Papers
14,212 papers found
Lifted Symmetry Detection and Breaking for MAP Inference
Timothy Kopp, Parag Singla, Henry Kautz
Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction
Been Kim, Julie A Shah, Finale Doshi-Velez
Exploring Models and Data for Image Question Answering
Mengye Ren, Ryan Kiros, Richard Zemel
Community Detection via Measure Space Embedding
Mark Kozdoba, Shie Mannor
Expectation Particle Belief Propagation
Thibaut Lienart, Yee Whye Teh, Arnaud Doucet
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation
Alaa Saade, Florent Krzakala, Lenka Zdeborová
Bounding errors of Expectation-Propagation
Guillaume P Dehaene, Simon Barthelmé
Orthogonal NMF through Subspace Exploration
Megasthenis Asteris, Dimitris Papailiopoulos, Alexandros G Dimakis
M-Statistic for Kernel Change-Point Detection
Shuang Li, Yao Xie, Hanjun Dai et al.
Stochastic Expectation Propagation
Yingzhen Li, José Miguel Hernández-Lobato, Richard E Turner
Decomposition Bounds for Marginal MAP
Wei Ping, Qiang Liu, Alex Ihler
Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks
Noah Apthorpe, Alexander Riordan, Robert Aguilar et al.
Single-Image Depth Perception in the Wild
Weifeng Chen, Zhao Fu, Dawei Yang et al.
Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models
Tomoharu Iwata, Makoto Yamada
Improving PAC Exploration Using the Median Of Means
Jason Pazis, Ronald E Parr, Jonathan P How
Domain Separation Networks
Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman et al.
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai, Yi Li, Kaiming He et al.
Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition
Jinzhuo Wang, Wenmin Wang, xiongtao Chen et al.
Community Detection on Evolving Graphs
Aris Anagnostopoulos, Jakub Łącki, Silvio Lattanzi et al.
Deep Exploration via Bootstrapped DQN
Ian Osband, Charles Blundell, Alexander Pritzel et al.
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
Matteo Turchetta, Felix Berkenkamp, Andreas Krause
Scalable Adaptive Stochastic Optimization Using Random Projections
Gabriel Krummenacher, Brian McWilliams, Yannic Kilcher et al.
VIME: Variational Information Maximizing Exploration
Rein Houthooft, Xi Chen, Xi Chen et al.
Unifying Count-Based Exploration and Intrinsic Motivation
Marc Bellemare, Sriram Srinivasan, Georg Ostrovski et al.