Papers
Socially Intelligent Affective AI
Aarti Malhotra
SOIT: Segmenting Objects with Instance-Aware Transformers
Xiaodong Yu, Dahu Shi, Xing Wei et al.
Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks
Kevin Osanlou, Jeremy Frank, Andrei Bursuc et al.
Solving PDE-Constrained Control Problems Using Operator Learning
Rakhoon Hwang, Jae Yong Lee, Jin Young Shin et al.
Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract)
Atharv Sonwane, Gautam Shroff, Lovekesh Vig et al.
Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference
Zixia Jia, Zhaohui Yan, Haoyi Wu et al.
Sparse Cross-Scale Attention Network for Efficient LiDAR Panoptic Segmentation
Shuangjie Xu, Rui Wan, Maosheng Ye et al.
Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?
Chuanxin Tang, Yucheng Zhao, Guangting Wang et al.
Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks
Francesco Croce, Maksym Andriushchenko, Naman D. Singh et al.
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.