Papers
Search Progress and Potentially Expanded States in Greedy Best-First Search
Manuel Heusner, Thomas Keller, Malte Helmert
SEARNN: Training RNNs with global-local losses
Rémi Leblond, Jean-Baptiste Alayrac, Anton Osokin et al.
Second Language Acquisition Modeling
Burr Settles, Chris Brust, Erin Gustafson et al.
Second Language Acquisition Modeling: An Ensemble Approach
Anton Osika, Susanna Nilsson, Andrii Sydorchuk et al.
Second-order Democratic Aggregation
Tsung-Yu Lin, Subhransu Maji, Piotr Koniusz
SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud
Xuhui Chen, Jinlong Ji, Lixing Yu et al.
See and Think: Disentangling Semantic Scene Completion
Shice Liu, YU HU, Yiming Zeng et al.
SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation
Gwangmo Song, Heesoo Myeong, Kyoung Mu Lee
Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal
Jie Yang, Dong Gong, Lingqiao Liu et al.
Seeing Small Faces From Robust Anchor's Perspective
Chenchen Zhu, Ran Tao, Khoa Luu et al.
Seeing Temporal Modulation of Lights From Standard Cameras
Naoki Sakakibara, Fumihiko Sakaue, Jun Sato
Seeing Tree Structure from Vibration
Tianfan Xue, Jiajun Wu, Zhoutong Zhang et al.
Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching
Arsha Nagrani, Samuel Albanie, Andrew Zisserman
Seeking Practical CDCL Insights from Theoretical SAT Benchmarks
Jan Elffers, Jesús Giráldez-Cru, Stephan Gocht et al.
SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets
Venkatesh Duppada, Royal Jain, Sushant Hiray
SeGAN: Segmenting and Generating the Invisible
Kiana Ehsani, Roozbeh Mottaghi, Ali Farhadi
SEGA: Variance Reduction via Gradient Sketching
Filip Hanzely, Konstantin Mishchenko, Peter Richtarik
SegBot: A Generic Neural Text Segmentation Model with Pointer Network
Jing Li, Aixin Sun, Shafiq Joty
Seglearn: A Python Package for Learning Sequences and Time Series
David M. Burns, Cari M. Whyne
SegMap: 3D Segment Mapping using Data-Driven Descriptors
Renaud Dubé, Andrei Cramariuc, Daniel Dugas et al.
Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition
Eugen Beck, Mirko Hannemann, Patrick Dötsch et al.
SegStereo: Exploiting Semantic Information for Disparity Estimation
Guorun Yang, Hengshuang Zhao, Jianping Shi et al.
Selecting Machine-Translated Data for Quick Bootstrapping of a Natural Language Understanding System
Judith Gaspers, Penny Karanasou, Rajen Chatterjee
Selecting Representative Examples for Program Synthesis
Yewen Pu, Zachery Miranda, Armando Solar-Lezama et al.