Papers
See without looking: joint visualization of sensitive multi-site datasets
Debbrata K. Saha, Vince D. Calhoun, Sandeep R. Panta et al.
SEF@UHH at SemEval-2017 Task 1: Unsupervised Knowledge-Free Semantic Textual Similarity via Paragraph Vector
Mirela-Stefania Duma, Wolfgang Menzel
SEGAN: Speech Enhancement Generative Adversarial Network
Santiago Pascual, Antonio Bonafonte, Joan Serrà
SegFlow: Joint Learning for Video Object Segmentation and Optical Flow
Jingchun Cheng, Yi-Hsuan Tsai, Shengjin Wang et al.
Segmentation-Aware Convolutional Networks Using Local Attention Masks
Adam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos
Segmentation-Free Word Embedding for Unsegmented Languages
Takamasa Oshikiri
Segmentation Guided Attention Networks for Visual Question Answering
Vasu Sharma, Ankita Bishnu, Labhesh Patel
Segmenting Chinese Microtext: Joint Informal-Word Detection and Segmentation with Neural Networks
Meishan Zhang, Guohong Fu, Nan Yu
Segment-Level Neural Conditional Random Fields for Named Entity Recognition
Motoki Sato, Hiroyuki Shindo, Ikuya Yamada et al.
Segment Level Voice Conversion with Recurrent Neural Networks
Miguel Varela Ramos, Alan W. Black, Ramon Fernandez Astudillo et al.
Select-and-Evaluate: A Learning Framework for Large-Scale Knowledge Graph Search
F A Rezaur Rahman Chowdhury, Chao Ma, Md Rakibul Islam et al.
Selective Classification for Deep Neural Networks
Yonatan Geifman, Ran El-Yaniv
Selective Decoding for Cross-lingual Open Information Extraction
Sheng Zhang, Kevin Duh, Benjamin Van Durme
Selective Encoding for Abstractive Sentence Summarization
Qingyu Zhou, Nan Yang, Furu Wei et al.
Selective Inference for Sparse High-Order Interaction Models
Shinya Suzumura, Kazuya Nakagawa, Yuta Umezu et al.
Self-Adjusting Memory: How to Deal with Diverse Drift Types
Viktor Losing, Barbara Hammer, Heiko Wersing
Self-Calibration-Based Approach to Critical Motion Sequences of Rolling-Shutter Structure From Motion
Eisuke Ito, Takayuki Okatani
Self-Critical Sequence Training for Image Captioning
Steven J. Rennie, Etienne Marcheret, Youssef Mroueh et al.
Self-Crowdsourcing Training for Relation Extraction
Azad Abad, Moin Nabi, Alessandro Moschitti
Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model
Qixiang Ye, Tianliang Zhang, Wei Ke et al.
Self-Normalizing Neural Networks
Günter Klambauer, Thomas Unterthiner, Andreas Mayr et al.
Self-Organized Text Detection With Minimal Post-Processing via Border Learning
Yue Wu, Prem Natarajan
Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding
Shuangyin Li, Rong Pan, Jun Yan
Self-paced Convolutional Neural Networks
Hao Li, Maoguo Gong
Self-Paced Co-training
Fan Ma, Deyu Meng, Qi Xie et al.