Papers
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees
François-Xavier Briol, Chris Oates, Mark Girolami et al.
Frequency-Based Environment Matting by Compressive Sensing
Yiming Qian, Minglun Gong, Yee-Hong Yang
From Averaging to Acceleration, There is Only a Step-size
Nicolas Flammarion, Francis Bach
From Captions to Visual Concepts and Back
Hao Fang, Saurabh Gupta, Forrest Iandola et al.
From Categories to Subcategories: Large-Scale Image Classification With Partial Class Label Refinement
Marko Ristin, Juergen Gall, Matthieu Guillaumin et al.
From Dependency to Causality: A Machine Learning Approach
Gianluca Bontempi, Maxime Flauder
From Dictionary of Visual Words to Subspaces: Locality-Constrained Affine Subspace Coding
Peihua Li, Xiaoxiao Lu, Qilong Wang
From Emotions to Action Units With Hidden and Semi-Hidden-Task Learning
Adria Ruiz, Joost Van de Weijer, Xavier Binefa
From Facial Parts Responses to Face Detection: A Deep Learning Approach
Shuo Yang, Ping Luo, Chen-Change Loy et al.
From Image-Level to Pixel-Level Labeling With Convolutional Networks
Pedro O. Pinheiro, Ronan Collobert
From random walks to distances on unweighted graphs
Tatsunori Hashimoto, Yi Sun, Tommi Jaakkola
From Single Image Query to Detailed 3D Reconstruction
Johannes L. Schonberger, Filip Radenovic, Ondrej Chum et al.
From Word Embeddings To Document Distances
Matt Kusner, Yu Sun, Nicholas Kolkin et al.
Fully Connected Guided Image Filtering
Longquan Dai, Mengke Yuan, Feihu Zhang et al.
Fully Connected Object Proposals for Video Segmentation
Federico Perazzi, Oliver Wang, Markus Gross et al.
Fully Convolutional Networks for Semantic Segmentation
Jonathan Long, Evan Shelhamer, Trevor Darrell
Functional Correspondence by Matrix Completion
Artiom Kovnatsky, Michael M. Bronstein, Xavier Bresson et al.
Functional Subspace Clustering with Application to Time Series
Mohammad Taha Bahadori, David Kale, Yingying Fan et al.
Fusing Subcategory Probabilities for Texture Classification
Yang Song, Weidong Cai, Qing Li et al.
Fusion Moves for Correlation Clustering
Thorsten Beier, Fred A. Hamprecht, Jorg H. Kappes
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning
Jiajun Wu, Ilker Yildirim, Joseph J. Lim et al.
Gamma Processes, Stick-Breaking, and Variational Inference
Anirban Roychowdhury, Brian Kulis
GAP Safe screening rules for sparse multi-task and multi-class models
Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort et al.
Gated Feedback Recurrent Neural Networks
Junyoung Chung, Caglar Gulcehre, Kyunghyun Cho et al.
Gaussian Processes for Bayesian hypothesis tests on regression functions
Alessio Benavoli, Francesca Mangili