Papers
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.
Fine-Grained Machine Teaching with Attention Modeling
Jiacheng Liu, Xiaofeng Hou, Feilong Tang
Fine-Grained Named Entity Typing over Distantly Supervised Data Based on Refined Representations
Muhammad Asif Ali, Yifang Sun, Bing Li et al.
Fine-Grained Recognition: Accounting for Subtle Differences between Similar Classes
Guolei Sun, Hisham Cholakkal, Salman Khan et al.
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation
Junliang Guo, Xu Tan, Linli Xu et al.
FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-Scale Temporal Loss
Soo Ye Kim, Jihyong Oh, Munchurl Kim
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
Kristopher De Asis, Alan Chan, Silviu Pitis et al.
FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis
Kuangxiao Gu, Yuqian Zhou, Thomas Huang
FlowScope: Spotting Money Laundering Based on Graphs
Xiangfeng Li, Shenghua Liu, Zifeng Li et al.
Focusing on Detail: Deep Hashing Based on Multiple Region Details (Student Abstract)
Quan Zhou, Xiushan Nie, Yang Shi et al.