Papers
Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions
Mingrui Liu, Xiaoxuan Zhang, Lijun Zhang et al.
Fast Similarity Search via Optimal Sparse Lifting
Wenye Li, Jingwei Mao, Yin Zhang et al.
FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification
Yixiao Ge, Zhuowan Li, Haiyu Zhao et al.
Fighting Boredom in Recommender Systems with Linear Reinforcement Learning
Romain WARLOP, Alessandro Lazaric, Jérémie Mary
First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time
Yi Xu, Rong Jin, Tianbao Yang
FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction
Shuyang Sun, Jiangmiao Pang, Jianping Shi et al.
Flexible and accurate inference and learning for deep generative models
Eszter Vértes, Maneesh Sahani
Flexible neural representation for physics prediction
Damian Mrowca, Chengxu Zhuang, Elias Wang et al.
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger
Gabriel Synnaeve, Zeming Lin, Jonas Gehring et al.
Found Graph Data and Planted Vertex Covers
Austin R Benson, Jon Kleinberg
FRAGE: Frequency-Agnostic Word Representation
Chengyue Gong, Di He, Xu Tan et al.
Frequency-Domain Dynamic Pruning for Convolutional Neural Networks
Zhenhua Liu, Jizheng Xu, Xiulian Peng et al.
From Stochastic Planning to Marginal MAP
Hao(Jackson) Cui, Radu Marinescu, Roni Khardon
Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices
Jinhwan Park, Yoonho Boo, Iksoo Choi et al.
Fully Understanding The Hashing Trick
Casper B. Freksen, Lior Kamma, Kasper Green Larsen
Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence
Trong Dinh Thac Do, Longbing Cao
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
Jie Hu, Li Shen, Samuel Albanie et al.
Gaussian Process Conditional Density Estimation
Vincent Dutordoir, Hugh Salimbeni, James Hensman et al.
Gaussian Process Prior Variational Autoencoders
Francesco Paolo Casale, Adrian Dalca, Luca Saglietti et al.
Generalisation in humans and deep neural networks
Robert Geirhos, Carlos R. M. Temme, Jonas Rauber et al.
Generalisation of structural knowledge in the hippocampal-entorhinal system
James Whittington, Timothy Muller, Shirely Mark et al.
Generalization Bounds for Uniformly Stable Algorithms
Vitaly Feldman, Jan Vondrak
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Zhilu Zhang, Mert Sabuncu