Papers
176,624 papers found
A Recurrent Latent Variable Model for Sequential Data
Junyoung Chung, Kyle Kastner, Laurent Dinh et al.
A Reduced-Dimension fMRI Shared Response Model
Po-Hsuan (Cameron) Chen, Janice Chen, Yaara Yeshurun et al.
A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits
Pratik Gajane, Tanguy Urvoy, Fabrice Clérot
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question
Haoyuan Gao, Junhua Mao, Jie Zhou et al.
Articulated Motion Discovery Using Pairs of Trajectories
Luca Del Pero, Susanna Ricco, Rahul Sukthankar et al.
A Scalable Algorithm for Structured Kernel Feature Selection
Shaogang Ren, Shuai Huang, John Onofrey et al.
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection
Dingwen Zhang, Deyu Meng, Chao Li et al.
A Simple Homotopy Algorithm for Compressive Sensing
Lijun Zhang, Tianbao Yang, Rong Jin et al.
Ask Your Neurons: A Neural-Based Approach to Answering Questions About Images
Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
A Solution for Multi-Alignment by Transformation Synchronisation
Florian Bernard, Johan Thunberg, Peter Gemmar et al.
A Spatio-Temporal Appearance Representation for Viceo-Based Pedestrian Re-Identification
Kan Liu, Bingpeng Ma, Wei Zhang et al.
A Spatiotemporal Optimal Stopping Problem for Mission Monitoring with Stationary Viewpoints
Graeme Best, Wolfram Martens, Robert Fitch
A Spectral Algorithm for Inference in Hidden semi-Markov Models
Igor Melnyk, Arindam Banerjee
A Square Root Inverse Filter for Efficient Vision-aided Inertial Navigation on Mobile Devices
Kejian Wu, Ahmed Ahmed, Georgios Georgiou et al.
As-Rigid-As-Possible Volumetric Shape-From-Template
Shaifali Parashar, Daniel Pizarro, Adrien Bartoli et al.
Associating Neural Word Embeddings With Deep Image Representations Using Fisher Vectors
Benjamin Klein, Guy Lev, Gil Sadeh et al.
Associative Memory via a Sparse Recovery Model
Arya Mazumdar, Ankit Singh Rawat
A Stable Multi-Scale Kernel for Topological Machine Learning
Jan Reininghaus, Stefan Huber, Ulrich Bauer et al.
A Statistical Model of Riemannian Metric Variation for Deformable Shape Analysis
Andrea Gasparetto, Andrea Torsello
A Statistical Perspective on Algorithmic Leveraging
Ping Ma, Michael W. Mahoney, Bin Yu
A Structural Smoothing Framework For Robust Graph Comparison
Pinar Yanardag, S.V.N. Vishwanathan
A Supervised Low-Rank Method for Learning Invariant Subspaces
Farzad Siyahjani, Ranya Almohsen, Sinan Sabri et al.
Asymmetric Transfer Learning with Deep Gaussian Processes
Melih Kandemir