Papers
Self-correcting Q-learning
Rong Zhu, Mattia Rigotti
Self-Domain Adaptation for Face Anti-Spoofing
Jingjing Wang, Jingyi Zhang, Ying Bian et al.
Selfish Creation of Social Networks
Davide Bilò, Tobias Friedrich, Pascal Lenzner et al.
Self-Paced Two-dimensional PCA
Jiangxin Li, Zhao Kang, Chong Peng et al.
Self-Progressing Robust Training
Minhao Cheng, Pin-Yu Chen, Sijia Liu et al.
Self-Supervised Attention-Aware Reinforcement Learning
Haiping Wu, Khimya Khetarpal, Doina Precup
Self-supervised Bilingual Syntactic Alignment for Neural Machine Translation
Tianfu Zhang, Heyan Huang, Chong Feng et al.
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
Xin Xia, Hongzhi Yin, Junliang Yu et al.
Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation
Hongbin Xu, Zhipeng Zhou, Yu Qiao et al.
Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA
Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim et al.
Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling
Zixuan Yuan, Hao Liu, Renjun Hu et al.
Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic
Hunter Lang, Hoifung Poon
Self-Supervised Sketch-to-Image Synthesis
Bingchen Liu, Yizhe Zhu, Kunpeng Song et al.
Semantic Consistency Networks for 3D Object Detection
Wenwen Wei, Ping Wei, Nanning Zheng
Semantic Grouping Network for Video Captioning
Hobin Ryu, Sunghun Kang, Haeyong Kang et al.
Semantic-guided Reinforced Region Embedding for Generalized Zero-Shot Learning
Jiannan Ge, Hongtao Xie, Shaobo Min et al.
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.