Papers
Semantic MapNet: Building Allocentric Semantic Maps and Representations from Egocentric Views
Vincent Cartillier, Zhile Ren, Neha Jain et al.
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
Semantics-Aware Inferential Network for Natural Language Understanding
Shuiliang Zhang, Hai Zhao, Junru Zhou et al.
Semi-Discrete Social Recommendation (Student Abstract)
Fangyuan Luo, Jun Wu, Haishuai Wang
Semi-Supervised Knowledge Amalgamation for Sequence Classification
Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong et al.
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus
Marius Leordeanu, Mihai Cristian Pîrvu, Dragos Costea et al.
Semi-Supervised Learning via Triplet Network Based Active Learning (Student Abstract)
Divyanshu Sundriyal, Soumyadeep Ghosh, Mayank Vatsa et al.
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization
Kien Do, Truyen Tran, Svetha Venkatesh
Semi-supervised Medical Image Segmentation through Dual-task Consistency
Xiangde Luo, Jieneng Chen, Tao Song et al.
Semi-Supervised Metric Learning: A Deep Resurrection
Ujjal Kr Dutta, Mehrtash Harandi, C Chandra Shekhar
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks
Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
Semi-supervised Sequence Classification through Change Point Detection
Nauman Ahad, Mark A. Davenport
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems
Yuzhe Ma, Jon A Sharp, Ruizhe Wang et al.
Sequential End-to-end Network for Efficient Person Search
Zhengjia Li, Duoqian Miao
Sequential Generative Exploration Model for Partially Observable Reinforcement Learning
Haiyan Yin, Jianda Chen, Sinno Jialin Pan et al.
Shallow-UWnet: Compressed Model for Underwater Image Enhancement (Student Abstract)
Ankita Naik, Apurva Swarnakar, Kartik Mittal
Shape-based Feature Engineering for Solar Flare Prediction
Varad Deshmukh, Thomas Berger, James Meiss et al.
ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification
Guozhong Li, Byron Choi, Jianliang Xu et al.
Shape-Pose Ambiguity in Learning 3D Reconstruction from Images
Yunjie Wu, Zhengxing Sun, Youcheng Song et al.
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations
Hao-Zhe Feng, Kezhi Kong, Minghao Chen et al.
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching
Mingi Ji, Byeongho Heo, Sungrae Park
Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet
Xingwei He, Victor O.K. Li
Shuffling Recurrent Neural Networks
Michael Rotman, Lior Wolf
Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry
Matteo Castiglioni, Andrea Celli, Alberto Marchesi et al.
Similarity Reasoning and Filtration for Image-Text Matching
Haiwen Diao, Ying Zhang, Lin Ma et al.