Papers
Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification
Yinhua Piao, Sangseon Lee, Dohoon Lee et al.
Sparsification of Decomposable Submodular Functions
Akbar Rafiey, Yuichi Yoshida
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio et al.
Spatial Frequency Bias in Convolutional Generative Adversarial Networks
Mahyar Khayatkhoei, Ahmed Elgammal
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation
Ziluo Ding, Rui Zhao, Jiyuan Zhang et al.
Speeding Up the RUL¯ Dynamic-Controllability-Checking Algorithm for Simple Temporal Networks with Uncertainty
Luke Hunsberger, Roberto Posenato
SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks
Fangxin Liu, Wenbo Zhao, Yongbiao Chen et al.
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning
Wachirawit Ponghiran, Kaushik Roy
Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs
Nils Wandel, Michael Weinmann, Michael Neidlin et al.
SplitFed: When Federated Learning Meets Split Learning
Chandra Thapa, Pathum Chamikara Mahawaga Arachchige, Seyit Camtepe et al.
Split Moves for Monte-Carlo Tree Search
Jakub Kowalski, Maksymilian Mika, Wojciech Pawlik et al.
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data
Chaoyang He, Emir Ceyani, Keshav Balasubramanian et al.
SSAST: Self-Supervised Audio Spectrogram Transformer
Yuan Gong, Cheng-I Lai, Yu-An Chung et al.
SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal
Zhaoyang Sun, Yaxiong Chen, Shengwu Xiong
Stability Verification in Stochastic Control Systems via Neural Network Supermartingales
Mathias Lechner, Đorđe Žikelić, Krishnendu Chatterjee et al.
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms
Liyuan Zheng, Tanner Fiez, Zane Alumbaugh et al.
Stage Conscious Attention Network (SCAN): A Demonstration-Conditioned Policy for Few-Shot Imitation
Jia-Fong Yeh, Chi-Ming Chung, Hung-Ting Su et al.
State Deviation Correction for Offline Reinforcement Learning
Hongchang Zhang, Jianzhun Shao, Yuhang Jiang et al.
Static-Dynamic Co-teaching for Class-Incremental 3D Object Detection
Na Zhao, Gim Hee Lee
Stationary Diffusion State Neural Estimation for Multiview Clustering
Chenghua Liu, Zhuolin Liao, Yixuan Ma et al.
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
Jiahao Ji, Jingyuan Wang, Zhe Jiang et al.
STEM: Unsupervised STructural EMbedding for Stance Detection
Ron Korenblum Pick, Vladyslav Kozhukhov, Dan Vilenchik et al.
StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts
Zhengxiang Shi, Qiang Zhang, Aldo Lipani
STEPS: Semantic Typing of Event Processes with a Sequence-to-Sequence Approach
Sveva Pepe, Edoardo Barba, Rexhina Blloshmi et al.