Papers
Strategyproof and Approximately Maxmin Fair Share Allocation of Chores
Haris Aziz, Bo Li, Xiaowei Wu
Stratified Evidence Logics
Philippe Balbiani, David Fernández-Duque, Andreas Herzig et al.
Strong Fully Observable Non-Deterministic Planning with LTL and LTLf Goals
Alberto Camacho, Sheila A. McIlraith
Structure-Aware Residual Pyramid Network for Monocular Depth Estimation
Xiaotian Chen, Xuejin Chen, Zheng-Jun Zha
Structure Learning for Safe Policy Improvement
Thiago D. Simão, Matthijs T. J. Spaan
Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search
Thomas Gabor, Jan Peter, Thomy Phan et al.
Submodular Batch Selection for Training Deep Neural Networks
K J Joseph, Vamshi Teja R, Krishnakant Singh et al.
Successor Options: An Option Discovery Framework for Reinforcement Learning
Rahul Ramesh, Manan Tomar, Balaraman Ravindran
Success Prediction on Crowdfunding with Multimodal Deep Learning
Chaoran Cheng, Fei Tan, Xiurui Hou et al.
Supervised Short-Length Hashing
Xingbo Liu, Xiushan Nie, Quan Zhou et al.
Swell-and-Shrink: Decomposing Image Captioning by Transformation and Summarization
Hanzhang Wang, Hanli Wang, Kaisheng Xu
Sybil-Resilient Reality-Aware Social Choice
Gal Shahaf, Ehud Shapiro, Nimrod Talmon
Synthesizing Datalog Programs using Numerical Relaxation
Xujie Si, Mukund Raghothaman, Kihong Heo et al.
SynthNet: Learning to Synthesize Music End-to-End
Florin Schimbinschi, Christian Walder, Sarah M. Erfani et al.
Systematic Conservation Planning for Sustainable Land-use Policies: A Constrained Partitioning Approach to Reserve Selection and Design.
Dimitri Justeau-Allaire, Philippe Vismara, Philippe Birnbaum et al.
Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks
Yun Wang, Lun Du, Guojie Song et al.
Talking Face Generation by Conditional Recurrent Adversarial Network
Yang Song, Jingwen Zhu, Dawei Li et al.
Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes
Yikai Zhang, Hui Qu, Chao Chen et al.
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir, Alexander Sax, William Shen et al.
T-CVAE: Transformer-Based Conditioned Variational Autoencoder for Story Completion
Tianming Wang, Xiaojun Wan
Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei et al.
Technical, Hard and Explainable Question Answering (THE-QA)
Shailaja Sampat