Papers
Flat Seeking Bayesian Neural Networks
Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan et al.
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning
Zih-Yun Chiu, Yi-Lin Tuan, William Yang Wang et al.
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models
Haonan Duan, Adam Dziedzic, Nicolas Papernot et al.
Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection
Yuxin Cao, Yian Li, Yumeng Zhu et al.
Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection
Haibao Yu, Yingjuan Tang, Enze Xie et al.
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow
Cameron Smith, Yilun Du, Ayush Tewari et al.
Flow Factorized Representation Learning
Yue Song, Andy Keller, Nicu Sebe et al.
Flow Matching for Scalable Simulation-Based Inference
Jonas Wildberger, Maximilian Dax, Simon Buchholz et al.
Flow: Per-instance Personalized Federated Learning
Kunjal Panchal, Sunav Choudhary, Nisarg Parikh et al.
FlowPG: Action-constrained Policy Gradient with Normalizing Flows
Janaka Brahmanage, Jiajing LING, Akshat Kumar
FLSL: Feature-level Self-supervised Learning
Qing Su, Anton Netchaev, Hai Li et al.
FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout
Irene Wang, Prashant Nair, Divya Mahajan
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu et al.
Focused Transformer: Contrastive Training for Context Scaling
Szymon Tworkowski, Konrad Staniszewski, Mikołaj Pacek et al.
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
Yuan Wang, Naisong Luo, Tianzhu Zhang
Focus Your Attention when Few-Shot Classification
Haoqing Wang, Shibo Jie, Zhihong Deng
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts
Chaoqi Wang, Ziyu Ye, Zhe Feng et al.
FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding
Pengxiang Wu, Siman Wang, Kevin Dela Rosa et al.
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
Samuel Dooley, Gurnoor Singh Khurana, Chirag Mohapatra et al.
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
Junguang Jiang, Baixu Chen, Junwei Pan et al.
Formalizing locality for normative synaptic plasticity models
Colin Bredenberg, Ezekiel Williams, Cristina Savin et al.
Formulating Discrete Probability Flow Through Optimal Transport
Pengze Zhang, Hubery Yin, Chen Li et al.
For SALE: State-Action Representation Learning for Deep Reinforcement Learning
Scott Fujimoto, Wei-Di Chang, Edward Smith et al.
Foundation Model is Efficient Multimodal Multitask Model Selector
Fanqing Meng, Wenqi Shao, zhanglin peng et al.
FouriDown: Factoring Down-Sampling into Shuffling and Superposing
Qi Zhu, man zhou, Jie Huang et al.