Papers
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe
Quentin Berthet, Vianney Perchet
Fast Rates for Empirical Risk Minimization of Strict Saddle Problems
Alon Gonen, Shai Shalev-Shwartz
Fast rates for online learning in Linearly Solvable Markov Decision Processes
Gergely Neu, Vicenç Gómez
Fast Recursive Low-rank Tensor Learning for Regression
Ming Hou, Brahim Chaib-draa
Fast Residual Forests: Rapid Ensemble Learning for Semantic Segmentation
Yan Zuo, Tom Drummond
Fastron: An Online Learning-Based Model and Active Learning Strategy for Proxy Collision Detection
Nikhil Das, Naman Gupta, Michael Yip
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval
Gauri Jagatap, Chinmay Hegde
Fast-Slow Recurrent Neural Networks
Asier Mujika, Florian Meier, Angelika Steger
Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization
Ivan Stojkovic, Vladisav Jelisavcic, Veljko Milutinovic et al.
Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization
Yue Yu, Longbo Huang
Fast SVM Trained by Divide-and-Conquer Anchors
Meng Liu, Chang Xu, Chao Xu et al.
Fast Trajectory Optimization for Agile Quadrotor Maneuvers with a Cable-Suspended Payload
Philipp Foehn, Davide Falanga, Naveen Kuppuswamy et al.
Fast Video Classification via Adaptive Cascading of Deep Models
Haichen Shen, Seungyeop Han, Matthai Philipose et al.
FC4: Fully Convolutional Color Constancy With Confidence-Weighted Pooling
Yuanming Hu, Baoyuan Wang, Stephen Lin
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
Seungryong Kim, Dongbo Min, Bumsub Ham et al.
Feature Hashing for Language and Dialect Identification
Shervin Malmasi, Mark Dras
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin, Piotr Dollar, Ross Girshick et al.
Feature-Rich Networks for Knowledge Base Completion
Alexandros Komninos, Suresh Manandhar
Feature Selection Based on CQCCs for Automatic Speaker Verification Spoofing
Xianliang Wang, Yanhong Xiao, Xuan Zhu
Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines
Jinglin Xu, Feiping Nie, Junwei Han
Federated Multi-Task Learning
Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi et al.
Feedback Networks
Amir R. Zamir, Te-Lin Wu, Lin Sun et al.
Feedback Synthesis for Controllable Underactuated Systems using Sequential Second Order Actions
Giorgos Mamakoukas, Malcolm MacIver, Todd Murphey
FeUdal Networks for Hierarchical Reinforcement Learning
Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul et al.