Papers
176,624 papers found
Saliency, Scale and Information: Towards a Unifying Theory
Shafin Rahman, Neil Bruce
Salient Object Detection via Bootstrap Learning
Na Tong, Huchuan Lu, Xiang Ruan et al.
Salient Object Subitizing
Jianming Zhang, Shugao Ma, Mehrnoosh Sameki et al.
SAMOA: Scalable Advanced Massive Online Analysis
Gianmarco De Francisci Morales, Albert Bifet
Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning
Christoph Dann, Emma Brunskill
Sample Complexity of Learning Mahalanobis Distance Metrics
Nakul Verma, Kristin Branson
Sample Efficient Path Integral Control under Uncertainty
Yunpeng Pan, Evangelos Theodorou, Michail Kontitsis
Sampling from Probabilistic Submodular Models
Alkis Gotovos, Hamed Hassani, Andreas Krause
Saturation-Preserving Specular Reflection Separation
Yuanliu Liu, Zejian Yuan, Nanning Zheng et al.
Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models
Michael C Hughes, William T Stephenson, Erik Sudderth
Scalable Bayesian Optimization Using Deep Neural Networks
Jasper Snoek, Oren Rippel, Kevin Swersky et al.
Scalable Deep Poisson Factor Analysis for Topic Modeling
Zhe Gan, Changyou Chen, Ricardo Henao et al.
Scalable Inference for Gaussian Process Models with Black-Box Likelihoods
Amir Dezfouli, Edwin V. Bonilla
Scalable Model Selection for Large-Scale Factorial Relational Models
Chunchen Liu, Lu Feng, Ryohei Fujimaki et al.
Scalable Nonlinear Embeddings for Semantic Category-Based Image Retrieval
Gaurav Sharma, Bernt Schiele
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes
Yves-Laurent Kom Samo, Stephen Roberts
Scalable Nonparametric Multiway Data Analysis
Shandian Zhe, Zenglin Xu, Xinqi Chu et al.
Scalable Object Detection by Filter Compression With Regularized Sparse Coding
Ting-Hsuan Chao, Yen-Liang Lin, Yin-Hsi Kuo et al.
Scalable Person Re-Identification: A Benchmark
Liang Zheng, Liyue Shen, Lu Tian et al.
Scalable Semi-Supervised Aggregation of Classifiers
Akshay Balsubramani, Yoav Freund
Scalable Structure From Motion for Densely Sampled Videos
Benjamin Resch, Hendrik P. A. Lensch, Oliver Wang et al.
Scalable Variational Gaussian Process Classification
James Hensman, Alexander Matthews, Zoubin Ghahramani
Scalable Variational Inference in Log-supermodular Models
Josip Djolonga, Andreas Krause
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients
Bo Xie, Yingyu Liang, Le Song