Papers
Rushing and Strolling among Answer Sets – Navigation Made Easy
Johannes Klaus Fichte, Sarah Alice Gaggl, Dominik Rusovac
Safe Distillation Box
Jingwen Ye, Yining Mao, Jie Song et al.
Safe Online Convex Optimization with Unknown Linear Safety Constraints
Sapana Chaudhary, Dileep Kalathil
Safe Subgame Resolving for Extensive Form Correlated Equilibrium
Chun Kai Ling, Fei Fang
SAIL: Self-Augmented Graph Contrastive Learning
Lu Yu, Shichao Pei, Lizhong Ding et al.
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing
Joonhyung Park, June Yong Yang, Jinwoo Shin et al.
Same State, Different Task: Continual Reinforcement Learning without Interference
Samuel Kessler, Jack Parker-Holder, Philip Ball et al.
Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability
Yafei Wang, Bo Pan, Wei Tu et al.
Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs
Siow Meng Low, Akshat Kumar, Scott Sanner
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic
Zhihai Wang, Jie Wang, Qi Zhou et al.
Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise
Thom S. Badings, Alessandro Abate, Nils Jansen et al.
SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection
Chen Chen, Zhe Chen, Jing Zhang et al.
SAS: Self-Augmentation Strategy for Language Model Pre-training
Yifei Xu, Jingqiao Zhang, Ru He et al.
Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification
Anshuka Rangi, Long Tran-Thanh, Haifeng Xu et al.
Scaled ReLU Matters for Training Vision Transformers
Pichao Wang, Xue Wang, Hao Luo et al.
Scaling Neural Program Synthesis with Distribution-Based Search
Nathanaël Fijalkow, Guillaume Lagarde, Théo Matricon et al.
Scaling Up Influence Functions
Andrea Schioppa, Polina Zablotskaia, David Vilar et al.
SCALoss: Side and Corner Aligned Loss for Bounding Box Regression
Tu Zheng, Shuai Zhao, Yang Liu et al.
SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation
Wuyang Li, Xinyu Liu, Xiwen Yao et al.
SCIR-Net: Structured Color Image Representation Based 3D Object Detection Network from Point Clouds
Qingdong He, Hao Zeng, Yi Zeng et al.
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models
Zhen Lin, Lucas Glass, M. Brandon Westover et al.
SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution
Jiangning Zhang, Chao Xu, Jian Li et al.
SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation
Bing Li, Cheng Zheng, Silvio Giancola et al.
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation
Shailza Jolly, Zi Xuan Zhang, Andreas Dengel et al.