Papers
FDN: Feature Decoupling Network for Head Pose Estimation
Hao Zhang, Mengmeng Wang, Yong Liu et al.
Feature Deformation Meta-Networks in Image Captioning of Novel Objects
Tingjia Cao, Ke Han, Xiaomei Wang et al.
Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks
Ranran Huang, Hanbo Sun, Ji Liu et al.
Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework
Yansheng Wang, Yongxin Tong, Dingyuan Shi
Federated Learning for Vision-and-Language Grounding Problems
Fenglin Liu, Xian Wu, Shen Ge et al.
Federated Patient Hashing
Jie Xu, Zhenxing Xu, Peter Walker et al.
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Yang Liu, Anbu Huang, Yun Luo et al.
Feedback-Based Self-Learning in Large-Scale Conversational AI Agents
Pragaash Ponnusamy, Alireza Roshan Ghias, Chenlei Guo et al.
FET-GAN: Font and Effect Transfer via K-shot Adaptive Instance Normalization
Wei Li, Yongxing He, Yanwei Qi et al.
Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract)
Zhuoyi Wang, Yigong Wang, Yu Lin et al.
Few-Shot Bayesian Imitation Learning with Logical Program Policies
Tom Silver, Kelsey R. Allen, Alex K. Lew et al.
Few-Shot Knowledge Graph Completion
Chuxu Zhang, Huaxiu Yao, Chao Huang et al.
Few Shot Network Compression via Cross Distillation
Haoli Bai, Jiaxiang Wu, Irwin King et al.
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
Xu Qin, Zhilin Wang, Yuanchao Bai et al.
Filling Conversation Ellipsis for Better Social Dialog Understanding
Xiyuan Zhang, Chengxi Li, Dian Yu et al.
Filtration and Distillation: Enhancing Region Attention for Fine-Grained Visual Categorization
Chuanbin Liu, Hongtao Xie, Zheng-Jun Zha et al.
Finding Action Tubes with a Sparse-to-Dense Framework
Yuxi Li, Weiyao Lin, Tao Wang et al.
Finding Good Subtrees for Constraint Optimization Problems Using Frequent Pattern Mining
Hongbo Li, Jimmy Lee, He Mi et al.
Finding Minimum-Weight Link-Disjoint Paths with a Few Common Nodes
Binglin Tao, Mingyu Xiao, Jingyang Zhao
Finding Most Compatible Phylogenetic Trees over Multi-State Characters
Tuukka Korhonen, Matti Järvisalo
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning
Liang Tong, Aron Laszka, Chao Yan et al.
Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks
Yingying Zhang, Junyu Gao, Xiaoshan Yang et al.
Fine-Grained Argument Unit Recognition and Classification
Dietrich Trautmann, Johannes Daxenberger, Christian Stab et al.
Fine-Grained Entity Typing for Domain Independent Entity Linking
Yasumasa Onoe, Greg Durrett
Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network
Zhe Ma, Jianfeng Dong, Zhongzi Long et al.