Papers
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking
Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras
Shallow Domain Adaptive Embeddings for Sentiment Analysis
Prathusha K Sarma, Yingyu Liang, William Sethares
Shallow Domain Adaptive Embeddings for Sentiment Analysis
Prathusha K Sarma, Yingyu Liang, William Sethares
Shallow-Fusion End-to-End Contextual Biasing
Ding Zhao, Tara N. Sainath, David Rybach et al.
Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices
Don Dennis, Durmus Alp Emre Acar, Vikram Mandikal et al.
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing
Xinyu Wang, Yixian Liu, Zixia Jia et al.
Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes
Xiaogang Wang, Bin Zhou, Yahao Shi et al.
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models
Vincent LE GUEN, Nicolas THOME
Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images
Junbang Liang, Ming C. Lin
Shape Constraints for Set Functions
Andrew Cotter, Maya Gupta, Heinrich Jiang et al.
Shapeglot: Learning Language for Shape Differentiation
Panos Achlioptas, Judy Fan, Robert Hawkins et al.
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors
Weicheng Kuo, Anelia Angelova, Jitendra Malik et al.
Shape Reconstruction Using Differentiable Projections and Deep Priors
Matheus Gadelha, Rui Wang, Subhransu Maji
Shape Robust Text Detection With Progressive Scale Expansion Network
Wenhai Wang, Enze Xie, Xiang Li et al.
Shapes and Context: In-The-Wild Image Synthesis & Manipulation
Aayush Bansal, Yaser Sheikh, Deva Ramanan
Shape Unicode: A Unified Shape Representation
Sanjeev Muralikrishnan, Vladimir G. Kim, Matthew Fisher et al.
Shaping Belief States with Generative Environment Models for RL
Karol Gregor, Danilo Jimenez Rezende, Frederic Besse et al.
Shared-Private Bilingual Word Embeddings for Neural Machine Translation
Xuebo Liu, Derek F. Wong, Yang Liu et al.
Shared Subspace Models for Multi-Group Covariance Estimation
Alexander M. Franks, Peter Hoff
Sharing Attention Weights for Fast Transformer
Tong Xiao, Yinqiao Li, Jingbo Zhu et al.
Sharing Experience in Multitask Reinforcement Learning
Tung-Long Vuong, Do-Van Nguyen, Tai-Long Nguyen et al.
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points
Cong Fang, Zhouchen Lin, Tong Zhang
Sharp Analysis of Learning with Discrete Losses
Alex Nowak, Francis Bach, Alessandro Rudi
Sharpen Focus: Learning With Attention Separability and Consistency
Lezi Wang, Ziyan Wu, Srikrishna Karanam et al.
Sharpness of the Satisfiability Threshold for Non-Uniform Random k-SAT
Tobias Friedrich, Ralf Rothenberger