Papers
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
Emmanuel Bengio, Moksh Jain, Maksym Korablyov et al.
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective
Jingwei Sun, Ang Li, Louis DiValentin et al.
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention
Tan Nguyen, Vai Suliafu, Stanley Osher et al.
Focal Attention for Long-Range Interactions in Vision Transformers
Jianwei Yang, Chunyuan Li, Pengchuan Zhang et al.
For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets
Brian Trippe, Hilary Finucane, Tamara Broderick
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu et al.
Formalizing the Generalization-Forgetting Trade-off in Continual Learning
Krishnan Raghavan, Prasanna Balaprakash
Forster Decomposition and Learning Halfspaces with Noise
Ilias Diakonikolas, Daniel Kane, Christos Tzamos
Foundations of Symbolic Languages for Model Interpretability
Marcelo Arenas, Daniel Báez, Pablo Barceló et al.
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
Alexander Camuto, George Deligiannidis, Murat A Erdogdu et al.
Framing RNN as a kernel method: A neural ODE approach
Adeline Fermanian, Pierre Marion, Jean-Philippe Vert et al.
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
Hengrui Zhang, Qitian Wu, Junchi Yan et al.
From global to local MDI variable importances for random forests and when they are Shapley values
Antonio Sutera, Gilles Louppe, Van Anh Huynh-Thu et al.
From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits
Dorian Baudry, Patrick Saux, Odalric-Ambrym Maillard
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery
Huaxiu Yao, Ying Wei, Long-Kai Huang et al.
Functional Neural Networks for Parametric Image Restoration Problems
Fangzhou Luo, Xiaolin Wu, Yanhui Guo
Functional Regularization for Reinforcement Learning via Learned Fourier Features
Alexander Li, Deepak Pathak
Functional Variational Inference based on Stochastic Process Generators
Chao Ma, José Miguel Hernández-Lobato
Fuzzy Clustering with Similarity Queries
Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal
Garment4D: Garment Reconstruction from Point Cloud Sequences
Fangzhou Hong, Liang Pan, Zhongang Cai et al.
Gauge Equivariant Transformer
Lingshen He, Yiming Dong, Yisen Wang et al.
Gaussian Kernel Mixture Network for Single Image Defocus Deblurring
Yuhui Quan, Zicong Wu, Hui Ji
GemNet: Universal Directional Graph Neural Networks for Molecules
Johannes Gasteiger, Florian Becker, Stephan Günnemann
Generalizable Imitation Learning from Observation via Inferring Goal Proximity
Youngwoon Lee, Andrew Szot, Shao-Hua Sun et al.
Generalizable Multi-linear Attention Network
Tao Jin, Zhou Zhao