Papers
Sequence to Better Sequence: Continuous Revision of Combinatorial Structures
Jonas Mueller, David Gifford, Tommi Jaakkola
Sequence-to-Dependency Neural Machine Translation
Shuangzhi Wu, Dongdong Zhang, Nan Yang et al.
Sequence to Sequence Learning for Event Prediction
Dai Quoc Nguyen, Dat Quoc Nguyen, Cuong Xuan Chu et al.
Sequence to Sequence Modeling for User Simulation in Dialog Systems
Paul Crook, Alex Marin
Sequence-to-Sequence Models Can Directly Translate Foreign Speech
Ron J. Weiss, Jan Chorowski, Navdeep Jaitly et al.
Sequence-to-Sequence Voice Conversion with Similarity Metric Learned Using Generative Adversarial Networks
Takuhiro Kaneko, Hirokazu Kameoka, Kaoru Hiramatsu et al.
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control
Natasha Jaques, Shixiang Gu, Dzmitry Bahdanau et al.
Sequential Graph Matching with Sequential Monte Carlo
Seong-Hwan Jun, Samuel W.K. Wong, James Zidek et al.
Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots
Yu Wu, Wei Wu, Chen Xing et al.
Sequential Multiple Hypothesis Testing with Type I Error Control
Alan Malek, Sumeet Katariya, Yinlam Chow et al.
Sequential Person Recognition in Photo Albums With a Recurrent Network
Yao Li, Guosheng Lin, Bohan Zhuang et al.
Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks
Bo Wu, Wen-Huang Cheng, Yongdong Zhang et al.
SEVEN: Deep Semi-supervised Verification Networks
Vahid Noroozi, Lei Zheng, Sara Bahaadini et al.
SFF Anti-Spoofer: IIIT-H Submission for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2017
K.N.R.K. Raju Alluri, Sivanand Achanta, Sudarsana Reddy Kadiri et al.
SGD Learns the Conjugate Kernel Class of the Network
Amit Daniely
SGM-Nets: Semi-Global Matching With Neural Networks
Akihito Seki, Marc Pollefeys
SGNMT – A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies
Felix Stahlberg, Eva Hasler, Danielle Saunders et al.
Shading Annotations in the Wild
Balazs Kovacs, Sean Bell, Noah Snavely et al.
Shadowing Synthesized Speech — Segmental Analysis of Phonetic Convergence
Iona Gessinger, Eran Raveh, Sébastien Le Maguer et al.
Shallow Updates for Deep Reinforcement Learning
Nir Levine, Tom Zahavy, Daniel J Mankowitz et al.
Shape and Material from Sound
Zhoutong Zhang, Qiujia Li, Zhengjia Huang et al.
Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis
Angela Dai, Charles Ruizhongtai Qi, Matthias Niessner
ShapeOdds: Variational Bayesian Learning of Generative Shape Models
Shireen Elhabian, Ross Whitaker
Sharp Minima Can Generalize For Deep Nets
Laurent Dinh, Razvan Pascanu, Samy Bengio et al.