Peng Ye, Hao Chen et al.
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
Huiping Zhuang, Yuchen Liu, Run He et al.
Focus On What Matters: Separated Models For Visual-Based RL Generalization
Di Zhang, Bowen Lv, Hai Zhang et al.
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection
Xinting Liao, Weiming Liu, Pengyang Zhou et al.
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
Xinrui Wang, Chuanxing Geng, Wenhai Wan et al.
Foundation Inference Models for Markov Jump Processes
David Berghaus, Kostadin Cvejoski, Patrick Seifner et al.
Foundations of Multivariate Distributional Reinforcement Learning
Harley Wiltzer, Jesse Farebrother, Arthur Gretton et al.
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding
Zhenyu Zhang, Runjin Chen, Shiwei Liu et al.
FouRA: Fourier Low-Rank Adaptation
Shubhankar Borse, Shreya Kadambi, Nilesh Prasad Pandey et al.
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting
Chiu-Wai Yan, Shi Quan Foo, Van Hoan Trinh et al.
Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion
Yu-Jie Liang, Zihan Cao, Shangqi Deng et al.
Fractal Patterns May Illuminate the Success of Next-Token Prediction
Ibrahim Alabdulmohsin, Vinh Q. Tran, Mostafa Dehghani
FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention
Yu Lu, Yuanzhi Liang, Linchao Zhu et al.
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement
Yanyan Huang, Weiqin Zhao, Yihang Chen et al.
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
Mengmeng Chen, Xiaohu Wu, Xiaoli Tang et al.
FreeSplat: Generalizable 3D Gaussian Splatting Towards Free View Synthesis of Indoor Scenes
Yunsong Wang, Tianxin Huang, Hanlin Chen et al.
FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge
Hanzhe Li, Jiaran Zhou, Yuezun Li et al.
FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space
Yiyang Guo, Ruizhe Li, Mude Hui et al.
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
Weiwei Ye, Songgaojun Deng, Qiaosha Zou et al.