Papers
Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints
Ehsan Kazemi, Morteza Zadimoghaddam, Amin Karbasi
Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective
Suryansh Kumar, Anoop Cherian, Yuchao Dai et al.
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
Matthew O'Kelly, Aman Sinha, Hongseok Namkoong et al.
Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data
Chong You, Chi Li, Daniel P. Robinson et al.
Scalable Factorized Hierarchical Variational Autoencoder Training
Wei-Ning Hsu, James Glass
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition
Pavel Izmailov, Alexander Novikov, Dmitry Kropotov
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)
Trefor Evans, Prasanth Nair
Scalable Generalized Dynamic Topic Models
Patrick Jähnichen, Florian Wenzel, Marius Kloft et al.
Scalable Hash-Based Estimation of Divergence Measures
Morteza Noshad, Alfred Hero
Scalable Hyperparameter Transfer Learning
Valerio Perrone, Rodolphe Jenatton, Matthias W Seeger et al.
Scalable Initial State Interdiction for Factored MDPs
Swetasudha Panda, Yevgeniy Vorobeychik
Scalable Laplacian K-modes
Imtiaz Ziko, Eric Granger, Ismail Ben Ayed
Scalable methods for 8-bit training of neural networks
Ron Banner, Itay Hubara, Elad Hoffer et al.
Scalable Multiplex Network Embedding
Hongming Zhang, Liwei Qiu, Lingling Yi et al.
Scalable Private Learning with PATE
Nicolas Papernot, Shuang Song, Ilya Mironov et al.
Scalable Probabilistic Causal Structure Discovery
Dhanya Sridhar, Jay Pujara, Lise Getoor
Scalable Robust Matrix Factorization with Nonconvex Loss
Quanming Yao, James Kwok
Scalable Rule Learning via Learning Representation
Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang
Scalable Wide and Deep Learning for Computer Assisted Coding
Marilisa Amoia, Frank Diehl, Jesus Gimenez et al.
Scalar Posterior Sampling with Applications
Georgios Theocharous, Zheng Wen, Yasin Abbasi Yadkori et al.
Scale Aggregation Network for Accurate and Efficient Crowd Counting
Xinkun Cao, Zhipeng Wang, Yanyun Zhao et al.
Scale-Awareness of Light Field Camera based Visual Odometry
Niclas Zeller, Franz Quint, Uwe Stilla
Scale-Recurrent Network for Deep Image Deblurring
Xin Tao, Hongyun Gao, Xiaoyong Shen et al.
Scale-Transferrable Object Detection
Peng Zhou, Bingbing Ni, Cong Geng et al.
Scaling Egocentric Vision: The EPIC-KITCHENS Dataset
Dima Damen, Hazel Doughty, Giovanni Maria Farinella et al.