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Papers (including subtopics)

Scalable Greedy Feature Selection via Weak Submodularity AISTATS 2017 Scalable Model Selection for Belief Networks NeurIPS 2017 Scalable Multi-Class Gaussian Process Classification using Expectation Propagation ICML 2017 Scalable Normalized Cut with Improved Spectral Rotation IJCAI 2017 Scalable Person Re-Identification on Supervised Smoothed Manifold CVPR 2017 Scale-Invariant Recognition by Weight-Shared CNNs in Parallel ACML 2017 Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction ICML 2017 SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations EMNLP 2017 Scene Graph Generation by Iterative Message Passing CVPR 2017 SchNet: A continuous-filter convolutional neural network for modeling quantum interactions NeurIPS 2017 Scientific Information Extraction with Semi-supervised Neural Tagging EMNLP 2017 Second-Order Kernel Online Convex Optimization with Adaptive Sketching ICML 2017 See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification CVPR 2017 See without looking: joint visualization of sensitive multi-site datasets IJCAI 2017 SEF@UHH at SemEval-2017 Task 1: Unsupervised Knowledge-Free Semantic Textual Similarity via Paragraph Vector SemEval 2017 Segmentation-Free Word Embedding for Unsegmented Languages EMNLP 2017 Selective Classification for Deep Neural Networks NeurIPS 2017 Selective Inference for Sparse High-Order Interaction Models ICML 2017 Self-Adjusting Memory: How to Deal with Diverse Drift Types IJCAI 2017 Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model CVPR 2017 Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding IJCAI 2017 Self-paced Mixture of Regressions IJCAI 2017 Self-Paced Multitask Learning with Shared Knowledge IJCAI 2017 Self-Supervised Learning of Visual Features Through Embedding Images Into Text Topic Spaces CVPR 2017 Self-weighted Multiview Clustering with Multiple Graphs IJCAI 2017