Papers
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective
Kun Yi, Qi Zhang, Wei Fan et al.
FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow
Jihyun Lee, Junbong Jang, Donghwan Kim et al.
f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences
Siddhant Agarwal, Ishan Durugkar, Peter Stone et al.
Fractal Landscapes in Policy Optimization
Tao Wang, Sylvia Herbert, Sicun Gao
Fragment-based Pretraining and Finetuning on Molecular Graphs
Kha-Dinh Luong, Ambuj K Singh
Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization
Kamil Dreczkowski, Antoine Grosnit, Haitham Bou Ammar
Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator
Hanzhuo Huang, Yufan Feng, Cheng Shi et al.
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
Lihe Yang, Xiaogang Xu, Bingyi Kang et al.
Frequency Domain-Based Dataset Distillation
Donghyeok Shin, Seungjae Shin, Il-chul Moon
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
Kun Yi, Qi Zhang, Wei Fan et al.
Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation
Keji He, Chenyang Si, Zhihe Lu et al.
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader
Weiwen Xu, Xin Li, Wenxuan Zhang et al.
From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion
Robin San Roman, Yossi Adi, Antoine Deleforge et al.
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces
Peter Shaw, Mandar Joshi, James Cohan et al.
From Tempered to Benign Overfitting in ReLU Neural Networks
Guy Kornowski, Gilad Yehudai, Ohad Shamir
From Trainable Negative Depth to Edge Heterophily in Graphs
Yuchen Yan, Yuzhong Chen, Huiyuan Chen et al.
From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models
Roy Uziel, Or Dinari, Oren Freifeld
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu
Full-Atom Protein Pocket Design via Iterative Refinement
ZAIXI ZHANG, Zepu Lu, Hao Zhongkai et al.
Fully Dynamic $k$-Clustering in $\tilde O(k)$ Update Time
Sayan Bhattacharya, Martín Costa, Silvio Lattanzi et al.
Functional Equivalence and Path Connectivity of Reducible Hyperbolic Tangent Networks
Matthew Farrugia-Roberts
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration
Haitao Lin, Yufei Huang, Odin Zhang et al.
Functional Renyi Differential Privacy for Generative Modeling
Dihong Jiang, Sun Sun, Yaoliang Yu
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks
Balhae Kim, Hyungi Lee, Juho Lee
Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications
Xinyu Ma, Xu Chu, Yasha Wang et al.