Papers
Sequential Attention with Keyword Mask Model for Community-based Question Answering
Jianxin Yang, Wenge Rong, Libin Shi et al.
Sequential Experimental Design for Transductive Linear Bandits
Tanner Fiez, Lalit Jain, Kevin G. Jamieson et al.
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning
Jyoti Aneja, Harsh Agrawal, Dhruv Batra et al.
Sequential Learning of Convolutional Features for Effective Text Classification
Avinash Madasu, Vijjini Anvesh Rao
Sequential Learning of Convolutional Features for Effective Text Classification
Avinash Madasu, Vijjini Anvesh Rao
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
George Papamakarios, David Sterratt, Iain Murray
Sequential Neural Networks as Automata
William Merrill
Sequential Neural Processes
Gautam Singh, Jaesik Yoon, Youngsung Son et al.
Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials
Onur Atan, William R. Zame, Mihaela Schaar
Sequential Recommender Systems: Challenges, Progress and Prospects
Shoujin Wang, Liang Hu, Yan Wang et al.
Serial Recall Effects in Neural Language Modeling
Hassan Hajipoor, Hadi Amiri, Maseud Rahgozar et al.
Session-Based Recommendation with Graph Neural Networks
Shu Wu, Yuyuan Tang, Yanqiao Zhu et al.
Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes
Litton J Kurisinkel, Nancy Chen
Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes
Litton J Kurisinkel, Nancy Chen
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Juho Lee, Yoonho Lee, Jungtaek Kim et al.
Sever: A Robust Meta-Algorithm for Stochastic Optimization
Ilias Diakonikolas, Gautam Kamath, Daniel Kane et al.
SFNet: Learning Object-Aware Semantic Correspondence
Junghyup Lee, Dohyung Kim, Jean Ponce et al.
SGD Converges to Global Minimum in Deep Learning via Star-convex Path
Yi Zhou, Junjie Yang, Huishuai Zhang et al.
SGD: General Analysis and Improved Rates
Robert Mansel Gower, Nicolas Loizou, Xun Qian et al.
SGD on Neural Networks Learns Functions of Increasing Complexity
Dimitris Kalimeris, Gal Kaplun, Preetum Nakkiran et al.
SGD without Replacement: Sharper Rates for General Smooth Convex Functions
Dheeraj Nagaraj, Prateek Jain, Praneeth Netrapalli
Shadowing Properties of Optimization Algorithms
Antonio Orvieto, Aurelien Lucchi
Shadow Removal via Shadow Image Decomposition
Hieu Le, Dimitris Samaras