Papers
20,003 papers found
Solving Multiagent Planning Problems with Concurrent Conditional Effects
Daniel Furelos-Blanco, Anders Jonsson
Solving Partially Observable Stochastic Games with Public Observations
Karel Horák, Branislav Bošanský
Sparse Adversarial Perturbations for Videos
Xingxing Wei, Jun Zhu, Sha Yuan et al.
Sparse Reject Option Classifier Using Successive Linear Programming
Kulin Shah, Naresh Manwani
Spatial and Temporal Mutual Promotion for Video-Based Person Re-Identification
Yiheng Liu, Zhenxun Yuan, Wengang Zhou et al.
Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis
Masamichi Shimosaka, Yuta Hayakawa, Kota Tsubouchi
Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks
Eric Crawford, Joelle Pineau
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping
Jinyang Yuan, Bin Li, Xiangyang Xue
Spatial-Temporal Person Re-Identification
Guangcong Wang, Jianhuang Lai, Peigen Huang et al.
Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition
Bin Li, Xi Li, Zhongfei Zhang et al.
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting
Xu Geng, Yaguang Li, Leye Wang et al.
Spectral Clustering in Heterogeneous Information Networks
Xiang Li, Ben Kao, Zhaochun Ren et al.
Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model
Sabrina J. Mielke, Jason Eisner
SpHMC: Spectral Hamiltonian Monte Carlo
Haoyi Xiong, Kafeng Wang, Jiang Bian et al.
STA: Spatial-Temporal Attention for Large-Scale Video-Based Person Re-Identification
Yang Fu, Xiaoyang Wang, Yunchao Wei et al.
State Abstraction as Compression in Apprenticeship Learning
David Abel, Dilip Arumugam, Kavosh Asadi et al.
State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning
Shuai Ma, Jia Yuan Yu
Stepping Stones to Inductive Synthesis of Low-Level Looping Programs
Christopher D. Rosin
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
Dongliang He, Zhichao Zhou, Chuang Gan et al.
Stochastic Goal Recognition Design
Christabel Wayllace
Stochastic Submodular Maximization with Performance-Dependent Item Costs
Takuro Fukunaga, Takuya Konishi, Sumio Fujita et al.
Story Ending Generation with Incremental Encoding and Commonsense Knowledge
Jian Guan, Yansen Wang, Minlie Huang
Strategic Tasks for Explainable Reinforcement Learning
Rey Pocius, Lawrence Neal, Alan Fern
Strong Equivalence for Epistemic Logic Programs Made Easy
Wolfgang Faber, Michael Morak, Stefan Woltran
Structural Causal Bandits with Non-Manipulable Variables
Sanghack Lee, Elias Bareinboim