Papers
A Web-based Collaborative Evaluation Tool for Automatically Learned Relation Extraction Patterns
Leonhard Hennig, Hong Li, Sebastian Krause et al.
A Weighted Sparse Coding Framework for Saliency Detection
Nianyi Li, Bilin Sun, Jingyi Yu
A Word Embedding Approach to Predicting the Compositionality of Multiword Expressions
Bahar Salehi, Paul Cook, Timothy Baldwin
AZMAT: Sentence Similarity Using Associative Matrices
Evan Jaffe, Lifeng Jin, David King et al.
Background Subtraction via Generalized Fused Lasso Foreground Modeling
Bo Xin, Yuan Tian, Yizhou Wang et al.
Backpropagation for Energy-Efficient Neuromorphic Computing
Steve K Esser, Rathinakumar Appuswamy, Paul Merolla et al.
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions
Dominik Rothenhäusler, Christina Heinze, Jonas Peters et al.
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades
Mehrdad Farajtabar, Manuel Gomez Rodriguez, Mohammad Zamani et al.
Bad Universal Priors and Notions of Optimality
Jan Leike, Marcus Hutter
Bag-of-Words Forced Decoding for Cross-Lingual Information Retrieval
Felix Hieber, Stefan Riezler
Bandit Convex Optimization: \sqrtT Regret in One Dimension
Sébastien Bubeck, Ofer Dekel, Tomer Koren et al.
Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff
Ofer Dekel, Ronen Eldan, Tomer Koren
Bandits with Unobserved Confounders: A Causal Approach
Elias Bareinboim, Andrew Forney, Judea Pearl
Barrier Frank-Wolfe for Marginal Inference
Rahul G Krishnan, Simon Lacoste-Julien, David Sontag
Basis Mapping Based Boosting for Object Detection
Haoyu Ren, Ze-Nian Li
Basis refinement strategies for linear value function approximation in MDPs
Gheorghe Comanici, Doina Precup, Prakash Panangaden
Batched Bandit Problems
Vianney Perchet, Philippe Rigollet, Sylvain Chassang et al.
Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization
Adith Swaminathan, Thorsten Joachims
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe, Christian Szegedy
Batch Reinforcement Learning for Smart Home Energy Management
Heider Berlink, Anna HR Costa
Bayesian Active Model Selection with an Application to Automated Audiometry
Jacob Gardner, Gustavo Malkomes, Roman Garnett et al.
Bayesian Adaptive Matrix Factorization With Automatic Model Selection
Peixian Chen, Naiyan Wang, Nevin L. Zhang et al.
Bayesian and Empirical Bayesian Forests
Taddy Matthew, Chun-Sheng Chen, Jun Yu et al.
Bayesian dark knowledge
Anoop Korattikara Balan, Vivek Rathod, Kevin P. Murphy et al.